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Saat ini sampai dua puluh tahun ke depan, Indonesia memiliki jumlah kaum muda yang luar biasa. Di sisi lain, kaum muda Indonesia menghadapi... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_13733846" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Sejarah telah mencatat bahwa perjalanan bangsa Indonesia tidak pernah lepas dari  peran kaum muda. Saat ini sampai dua puluh tahun ke depan, Indonesia memiliki jumlah kaum muda yang luar biasa. Di sisi lain, kaum muda Indonesia menghadapi tantangan berupa problematika moralitas dan penurunan peran di kancah kehidupan berbangsa dan negara. Ini adalah permasalahan yang perlu kita renungkan: Bagaimana menyiapkan kepemimpinan kaum muda untuk tetap dapat berperan optimal dalam perjalanan bangsa ini? <br /><br />Penulis terinspirasi dengan konsep metode “magang” dalam rangka menyiapkan calon-calon pemimpin yang digagas oleh Ram Charan dalam bukunya Leaders at All Levels. Memang Ram Charan mengusulkan metode tersebut untuk korporasi, namun penulis berpendapat bahwa ide tersebut dapat diterapkan pada tataran negara.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13733846" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a8942c0dfc09a32ac85a7c798b3a1eb5" rel="nofollow" data-download="{"attachment_id":38114745,"asset_id":13733846,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/38114745/download_file?st=MTczOTgyNjU1NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="319407" href="https://itb.academia.edu/AgusFitriandi">Agus Fitriandi</a><script data-card-contents-for-user="319407" type="text/json">{"id":319407,"first_name":"Agus","last_name":"Fitriandi","domain_name":"itb","page_name":"AgusFitriandi","display_name":"Agus Fitriandi","profile_url":"https://itb.academia.edu/AgusFitriandi","photo":"https://0.academia-photos.com/319407/203823/10899424/s65_agus.fitriandi.jpg"}</script></span></span></li><li class="js-paper-rank-work_13733846 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="13733846"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 13733846, container: ".js-paper-rank-work_13733846", }); });</script></li><li class="js-percentile-work_13733846 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13733846; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_13733846"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_13733846 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="13733846"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13733846; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13733846]").text(description); $(".js-view-count-work_13733846").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_13733846").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="13733846"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="9401" rel="nofollow" href="https://www.academia.edu/Documents/in/Transformational_Leadership">Transformational Leadership</a><script data-card-contents-for-ri="9401" type="text/json">{"id":9401,"name":"Transformational Leadership","url":"https://www.academia.edu/Documents/in/Transformational_Leadership","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=13733846]'), work: {"id":13733846,"title":"Menyiapkan Kepemimpinan Kaum Muda","created_at":"2015-07-06T23:48:00.764-07:00","owner_id":319407,"url":"https://www.academia.edu/13733846/Menyiapkan_Kepemimpinan_Kaum_Muda","slug":"Menyiapkan_Kepemimpinan_Kaum_Muda","dom_id":"work_13733846","summary":"Sejarah telah mencatat bahwa perjalanan bangsa Indonesia tidak pernah lepas dari peran kaum muda. Saat ini sampai dua puluh tahun ke depan, Indonesia memiliki jumlah kaum muda yang luar biasa. Di sisi lain, kaum muda Indonesia menghadapi tantangan berupa problematika moralitas dan penurunan peran di kancah kehidupan berbangsa dan negara. Ini adalah permasalahan yang perlu kita renungkan: Bagaimana menyiapkan kepemimpinan kaum muda untuk tetap dapat berperan optimal dalam perjalanan bangsa ini? \n\nPenulis terinspirasi dengan konsep metode “magang” dalam rangka menyiapkan calon-calon pemimpin yang digagas oleh Ram Charan dalam bukunya Leaders at All Levels. Memang Ram Charan mengusulkan metode tersebut untuk korporasi, namun penulis berpendapat bahwa ide tersebut dapat diterapkan pada tataran 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Petroleum Condensat (GPC) sebagai Bahan Bakar Alternatif di Jawa Barat</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/81729746" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2a3796caaacc95df9bc45248732770af" rel="nofollow" data-download="{"attachment_id":87673321,"asset_id":81729746,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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href="https://www.academia.edu/1914844/PHYSIO_ACOUSTICS_STUDY_TO_FIND_OPTIMUM_INITIAL_TIME_DELAY_T1_FOR_ANGKLUNG_CONCERT_HALL">PHYSIO-ACOUSTICS STUDY TO FIND OPTIMUM INITIAL TIME DELAY (∆T1) FOR ANGKLUNG CONCERT HALL</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This research tries to find optimum delay time with autocorrelation method and physio-acoustics method from angklung music. With autocorrelation method we find the value of τe from angklung music is between 12-20 mili second,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1914844" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This research tries to find optimum delay time with autocorrelation method and physio-acoustics method from angklung music. With autocorrelation method we find the value of τe from angklung music is between 12-20 mili second, reverberation time (Tsub) is between 276-460 mili second and initial time delay (∆t1) is between 12-20 mili second. The value of τe are depended on how many angklung instruments are played at the same time and how the player play this instruments. Physio-Acoustics study is done with EEG and has a purpose to see objective response from brain because of external stimulus which is angklung music. The delay time and reverberation time of the stimuli was varied using computer software. Reverberation time variation is given from 0-2 S with a step of 250 mS Delay time variation is given from 20-60 mS with a step of 10 mS. The value of delay time that gives highest effect in increasing Alfa wave in Temporal 3 (T3), Temporal 4 (T4), and Parietal 1 (P1) is 30 mS and The value of delay time that gives highest effect in increasing Alfa wave in Parietal 2 (P2) is 50 mS. This value is higher than delay time value derived from autocorrelation calculation which is between12-20 mili second.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1914844" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0cda6de6fe69a985cd3b81107ff31794" rel="nofollow" data-download="{"attachment_id":27393719,"asset_id":1914844,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/27393719/download_file?st=MTczOTgyNjU1NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="346551" href="https://itb.academia.edu/AnugrahSabdonoSudarsono">Anugrah Sabdono Sudarsono</a><script data-card-contents-for-user="346551" type="text/json">{"id":346551,"first_name":"Anugrah Sabdono","last_name":"Sudarsono","domain_name":"itb","page_name":"AnugrahSabdonoSudarsono","display_name":"Anugrah Sabdono Sudarsono","profile_url":"https://itb.academia.edu/AnugrahSabdonoSudarsono","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_1914844 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1914844"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1914844, container: ".js-paper-rank-work_1914844", }); 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$(".js-view-count[data-work-id=1914844]").text(description); $(".js-view-count-work_1914844").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1914844").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1647180" data-work_id="1647180" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1647180/Development_of_Empirical_Model_for_Non_Destructive_Determination_of_Maturity_and_Ripeness_of_Prime_Quality_Durian_with_Ultra_Sonic">Development of Empirical Model for Non-Destructive Determination of Maturity and Ripeness of Prime Quality Durian with Ultra Sonic</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1647180" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="49eec8b3eca92b2ec42ba0b2c048e6c5" rel="nofollow" data-download="{"attachment_id":17609454,"asset_id":1647180,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/17609454/download_file?st=MTczOTgyNjU1NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1041207" href="https://itb.academia.edu/aguskrisnowo">agus krisnowo</a><script data-card-contents-for-user="1041207" type="text/json">{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}</script></span></span></li><li class="js-paper-rank-work_1647180 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1647180"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1647180, container: ".js-paper-rank-work_1647180", }); });</script></li><li class="js-percentile-work_1647180 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1647180; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1647180"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1647180 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1647180"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1647180; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1647180]").text(description); $(".js-view-count-work_1647180").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1647180").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_48071889" data-work_id="48071889" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/48071889/Analysis_of_Dynamic_Loading_on_Automatic_People_Mover_System_APMS_Bogie_Frame_According_to_UIC_Standard">Analysis of Dynamic Loading on Automatic People Mover System (APMS) Bogie Frame According to UIC Standard</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The purpose of this research is to conduct numerical analysis and verification of APMS bogie frame to withstand maximum dynamic loading with finite element analysis and to conduct design modification if bogie is not achieving safety... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_48071889" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The purpose of this research is to conduct numerical analysis and verification of APMS bogie frame to withstand maximum dynamic loading with finite element analysis and to conduct design modification if bogie is not achieving safety criterion and infinite life cycle. Stages of this research was collecting data and APMS bogie drawing from PT. INKA Madiun, then conduct identification of bogie model structure, which included quality validation of Solid CAD model and mesh quality valiadation, then determination of boundary conditions for dynamic loading to acquire simulation of fatigue loading analysis or fatigue of material due to dynamic loading. From 3rd load step smilation showed that alternating stress result was 75.813 MPa which is under the limit of High Cycle Fatigue, 97,36 Mpa, and safety factor 1.25 so that until this stage was still safe. Limit of material SM 490A touhgness used for bogie frame manufacturing on cycle 10 6 or High Cycle Fatigue (HCF) was 97.36 MPa.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/48071889" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ef1fce096b839c14ab72f258886c0f19" rel="nofollow" data-download="{"attachment_id":66873804,"asset_id":48071889,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/66873804/download_file?st=MTczOTgyNjU1NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1041207" href="https://itb.academia.edu/aguskrisnowo">agus krisnowo</a><script data-card-contents-for-user="1041207" type="text/json">{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}</script></span></span></li><li class="js-paper-rank-work_48071889 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="48071889"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 48071889, container: ".js-paper-rank-work_48071889", }); });</script></li><li class="js-percentile-work_48071889 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48071889; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_48071889"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_48071889 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="48071889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48071889; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48071889]").text(description); $(".js-view-count-work_48071889").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_48071889").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_48071892" data-work_id="48071892" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/48071892/Identification_of_the_Ecosystem_Readiness_of_Batery_Based_Electrical_Vehicles_in_Indonesia_Preliminary_Assessment">Identification of the Ecosystem Readiness of Batery Based Electrical Vehicles in Indonesia -Preliminary Assessment</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Identification has been made related to the readiness of the ecosystem development of the batterybased electric vehicle industry in Indonesia. The identification results show that the readiness of providing electricity is still quite... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_48071892" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Identification has been made related to the readiness of the ecosystem development of the batterybased electric vehicle industry in Indonesia. The identification results show that the readiness of providing electricity is still quite safe, there is still a power reserve of more than 30% during peak load. To prepare the charging station still needs to be developed, the number of public electric charging station (SPLU), is still around 7000 units spread throughout Indonesia with a power of 5.5 kVA to 22 kVA, while the number of public electric vehicle charging station (SPKLU) is still around 13 units with a power of 22 kW to 150 kW, spread over 4 cities namely Jakarta, Tangerang, Bandung and Bali. Administrative, technical provisions & roadworthy test readiness, the regulation is now in the finalization stage, one of which is related to sound intensity and classification of electric motors. For two-wheeled electric vehicles and electric buses, currently there is a domestic industry that is developing, but for four-wheeled electric vehicles, there is still not formed, althaugh the drivetrain industry is ready. As for the battery and the handling of the industrial battery waste, it has not yet been formed, it is still in the development of research scale.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/48071892" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="88f87832602ec0202d5193b218ef9514" rel="nofollow" data-download="{"attachment_id":66873801,"asset_id":48071892,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/66873801/download_file?st=MTczOTgyNjU1NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1041207" href="https://itb.academia.edu/aguskrisnowo">agus krisnowo</a><script data-card-contents-for-user="1041207" type="text/json">{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}</script></span></span></li><li class="js-paper-rank-work_48071892 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="48071892"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 48071892, container: ".js-paper-rank-work_48071892", }); });</script></li><li class="js-percentile-work_48071892 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48071892; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_48071892"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_48071892 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="48071892"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48071892; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48071892]").text(description); $(".js-view-count-work_48071892").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_48071892").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_48071893" data-work_id="48071893" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/48071893/Manufacturing_Industrial_Policy_Development_Policy_for_Electric_Propulsion_to_Improve_Local_Content_of_Railway_Industry">Manufacturing Industrial Policy Development Policy for Electric Propulsion to Improve Local Content of Railway Industry</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">To fulfill the demand for a number of railroad products, the national railroad industry, in this case PT. INKA as a train integrator industry in Indonesia still has to import components. TKDN electric train is still low. For this reason,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_48071893" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">To fulfill the demand for a number of railroad products, the national railroad industry, in this case PT. INKA as a train integrator industry in Indonesia still has to import components. TKDN electric train is still low. For this reason, it is time to prepare the industrial development of the national railway propulsion system components and even have a very urgent nature. Railway propulsion systems can be classified into three groups, namely: Electric propulsion systems, Diesel Electric propulsion systems and Diesel Hydraulic propulsion systems. Import dependence, of course, cannot be allowed to continue because it will weaken the competitiveness of the national railroad industry. From the results of the analysis using the &quot;Porter Diamond Condition&quot; method various internal and external factors were identified through the SWOT method to formulate alternative policy formulations for the development of the railroad electric propulsion system industry in Indonesia. Qualitativ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/48071893" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="48e0c3eea195c5f23949995a23db9fb9" rel="nofollow" data-download="{"attachment_id":66873468,"asset_id":48071893,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/66873468/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1041207" href="https://itb.academia.edu/aguskrisnowo">agus krisnowo</a><script data-card-contents-for-user="1041207" type="text/json">{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}</script></span></span></li><li class="js-paper-rank-work_48071893 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="48071893"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 48071893, container: ".js-paper-rank-work_48071893", }); });</script></li><li class="js-percentile-work_48071893 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 48071893; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_48071893"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_48071893 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="48071893"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48071893; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48071893]").text(description); $(".js-view-count-work_48071893").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_48071893").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_66370164" data-work_id="66370164" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/66370164/Techno_Economic_Review_on_Casting_Design_Steam_Turbine_Emergency_Stop_Valve_ESV_Housing">Techno Economic Review on Casting Design Steam Turbine Emergency Stop Valve (ESV) Housing</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The development of computer aided design (CAE) technology, especially casting simulation software (Magmasoft v5), can be utilized maximally as a tool to verify the design of castings that have been made to be able to meet the elements of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_66370164" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The development of computer aided design (CAE) technology, especially casting simulation software (Magmasoft v5), can be utilized maximally as a tool to verify the design of castings that have been made to be able to meet the elements of QCD (quality, cost, delivery) and compete in the market. This study aims to obtain an optimal ESV housing casting design by reviewing and modifying the casting design in terms of both quality and economics. The process of design optimization with casting simulation is an important step in the design and development of casting products to improve casting yield and casting quality. The optimal design of castings is obtained by improving the design through pouring system using bottom pouring and optimizing the riser design. The results of this study obtained Design # 2 as a design choice of pouring system because it can improve the quality of casting products. Design # 2 optimized again into Design # 4 as the optimum design and able to increase the yield casting by 5.11% from the previous design (Design # 2). The result of techno economic analysis shows that by allocating 4% budget for design cost can contribute to decrease of production cost of foundry ESV housing up to 54,95%.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/66370164" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="982430df16a2eb81867fb06e9cf3a721" rel="nofollow" data-download="{"attachment_id":77588810,"asset_id":66370164,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/77588810/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1041207" href="https://itb.academia.edu/aguskrisnowo">agus krisnowo</a><script data-card-contents-for-user="1041207" type="text/json">{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}</script></span></span></li><li class="js-paper-rank-work_66370164 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="66370164"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 66370164, container: ".js-paper-rank-work_66370164", }); });</script></li><li class="js-percentile-work_66370164 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 66370164; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_66370164"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_66370164 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="66370164"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 66370164; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=66370164]").text(description); $(".js-view-count-work_66370164").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_66370164").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="66370164"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a><script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=66370164]'), work: {"id":66370164,"title":"Techno Economic Review on Casting Design Steam Turbine Emergency Stop Valve (ESV) Housing","created_at":"2021-12-29T05:36:38.229-08:00","owner_id":1041207,"url":"https://www.academia.edu/66370164/Techno_Economic_Review_on_Casting_Design_Steam_Turbine_Emergency_Stop_Valve_ESV_Housing","slug":"Techno_Economic_Review_on_Casting_Design_Steam_Turbine_Emergency_Stop_Valve_ESV_Housing","dom_id":"work_66370164","summary":"The development of computer aided design (CAE) technology, especially casting simulation software (Magmasoft v5), can be utilized maximally as a tool to verify the design of castings that have been made to be able to meet the elements of QCD (quality, cost, delivery) and compete in the market. This study aims to obtain an optimal ESV housing casting design by reviewing and modifying the casting design in terms of both quality and economics. The process of design optimization with casting simulation is an important step in the design and development of casting products to improve casting yield and casting quality. The optimal design of castings is obtained by improving the design through pouring system using bottom pouring and optimizing the riser design. The results of this study obtained Design # 2 as a design choice of pouring system because it can improve the quality of casting products. Design # 2 optimized again into Design # 4 as the optimum design and able to increase the yield casting by 5.11% from the previous design (Design # 2). The result of techno economic analysis shows that by allocating 4% budget for design cost can contribute to decrease of production cost of foundry ESV housing up to 54,95%.","publication":"International Journal of Advanced Engineering Research and Science","publication_with_fallback":"International Journal of Advanced Engineering Research and Science","downloadable_attachments":[{"id":77588810,"asset_id":66370164,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/77588810/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/77588810/24_20IJAERS-APR-2018-14-Techno-libre.pdf?1640797046=\u0026response-content-disposition=attachment%3B+filename%3DTechno_Economic_Review_on_Casting_Design.pdf\u0026Expires=1739830156\u0026Signature=UhoySLsXLF-4D8a6qK4X9JhMoutp53bPHC8qNnOgj0MLJlPVLgVqZOl3OFboNQlZqboI2y~REG9n9cYojm2AqkUoS9u45-wogAg0XeZyU-Xk8~nP9vb4atCFpmmGYiBwJRY~ZiCXUo2sKrTqRGwJxhnAK7QwnssgUXn68rm4kRjlXFhDk26WjWH38NmHYhuuLvBEJEbaG64R1d9swXggkc5ZKe2-FuQGsQUz4My4moEL1SP9k0usZZWeAfOPOLdFOdaooP16gTQ9JMIYmjOOApmVhW2MQIWwwS6UvZ~GS3ykjmIjP94meQJJjLWnweDY6EnRaKYV5B0-3X8FF9OWDg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/77588810/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/77588810/mini_magick20211229-7173-156iplj.png?1640785256"}],"downloadable_attachments_with_full_thumbnails":[{"id":77588810,"asset_id":66370164,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/77588810/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/77588810/24_20IJAERS-APR-2018-14-Techno-libre.pdf?1640797046=\u0026response-content-disposition=attachment%3B+filename%3DTechno_Economic_Review_on_Casting_Design.pdf\u0026Expires=1739830156\u0026Signature=UhoySLsXLF-4D8a6qK4X9JhMoutp53bPHC8qNnOgj0MLJlPVLgVqZOl3OFboNQlZqboI2y~REG9n9cYojm2AqkUoS9u45-wogAg0XeZyU-Xk8~nP9vb4atCFpmmGYiBwJRY~ZiCXUo2sKrTqRGwJxhnAK7QwnssgUXn68rm4kRjlXFhDk26WjWH38NmHYhuuLvBEJEbaG64R1d9swXggkc5ZKe2-FuQGsQUz4My4moEL1SP9k0usZZWeAfOPOLdFOdaooP16gTQ9JMIYmjOOApmVhW2MQIWwwS6UvZ~GS3ykjmIjP94meQJJjLWnweDY6EnRaKYV5B0-3X8FF9OWDg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/77588810/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/77588810/mini_magick20211229-7173-156iplj.png?1640785256"}],"has_pdf":true,"has_fulltext":true,"page_count":5,"ordered_authors":[{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering","nofollow":true}],"publication_year":2018,"publication_year_with_fallback":2018,"paper_rank":null,"all_time_views":2,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_66370236" data-work_id="66370236" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/66370236/Square_Bar_Bending_Chasis_for_Indonesian_Rural_Transport_Vehicles_Static_Analisys_and_Testing_">Square Bar Bending Chasis for Indonesian Rural Transport Vehicles “Static Analisys & Testing”</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Chasis is an important part of the vehicle, because it will be to support of all the loads on it, ranging from engine, vehicle body and human or goods transported. In this paper we will describe the results of static analysis and static... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_66370236" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Chasis is an important part of the vehicle, because it will be to support of all the loads on it, ranging from engine, vehicle body and human or goods transported. In this paper we will describe the results of static analysis and static test of chassis of rural transport vehicles according to maximum load. Structure strength analysis is performed at 10 (ten) points along the chassis that are considered critical by using Ansys software which is followed by static test. Ansys analysis results show that the deformation behavior is linearly proportional to the load cause up to 2500N. For bending load, chasis deformated of 1.37 mm dengan a maximal voltage of 268.39 MPa. For torque load, chasis deformated of 5.045 mm, at two side. Result of static test, deformation behavior also linear proportional to load cause up to 2500N. for bending load, chasis deformated of 12 mm and for torque load, chasis deformated of 7.5 mm, at two side. Difference value deformation between ansys simulation and ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/66370236" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b50e5fe80592a9c71e66f25a83b50b02" rel="nofollow" data-download="{"attachment_id":77588773,"asset_id":66370236,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/77588773/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1041207" href="https://itb.academia.edu/aguskrisnowo">agus krisnowo</a><script data-card-contents-for-user="1041207" type="text/json">{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}</script></span></span></li><li class="js-paper-rank-work_66370236 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="66370236"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 66370236, container: ".js-paper-rank-work_66370236", }); });</script></li><li class="js-percentile-work_66370236 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 66370236; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_66370236"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_66370236 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="66370236"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 66370236; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=66370236]").text(description); $(".js-view-count-work_66370236").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_66370236").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_66370239" data-work_id="66370239" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/66370239/Design_dan_Analisis_Statik_Rangka_Chassis_Square_Bar_dengan_FEM">Design dan Analisis Statik Rangka Chassis Square Bar dengan FEM</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Telah dilakukan rancang bangun bending dies untuk pembuatan chassis kendaraan angkutan pedesaan. Chassis yang dihasilkan dengan metoda bending kinerjanya dibandingkan dengan chassis yang dibuat dengan metoda welding . Uji statis dilakukan... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_66370239" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Telah dilakukan rancang bangun bending dies untuk pembuatan chassis kendaraan angkutan pedesaan. Chassis yang dihasilkan dengan metoda bending kinerjanya dibandingkan dengan chassis yang dibuat dengan metoda welding . Uji statis dilakukan dengan beban 2.5 kN dengan deformasi maksimum 1,37 mm. Untuk uji statis, chassis bending memiliki karateristik deformasi mendekati linier sebanding dengan beban gaya, sedangkan chassis welding karakterisitik deformasinya mengalami titik kritis pada beban 3.3 kN. Pada uji puntir, chassis bending dan welding memiliki karakteristik deformasi linier, namun kinerja dari chassis bending lebih baik dibanding dengan chassis welding. Dari hasil analisa komputasi menunjukkan bahwa desain chassis bending aman terhadap beban yang diberikan.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/66370239" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1162e22afe699f12b81b20f70f431a6f" rel="nofollow" data-download="{"attachment_id":77588770,"asset_id":66370239,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/77588770/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1041207" href="https://itb.academia.edu/aguskrisnowo">agus krisnowo</a><script data-card-contents-for-user="1041207" type="text/json">{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}</script></span></span></li><li class="js-paper-rank-work_66370239 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="66370239"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 66370239, container: ".js-paper-rank-work_66370239", }); });</script></li><li class="js-percentile-work_66370239 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 66370239; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_66370239"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_66370239 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="66370239"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 66370239; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=66370239]").text(description); $(".js-view-count-work_66370239").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_66370239").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="66370239"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="498" rel="nofollow" href="https://www.academia.edu/Documents/in/Physics">Physics</a>, <script data-card-contents-for-ri="498" type="text/json">{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="783068" rel="nofollow" href="https://www.academia.edu/Documents/in/MESIN">MESIN</a><script data-card-contents-for-ri="783068" type="text/json">{"id":783068,"name":"MESIN","url":"https://www.academia.edu/Documents/in/MESIN","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=66370239]'), work: {"id":66370239,"title":"Design dan Analisis Statik Rangka Chassis Square Bar dengan FEM","created_at":"2021-12-29T05:36:57.745-08:00","owner_id":1041207,"url":"https://www.academia.edu/66370239/Design_dan_Analisis_Statik_Rangka_Chassis_Square_Bar_dengan_FEM","slug":"Design_dan_Analisis_Statik_Rangka_Chassis_Square_Bar_dengan_FEM","dom_id":"work_66370239","summary":"Telah dilakukan rancang bangun bending dies untuk pembuatan chassis kendaraan angkutan pedesaan. Chassis yang dihasilkan dengan metoda bending kinerjanya dibandingkan dengan chassis yang dibuat dengan metoda welding . Uji statis dilakukan dengan beban 2.5 kN dengan deformasi maksimum 1,37 mm. Untuk uji statis, chassis bending memiliki karateristik deformasi mendekati linier sebanding dengan beban gaya, sedangkan chassis welding karakterisitik deformasinya mengalami titik kritis pada beban 3.3 kN. Pada uji puntir, chassis bending dan welding memiliki karakteristik deformasi linier, namun kinerja dari chassis bending lebih baik dibanding dengan chassis welding. Dari hasil analisa komputasi menunjukkan bahwa desain chassis bending aman terhadap beban yang diberikan.","publication":null,"publication_with_fallback":"Mesin","downloadable_attachments":[{"id":77588770,"asset_id":66370239,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/77588770/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/77588770/3243-libre.pdf?1640797051=\u0026response-content-disposition=attachment%3B+filename%3DDesign_dan_Analisis_Statik_Rangka_Chassi.pdf\u0026Expires=1739559939\u0026Signature=ODanxvf8P60Jb8yR1VNQO1JyKmTJcEdcCNIuopwF5dQbi-T5BfkWHXAXItUWCvOWv891x300QZSNTjvp5C9rslMLKB7An-Dad5xr2ZzANRfdnFa~~8iIxwcpeq2ZIIDAWxjlEeUFQgYUJuFPP4KcbCyHjceiAjb~W89uyPoFzp6gEJJ7n7A8xFqIYZbAFn2K3zM3Kty0pzARQG9H0NcKoz6ErWG4oiAdFw9lPjgA0srqwPTClSA5iMTDwcr4LuxsOTEzu0hdFLPqR-5vgLTaCYmrt3cK~tsUIVCpIClJOuK-rv3JDeC~cmWs9dFtqXpq6BtT1WAlW031ZUjBmeepXA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/77588770/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/77588770/mini_magick20211229-7170-2n65pc.png?1640785239"}],"downloadable_attachments_with_full_thumbnails":[{"id":77588770,"asset_id":66370239,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/77588770/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/77588770/3243-libre.pdf?1640797051=\u0026response-content-disposition=attachment%3B+filename%3DDesign_dan_Analisis_Statik_Rangka_Chassi.pdf\u0026Expires=1739559939\u0026Signature=ODanxvf8P60Jb8yR1VNQO1JyKmTJcEdcCNIuopwF5dQbi-T5BfkWHXAXItUWCvOWv891x300QZSNTjvp5C9rslMLKB7An-Dad5xr2ZzANRfdnFa~~8iIxwcpeq2ZIIDAWxjlEeUFQgYUJuFPP4KcbCyHjceiAjb~W89uyPoFzp6gEJJ7n7A8xFqIYZbAFn2K3zM3Kty0pzARQG9H0NcKoz6ErWG4oiAdFw9lPjgA0srqwPTClSA5iMTDwcr4LuxsOTEzu0hdFLPqR-5vgLTaCYmrt3cK~tsUIVCpIClJOuK-rv3JDeC~cmWs9dFtqXpq6BtT1WAlW031ZUjBmeepXA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/77588770/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/77588770/mini_magick20211229-7170-2n65pc.png?1640785239"}],"has_pdf":true,"has_fulltext":true,"page_count":10,"ordered_authors":[{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics","nofollow":true},{"id":783068,"name":"MESIN","url":"https://www.academia.edu/Documents/in/MESIN","nofollow":true}],"publication_year":2017,"publication_year_with_fallback":2017,"paper_rank":null,"all_time_views":21,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_83694555" data-work_id="83694555" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/83694555/Analysis_of_BLDC_Electric_Motor_Shaft_Treatment_Model_Using_Numerical_Method">Analysis of BLDC Electric Motor Shaft Treatment Model Using Numerical Method</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This research studies the shaft strength of a BLDC electric motor. A Shaft is one of the components in a rotary engine and functions to transmit power. The design calculation is needed to determine the effect of the strength of the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_83694555" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This research studies the shaft strength of a BLDC electric motor. A Shaft is one of the components in a rotary engine and functions to transmit power. The design calculation is needed to determine the effect of the strength of the material being treated. The strength analysis of the shaft used FEM (Finite Element Method). The shaft is modeled on the manufacturing design and tested by numerical simulation with Ansys Mechanical 14.5-BRIN commercial license software. The static simulation used a structural statics module with static and dynamic load input. The research method comparing the results of FEM simulations with two different types of materials is determined. Based on the simulation parameters, the selected material types are JIS S45C tempered and AISI 1045 cold-drawn. The simulation results represent the maximum stress (von Mises) and total deformation. The deformation value of S45C tempered material is slightly higher than that of AISI 1045 cold drawn. However, both materia...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/83694555" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ea212da6f2220c0f89910e3a97cf824c" rel="nofollow" data-download="{"attachment_id":88955118,"asset_id":83694555,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/88955118/download_file?st=MTczOTgyNjU1Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1041207" href="https://itb.academia.edu/aguskrisnowo">agus krisnowo</a><script data-card-contents-for-user="1041207" type="text/json">{"id":1041207,"first_name":"agus","last_name":"krisnowo","domain_name":"itb","page_name":"aguskrisnowo","display_name":"agus krisnowo","profile_url":"https://itb.academia.edu/aguskrisnowo","photo":"https://0.academia-photos.com/1041207/19625040/19507488/s65_agus.krisnowo.jpeg"}</script></span></span></li><li class="js-paper-rank-work_83694555 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="83694555"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 83694555, container: ".js-paper-rank-work_83694555", }); });</script></li><li class="js-percentile-work_83694555 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83694555; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_83694555"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_83694555 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="83694555"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83694555; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83694555]").text(description); $(".js-view-count-work_83694555").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_83694555").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3606343" data-work_id="3606343" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/3606343/Penerapan_Model_Pembelajaran_Problem_Based_Learning_dengan_Pendekatan_Inkuiri_untuk_Meningkatkan_Keterampilan_Proses_Sains_dan_Penguasaan_Konsep_Elastisitas_pada_Siswa_SMA">Penerapan Model Pembelajaran Problem Based Learning dengan Pendekatan Inkuiri untuk Meningkatkan Keterampilan Proses Sains dan Penguasaan Konsep Elastisitas pada Siswa SMA</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Low mastery of physics concepts due to lack of process skills which it was trained in the learning process. The observation result that the failure to achieve mastery of concepts in physics due to some subject-oriented learning process in... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3606343" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Low mastery of physics concepts due to lack of process skills which it was trained in the learning process. The observation result that the failure to achieve mastery of concepts in physics due to some subject-oriented learning process in practice only a matter of course in learning cognitive aspects. Learning model problem based learning with inquiry approach is able to train and involve students' process skills to solve a problem through the stages of the scientific method. This study aims to measure the increase in the mastery of concepts and science process skills after application of the learning model are compared with the conventional model. The design used in this study is to pretest and posttest control group study with a sample of students grade XI IPA-6 and XI IPA-7 in high school one of Bandung, which is determined by purposeful sampling technique. The results showed that the significant influence the implementation of the learning model to increase mastery of the concept of elasticity in the experimental class with high category ( = 0.77) higher increase than the control class who were categorized ( = 0.50), the existence of significant influence implementation of the learning model of science process skills enhancement with high category ( = 0.87) higher increase than the control class increased with category ( = 0.59).</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3606343" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="024ca71f69525ff6b5f7aa5bca85fd24" rel="nofollow" data-download="{"attachment_id":31301179,"asset_id":3606343,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/31301179/download_file?st=MTczOTgyNjU1Nyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="670869" href="https://itb.academia.edu/ekacahya">Eka Cahya Prima</a><script data-card-contents-for-user="670869" type="text/json">{"id":670869,"first_name":"Eka","last_name":"Cahya Prima","domain_name":"itb","page_name":"ekacahya","display_name":"Eka Cahya Prima","profile_url":"https://itb.academia.edu/ekacahya","photo":"https://0.academia-photos.com/670869/735652/2069016/s65_eka.cahya_prima.jpg"}</script></span></span></li><li class="js-paper-rank-work_3606343 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3606343"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3606343, container: ".js-paper-rank-work_3606343", }); });</script></li><li class="js-percentile-work_3606343 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 3606343; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_3606343"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_3606343 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="3606343"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3606343; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3606343]").text(description); $(".js-view-count-work_3606343").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3606343").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74417368" data-work_id="74417368" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74417368/Arrythmia_Classification_of_Electrocardiogram_Recorded_Data_with_Random_Forest_Method">Arrythmia Classification of Electrocardiogram Recorded Data with Random Forest Method</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Arrythmia is a condition, that our heart beat rhythm change irregularly. The doctor do manual classification process to analyze and diagnose the heart beat rhythm from ECG record. We proposed Random Forest method as classification method,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74417368" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Arrythmia is a condition, that our heart beat rhythm change irregularly. The doctor do manual classification process to analyze and diagnose the heart beat rhythm from ECG record. We proposed Random Forest method as classification method, to solve the problem. To cut the preprocessing time, we use WFDB library. INCART arrythmia database is provided as our training and testing data to build the classification model. The feature use is QRS amplitude, QRS amplitude Forward, QRS amplitude Backward, RR interval, Heart Rate Variance (HRV) on the QRS point, backward and forward.We using Scikit Learn for build our classification model, and tested using Scikit Learn and Weka. To classify our object data, we using FOGD-based QRS detector, and to provide our object dataset, Bitalino machine are used. The result still under consideration and need to validate by physician or cardiologist.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74417368" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="466fa3c412406e3fb539448884f7b0ea" rel="nofollow" data-download="{"attachment_id":82578119,"asset_id":74417368,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82578119/download_file?st=MTczOTgyNjU1Nyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31491346" href="https://itb.academia.edu/DwiEstiKusumandari">Dwi Esti Kusumandari</a><script data-card-contents-for-user="31491346" type="text/json">{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74417368 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74417368"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74417368, container: ".js-paper-rank-work_74417368", }); 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The doctor do manual classification process to analyze and diagnose the heart beat rhythm from ECG record. We proposed Random Forest method as classification method, to solve the problem. To cut the preprocessing time, we use WFDB library. INCART arrythmia database is provided as our training and testing data to build the classification model. The feature use is QRS amplitude, QRS amplitude Forward, QRS amplitude Backward, RR interval, Heart Rate Variance (HRV) on the QRS point, backward and forward.We using Scikit Learn for build our classification model, and tested using Scikit Learn and Weka. To classify our object data, we using FOGD-based QRS detector, and to provide our object dataset, Bitalino machine are used. The result still under consideration and need to validate by physician or cardiologist.","publication":"Journal of Physics: Conference Series","publication_with_fallback":"Journal of Physics: Conference Series","downloadable_attachments":[{"id":82578119,"asset_id":74417368,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/82578119/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/82578119/pdf-libre.pdf?1648084328=\u0026response-content-disposition=attachment%3B+filename%3DArrythmia_Classification_of_Electrocardi.pdf\u0026Expires=1739830157\u0026Signature=LF9GAzb4I8eM5lmV-plOuoIbHuPJdQszRFt50VdPmFxg3kx95JNw-bb7EIT81CTawg1E-vMblOuEd2JXKvKkYjAH3mmia3C8JlofJ-CPyzB3lROV3jFf8C3Uz-TwrzE6mNkxPGtMvKK2a7bzIg9Td9PUjSRhTEr49eSS5QkxvBWUzuWWXj1FjbsR0F9EjKhyY8FT2sgko5aBpQfY7~GUZCbicM~lvCUOD4tLZzqkNh8RyeHPCGVLRiRz7G5NPt-F9v4uNT1~rK6b6QgzxCA3u0oFruExNLR5COiOkt5pRyHM8KJeDBv9DlctZQfYJtCUJITE7DYtEQVFa9LS1djhTQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/82578119/download_file?st=MTczOTgyNjU1Nyw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/82578119/mini_magick20220323-4390-s064yh.png?1648083892"}],"downloadable_attachments_with_full_thumbnails":[{"id":82578119,"asset_id":74417368,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/82578119/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/82578119/pdf-libre.pdf?1648084328=\u0026response-content-disposition=attachment%3B+filename%3DArrythmia_Classification_of_Electrocardi.pdf\u0026Expires=1739830157\u0026Signature=LF9GAzb4I8eM5lmV-plOuoIbHuPJdQszRFt50VdPmFxg3kx95JNw-bb7EIT81CTawg1E-vMblOuEd2JXKvKkYjAH3mmia3C8JlofJ-CPyzB3lROV3jFf8C3Uz-TwrzE6mNkxPGtMvKK2a7bzIg9Td9PUjSRhTEr49eSS5QkxvBWUzuWWXj1FjbsR0F9EjKhyY8FT2sgko5aBpQfY7~GUZCbicM~lvCUOD4tLZzqkNh8RyeHPCGVLRiRz7G5NPt-F9v4uNT1~rK6b6QgzxCA3u0oFruExNLR5COiOkt5pRyHM8KJeDBv9DlctZQfYJtCUJITE7DYtEQVFa9LS1djhTQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/82578119/download_file?st=MTczOTgyNjU1Nyw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/82578119/mini_magick20220323-4390-s064yh.png?1648083892"}],"has_pdf":true,"has_fulltext":true,"page_count":7,"ordered_authors":[{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering","nofollow":true},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences","nofollow":true}],"publication_year":null,"publication_year_with_fallback":null,"paper_rank":null,"all_time_views":4,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74417459" data-work_id="74417459" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74417459/A_Comparison_of_EEG_Processing_Methods_to_Improve_the_Performance_of_BCI">A Comparison of EEG Processing Methods to Improve the Performance of BCI</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Electroencephalogram (EEG) recordings provide an important means of brain-computer communication, but their classification accuracy is limited by unforeseeable signal variations due to artifacts or recognizer-subject feedback. In this... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74417459" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Electroencephalogram (EEG) recordings provide an important means of brain-computer communication, but their classification accuracy is limited by unforeseeable signal variations due to artifacts or recognizer-subject feedback. In this paper, we propose a comparison of processing method (i.e., NPCA, JADE, and SOBI) entailing time-series EEG signals. Finally, the promising results reported here (up to 94% average classification accuracy and 36.4% improvement of maximum average transfer rate) reflect the considerable potential of EEG for the continuous classification of mental states. </div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74417459" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="64c95904fff71b09d5d2071d25639210" rel="nofollow" data-download="{"attachment_id":82578207,"asset_id":74417459,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82578207/download_file?st=MTczOTgyNjU1OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31491346" href="https://itb.academia.edu/DwiEstiKusumandari">Dwi Esti Kusumandari</a><script data-card-contents-for-user="31491346" type="text/json">{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74417459 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74417459"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74417459, container: ".js-paper-rank-work_74417459", }); 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$(".js-view-count[data-work-id=74417459]").text(description); $(".js-view-count-work_74417459").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_74417459").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="74417459"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="689025" rel="nofollow" href="https://www.academia.edu/Documents/in/SONAR_Systems_and_Underwater_Signal_Processing">SONAR Systems and Underwater Signal Processing</a><script data-card-contents-for-ri="689025" type="text/json">{"id":689025,"name":"SONAR Systems and Underwater Signal Processing","url":"https://www.academia.edu/Documents/in/SONAR_Systems_and_Underwater_Signal_Processing","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=74417459]'), work: {"id":74417459,"title":"A Comparison of EEG Processing Methods to Improve the Performance of BCI","created_at":"2022-03-23T18:05:03.085-07:00","owner_id":31491346,"url":"https://www.academia.edu/74417459/A_Comparison_of_EEG_Processing_Methods_to_Improve_the_Performance_of_BCI","slug":"A_Comparison_of_EEG_Processing_Methods_to_Improve_the_Performance_of_BCI","dom_id":"work_74417459","summary":"Electroencephalogram (EEG) recordings provide an important means of brain-computer communication, but their classification accuracy is limited by unforeseeable signal variations due to artifacts or recognizer-subject feedback. In this paper, we propose a comparison of processing method (i.e., NPCA, JADE, and SOBI) entailing time-series EEG signals. Finally, the promising results reported here (up to 94% average classification accuracy and 36.4% improvement of maximum average transfer rate) reflect the considerable potential of EEG for the continuous classification of mental states. ","publication":"International Journal of Signal Processing Systems","publication_with_fallback":"International Journal of Signal Processing Systems","downloadable_attachments":[{"id":82578207,"asset_id":74417459,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/82578207/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/82578207/4894818a7c392055f2ff78df64600c05de66-libre.pdf?1648084331=\u0026response-content-disposition=attachment%3B+filename%3DA_Comparison_of_EEG_Processing_Methods_t.pdf\u0026Expires=1739830157\u0026Signature=QdAViGi7vgFBSVy3nzr4Beknxf~AwkzopIHtOHoRgXhy1Co-EdyJRVcAYJNmFropQiiLTEtbEQcxq-G1UswMc8sB~3BqMv0BzxSEmsn92TVegELC-GeY2d5t1lJlZRsJx0NfhQKUv5iKW~qvOhe~oDrTA967AKTYyg0a0ahGN1edHdSTQtUnxQMCpkj7wLHW2glUkeJUz1gBsIG6tCXLXDga53VZC2gcNLbKu4KvgGK~dltpXQ~WDeUMRvtcfS19SdOhGvJYMXQHS4ZxaUk-5r~g-jNAofJEQKOBY9j4Ux1xi7TaZ8wiEwDKlCmNZ3-zTcTIyx0UWc4ui9VkzAQQ7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/82578207/download_file?st=MTczOTgyNjU1OCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/82578207/mini_magick20220323-32001-19lza8w.png?1648084015"}],"downloadable_attachments_with_full_thumbnails":[{"id":82578207,"asset_id":74417459,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/82578207/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/82578207/4894818a7c392055f2ff78df64600c05de66-libre.pdf?1648084331=\u0026response-content-disposition=attachment%3B+filename%3DA_Comparison_of_EEG_Processing_Methods_t.pdf\u0026Expires=1739830158\u0026Signature=N1kCojnF5Z3vW8fuGCQLRWLDuTjd~3up9rR6FPwLACgUxhaEaoEwUvsvUpkCWQJKFYX0HiuXLSBGNKXjnyWGmfgt1kmqhAH~g3OCmYZ0sG2ahvVHAj2-bezMktNgbVpsWNDHuhi~3~rReNvE8CFd5HEOD~g7EpbtNoEC8FWc5KrXmVTRh0k0zekFBAllz75nYja1FimLDDMsI0M0Kc~YK9KtnK84TBnsY75j9yksDDaKxlmddpFrEi313K-aC3yy7vy2f0UTtO-zBJcHAeQia-~Nh5SeQoXBCS7Wd1RuJD2ujBhFAQuulcjPIQ~psH5xjLHdAbII-nMMsZcsMN1v0Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/82578207/download_file?st=MTczOTgyNjU1OCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/82578207/mini_magick20220323-32001-19lza8w.png?1648084015"}],"has_pdf":true,"has_fulltext":true,"page_count":5,"ordered_authors":[{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science","nofollow":true},{"id":689025,"name":"SONAR Systems and Underwater Signal Processing","url":"https://www.academia.edu/Documents/in/SONAR_Systems_and_Underwater_Signal_Processing","nofollow":true}],"publication_year":2013,"publication_year_with_fallback":2013,"paper_rank":null,"all_time_views":2,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74417461" data-work_id="74417461" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74417461/Detection_of_Strawberry_Plant_Disease_Based_on_Leaf_Spot_Using_Color_Segmentation">Detection of Strawberry Plant Disease Based on Leaf Spot Using Color Segmentation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Strawberry plant is a fruit plants that have a high enough value. Strawberry fruit contains high amounts of fiber, vitamin C, folic acid, potassium and antioxidants. Cultivating strawberries is an easy task because strawberry plants are... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74417461" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Strawberry plant is a fruit plants that have a high enough value. Strawberry fruit contains high amounts of fiber, vitamin C, folic acid, potassium and antioxidants. Cultivating strawberries is an easy task because strawberry plants are often affected by both micro-organisms, pests and bacteria. To reduce the spread of disease in strawberry plants, the initial introduction of strawberry disease will be carried out using digital image processing. Digital images of leaf are processed to determine the health status of the strawberry plant. The process carried out on digital images includes image improvement, color segmentation from RGB color space into HSV color space, regional segmentation to determine the area of deformed leaves and intact leaves. The image processing shows that 85% accuracy of detection is obtained.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74417461" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="71abfc44d1dbb6626c87d6064281a629" rel="nofollow" data-download="{"attachment_id":82578165,"asset_id":74417461,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82578165/download_file?st=MTczOTgyNjU1OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31491346" href="https://itb.academia.edu/DwiEstiKusumandari">Dwi Esti Kusumandari</a><script data-card-contents-for-user="31491346" type="text/json">{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74417461 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74417461"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74417461, container: ".js-paper-rank-work_74417461", }); 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Aktivitas tidur membantu tubuh untuk menyembuhkan sel-sel yang rusak dan meningkatkan sistem kekebalan tubuh. Tetapi banyak dari kita yang tidak mendapatkan kualitas tidur yang... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74417462" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstrak Tidur merupakan aktivitas yang penting bagi tubuh. Aktivitas tidur membantu tubuh untuk menyembuhkan sel-sel yang rusak dan meningkatkan sistem kekebalan tubuh. Tetapi banyak dari kita yang tidak mendapatkan kualitas tidur yang baik untuk menerima manfaat tersebut. Demi meningkatkan kualitas tidur, sebagian besar masyarakat percaya bahwa penggunaan aromaterapi dapat membuat tubuh lebih rileks dan membantu penggunanya tidur lebih lelap. Paper ini melakukan studi mengenai ada tidaknya pengaruh aromaterapi terhadap kualitas tidur dengan memanfaatkan sinyal biopotensial pada otak, yaitu electroencephalogram (Sinyal EEG). Sinyal EEG didapatkan dari proses akuisisi menggunakan Mitsar-EEG-202 dan Software WinEEG. Selanjutnya, sinyal EEG akan dibaca secara visual berdasarkan bentuk, frekuensi, amplitudo, dan lokasi. Proses pembacaan sinyal akan menghasilkan nilai latensi tidur, durasi fase tidur (NREM dan REM), dan WASO. Data-data tersebut akan diuji secara manual (menghitung efisie...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74417462" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6b422214f37fb790e34e5cb7adb5ced1" rel="nofollow" data-download="{"attachment_id":82578168,"asset_id":74417462,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82578168/download_file?st=MTczOTgyNjU1OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31491346" href="https://itb.academia.edu/DwiEstiKusumandari">Dwi Esti Kusumandari</a><script data-card-contents-for-user="31491346" type="text/json">{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74417462 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74417462"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74417462, container: ".js-paper-rank-work_74417462", }); });</script></li><li class="js-percentile-work_74417462 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74417462; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_74417462"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_74417462 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="74417462"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74417462; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74417462]").text(description); $(".js-view-count-work_74417462").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_74417462").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74417465" data-work_id="74417465" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74417465/Analisis_Pengaruh_Musik_Klasik_Dan_Musik_Alam_Terhadap_Kualitas_Tidur_Berdasarkan_Sinyal_Electroencephalogram">Analisis Pengaruh Musik Klasik Dan Musik Alam Terhadap Kualitas Tidur Berdasarkan Sinyal Electroencephalogram</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Tidur merupakan kebutuhan dasar bagi setiap individu. Kondisi seseorang bisa dipengaruhi oleh kualitas tidurnya. Menjaga kualitas tidur penting untuk dilakukan karena dapat membantu menurunkan stress, meningkatkan mood dan fokus. Sebagian... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74417465" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Tidur merupakan kebutuhan dasar bagi setiap individu. Kondisi seseorang bisa dipengaruhi oleh kualitas tidurnya. Menjaga kualitas tidur penting untuk dilakukan karena dapat membantu menurunkan stress, meningkatkan mood dan fokus. Sebagian besar masyarakat meyakini bahwa pemberian stimulus musik dapat menambah kenyamanan tidur. Rangsangan suara merupakan salah satu variabel yang dapat mempengaruhi kehadiran gelombang listrik di otak, serta dapat membantu seseorang untuk merasa lebih rileks. Penelitian ini mempelajari pengaruh musik klasik dan musik alam terhadap kualitas tidur dari sinyal electroencephalogram (EEG). Sinyal EEG adalah salah satu cara untuk dapat mengetahui kualitas tidur seseorang. Kualitas tidur dipelajari melalui sinyal EEG, dengan memberikan rangsangan musik yang secara bertahap kepada individu, berdasarkan total waktu di setiap tahapan tidur, sleep latency dan efisiensi tidur. Masukan sistem merupakan sinyal yang didapat dari perekaman sinyal menggunakan sensor Mi...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74417465" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="dbe215178ef05da1e0f55472d3d3af38" rel="nofollow" data-download="{"attachment_id":82578169,"asset_id":74417465,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82578169/download_file?st=MTczOTgyNjU1OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31491346" href="https://itb.academia.edu/DwiEstiKusumandari">Dwi Esti Kusumandari</a><script data-card-contents-for-user="31491346" type="text/json">{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74417465 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74417465"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74417465, container: ".js-paper-rank-work_74417465", }); });</script></li><li class="js-percentile-work_74417465 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74417465; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_74417465"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_74417465 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="74417465"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74417465; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74417465]").text(description); $(".js-view-count-work_74417465").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_74417465").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74417467" data-work_id="74417467" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74417467/Classification_of_ECG_signal_with_Support_Vector_Machine_Method_for_Arrhythmia_Detection">Classification of ECG signal with Support Vector Machine Method for Arrhythmia Detection</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">An electrocardiogram is a potential bioelectric record that occurs as a result of cardiac activity. QRS Detection with zero crossing calculation is one method that can precisely determine peak R of QRS wave as part of arrhythmia... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74417467" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">An electrocardiogram is a potential bioelectric record that occurs as a result of cardiac activity. QRS Detection with zero crossing calculation is one method that can precisely determine peak R of QRS wave as part of arrhythmia detection. In this paper, two experimental scheme (2 minutes duration with different activities: relaxed and, typing) were conducted. From the two experiments it were obtained: accuracy, sensitivity, and positive predictivity about 100% each for the first experiment and about 79%, 93%, 83% for the second experiment, respectively. Furthermore, the feature set of MIT-BIH arrhythmia using the support vector machine (SVM) method on the WEKA software is evaluated. By combining the available attributes on the WEKA algorithm, the result is constant since all classes of SVM goes to the normal class with average 88.49% accuracy.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74417467" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4d301ae2b8e8ff0b3087dddc25b7d946" rel="nofollow" data-download="{"attachment_id":82578174,"asset_id":74417467,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82578174/download_file?st=MTczOTgyNjU1OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31491346" href="https://itb.academia.edu/DwiEstiKusumandari">Dwi Esti Kusumandari</a><script data-card-contents-for-user="31491346" type="text/json">{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74417467 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74417467"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74417467, container: ".js-paper-rank-work_74417467", }); 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characteristic with music and aromatherapy stimuli</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The quality of human's sleep can be determined by reading the bio-potentials signals in the brain, commonly called as electroencephalograph (EEG). In order to detect this signal, we placed an EEG sensor at some points around the head. In... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74417473" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The quality of human's sleep can be determined by reading the bio-potentials signals in the brain, commonly called as electroencephalograph (EEG). In order to detect this signal, we placed an EEG sensor at some points around the head. In this research, we investigated the effect of Sundanese music and aromatherapy bio-composite from Myristica Fragrans on day sleep quality. We compared the EEG sleep characteristic with music and aromatherapy stimuli. The feature extraction uses wavelet transform. Finally, the experimental result shows that EEG signal frequency with music stimuli is higher than aromatherapy stimuli statistically.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74417473" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3dc423151f49592cf1fcebc5e85768be" rel="nofollow" data-download="{"attachment_id":82578178,"asset_id":74417473,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82578178/download_file?st=MTczOTgyNjU1OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31491346" href="https://itb.academia.edu/DwiEstiKusumandari">Dwi Esti Kusumandari</a><script data-card-contents-for-user="31491346" type="text/json">{"id":31491346,"first_name":"Dwi Esti","last_name":"Kusumandari","domain_name":"itb","page_name":"DwiEstiKusumandari","display_name":"Dwi Esti Kusumandari","profile_url":"https://itb.academia.edu/DwiEstiKusumandari","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74417473 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74417473"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74417473, container: ".js-paper-rank-work_74417473", }); 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