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window.loswp.shouldShowBulkDownload = true; window.loswp.showSignupCaptcha = false window.loswp.willEdgeCache = false; window.loswp.work = {"work":{"id":25651827,"created_at":"2016-05-27T03:42:11.613-07:00","from_world_paper_id":153561661,"updated_at":"2024-11-11T16:03:56.631-08:00","_data":{"grobid_abstract":"Agarwood oil has been widely used especially in fragrance, incense, prayers and traditional medicinal. In the Middle East, the market demand for Agarwood oil is very high. Agarwood oil is traded based on high grade and low grade, corresponding to expensive price and cheap price, respectively. Currently, the grading of Agarwood oil, specifically Aquilaria Malaccensis, depends on its physical appearance such as color and odour. This paper presents the analysis of Aquilaria Malaccensis based on GC-MS data. The work involves of statistical technique such as boxplot and PCA. The analysis part was done on 64 chemical compounds on 7 samples of agarwood oil obtained by Forest Research Institute Malaysia (FRIM). It was done via MATLAB ver. R2010a. The result shows that the distribution of chemical compounds in Agarwood oil is not normal and five componets is identified from 64variables Agarwood oil samples, gathered by boxplot and PCA, individually.","publication_date":"2012,,","publication_name":"2012 IEEE 8th International Colloquium on Signal Processing and its Applications","grobid_abstract_attachment_id":"45989472"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Analysis of Agarwood oil (Aquilaria Malaccensis) based on GC-MS data","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [49312142]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "full_page_mobile_sutd_modal"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 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Applications</p></div><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":45989472,"attachmentType":"pdf","workUrl":"https://www.academia.edu/25651827/Analysis_of_Agarwood_oil_Aquilaria_Malaccensis_based_on_GC_MS_data"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":45989472,"attachmentType":"pdf","workUrl":"https://www.academia.edu/25651827/Analysis_of_Agarwood_oil_Aquilaria_Malaccensis_based_on_GC_MS_data"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div></div><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-doc_id="45989472" data-landing_url="https://www.academia.edu/25651827/Analysis_of_Agarwood_oil_Aquilaria_Malaccensis_based_on_GC_MS_data" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="ds-top-related-works--grid-container"><div class="ds-related-content--container ds-top-related-works--container"><h2 class="ds-related-content--heading">Related papers</h2><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="0" data-entity-id="73286187" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/73286187/Analysis_of_different_quality_agarwood_oil_aquilaria_malaccensis_and_sensory_study">Analysis of different quality agarwood oil (aquilaria malaccensis) and sensory study</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="5716094" href="https://ump.academia.edu/CheMohdAizal">Che Mohd Aizal Che Mohd</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Journal of Telecommunication, Electronic and Computer Engineering, 2018</p><p class="ds-related-work--abstract ds2-5-body-sm">Agarwood is increasing in demand in the global market due to the presence of resinous wood that is widely used as an ingredient in perfumes, aromatherapy and traditional medicines. The popularity comes with concern on its unique smell (woody) and quality adulteration. This paper presents the response between chemical compositions in agarwood oil, reflected on the reading of fabricated e-nose which is used for classification. Different quality of samples which were identified as pure and mixture agarwood oil were analyzed by using gas chromatography for chemical profiling. Reveals that common major compounds like 4-phenyl-2-butanone, β-agarofuran, 10- epi-γ-eudesmol and agarospirol were found in the pure sample. An electronic nose (E-nose) that consists of a sensor array is a device used to substitute human olfactory system. The sample was exposed to the sensor array for odor profile recognition. The collected dataset was normalized and analyzed using box plot for feature extraction....</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Analysis of different quality agarwood oil (aquilaria malaccensis) and sensory study","attachmentId":81864992,"attachmentType":"pdf","work_url":"https://www.academia.edu/73286187/Analysis_of_different_quality_agarwood_oil_aquilaria_malaccensis_and_sensory_study","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/73286187/Analysis_of_different_quality_agarwood_oil_aquilaria_malaccensis_and_sensory_study"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="120846003" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/120846003/Statistical_analysis_for_chemical_compound_based_on_several_species_of_Aquilaria_essential_oil">Statistical analysis for chemical compound based on several species of Aquilaria essential oil</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="163474776" href="https://independent.academia.edu/JournalIJECE">International Journal of Electrical and Computer Engineering (IJECE)</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Electrical and Computer Engineering (IJECE), 2024</p><p class="ds-related-work--abstract ds2-5-body-sm">The paper examines the characterization of Aquilaria essential oils from different species, namely Aquilaria malaccensis, Aquilaria beccariana, Aquilaria crassna, and Aquilaria subintegra, renowned for agarwood production in Malaysia. Gas chromatography-mass spectrometry (GC-MS) and gas chromatography-flame ionization detector (GC-FID) were employed for extracting essential oil data, facilitating compound identification. Subsequently, a preliminary analysis focused on classifying significant chemical compounds in the samples. The study then utilized boxplot pre-processing for visualizing and interpreting data distribution. The statistical analyses were performed using MATLAB software version R2021b, considering two key parameters which are the peak area (%) of significant chemical compounds and the classification of Aquilaria species (A. beccariana, A. malaccensis, A. crassna, and A. subintegra) based on their chemical composition. The results, presented through boxplot analyses, demonstrated a clear representation of the parameters and their distribution in the data. This method not only confirmed the potential of boxplot analysis in statistical evaluation of significant compounds in Aquilaria essential oil but also suggested its applicability for further classification work.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Statistical analysis for chemical compound based on several species of Aquilaria essential oil","attachmentId":115868271,"attachmentType":"pdf","work_url":"https://www.academia.edu/120846003/Statistical_analysis_for_chemical_compound_based_on_several_species_of_Aquilaria_essential_oil","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/120846003/Statistical_analysis_for_chemical_compound_based_on_several_species_of_Aquilaria_essential_oil"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="104256463" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/104256463/A_high_performance_thin_layer_chromatography_HPTLC_method_for_the_quality_assessment_of_agarwood_i_Aquilaria_malaccensis_i_oil_from_Northeast_India">A high performance thin layer chromatography (HPTLC) method for the quality assessment of agarwood (<i>Aquilaria malaccensis</i>) oil from Northeast India</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="118268011" href="https://independent.academia.edu/PranjitKumarBora">Pranjit Kumar Bora</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Natural Product Research, 2022</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A high performance thin layer chromatography (HPTLC) method for the quality assessment of agarwood (\u003ci\u003eAquilaria malaccensis\u003c/i\u003e) oil from Northeast India","attachmentId":104034926,"attachmentType":"pdf","work_url":"https://www.academia.edu/104256463/A_high_performance_thin_layer_chromatography_HPTLC_method_for_the_quality_assessment_of_agarwood_i_Aquilaria_malaccensis_i_oil_from_Northeast_India","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/104256463/A_high_performance_thin_layer_chromatography_HPTLC_method_for_the_quality_assessment_of_agarwood_i_Aquilaria_malaccensis_i_oil_from_Northeast_India"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="125299349" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/125299349/Statistical_analysis_of_agarwood_oil_chemical_compound_exists_in_four_species_of_Aquilaria">Statistical analysis of agarwood oil chemical compound exists in four species of Aquilaria</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="331176536" href="https://independent.academia.edu/AmirHussairiZaidi">Amir Hussairi Zaidi</a><span>, </span><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="201854234" href="https://independent.academia.edu/ijaasjournal">IJAAS Journal</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Advances in Applied Sciences (IJAAS), 2024</p><p class="ds-related-work--abstract ds2-5-body-sm">Aquilaria, renowned for its agarwood, and valued for its aromatic wood and rich resin, finds use in cosmetics, fragrances, incense, and medicine. Identifying the agarwood-producing species among 21 species of Aquilaria is challenging. This study analyzes chemical compounds in agarwood oil from 4 Aquilaria species: Aquilaria beccariana, Aquilaria crassna, Aquilaria malaccensis, and Aquilaria subintegra using gas chromatography-flame ionization detector (GC-FID). Statistical analysis explores compound abundance, employing methods like mean and Z-score tests. This analysis summarizes those 14 compounds that are consistently present based on zero and non-zero observations, and the Z-score test highlights five chemical compounds, with three compounds appearing in both analyses. These compounds can serve as a reference for future studies on Aquilaria species and agarwood oil, enhancing classification efforts.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Statistical analysis of agarwood oil chemical compound exists in four species of Aquilaria","attachmentId":119368600,"attachmentType":"pdf","work_url":"https://www.academia.edu/125299349/Statistical_analysis_of_agarwood_oil_chemical_compound_exists_in_four_species_of_Aquilaria","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/125299349/Statistical_analysis_of_agarwood_oil_chemical_compound_exists_in_four_species_of_Aquilaria"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="121254385" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/121254385/Pre_processing_technique_of_Aquilaria_species_from_Malaysia_for_four_different_qualities">Pre-processing technique of Aquilaria species from Malaysia for four different qualities</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="171721299" href="https://independent.academia.edu/beeiiaes">beei iaes</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Bulletin of Electrical Engineering and Informatics </p><p class="ds-related-work--abstract ds2-5-body-sm">The paper interprets data distribution by using boxplot pre-processing in classify the quality of Agarwood oil for eleven chemical substances into four different qualities. The varieties usage of Agarwood oil makes it considered as an expensive and valuable product on the essential oil market. Perfumes, fragrances, incense, aromatherapy, and traditional medicine are the most popular Agarwood oil applications. However, the classification of Agarwood oil grades does not yet have standard grading method. This because it has been graded manually into different qualities by using human sensory evaluation. Boxplot analysis involving eleven chemical subtances that will be focusing in this study by concerned the quality for low, medium low, medium high and high. ɤ-eudesmol, ar-curcumene, β-dihydro agarofuran, ϒcadinene, α-agarofuran, allo aromadendrene epoxide, valerianol, α-guaiene, 10-epi-ɤ-eudesmol, β-agarofuran, and dihydrocollumellarin compounds are the selected significant compounds that represent the input for boxplot. Agarwood oil consist 660 data samples from low, medium low, medium high, and high quality. The result in this study showed that the four selected significant compounds (ɤ-eudesmol, 10-epi-ɤ-eudesmol, β-agarofuran, and dihydrocollumellarin) are important as a marker for Agarwood oil quality classification. The identification of chemical substances on high quality done as reference for future research studies.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Pre-processing technique of Aquilaria species from Malaysia for four different qualities","attachmentId":116181851,"attachmentType":"pdf","work_url":"https://www.academia.edu/121254385/Pre_processing_technique_of_Aquilaria_species_from_Malaysia_for_four_different_qualities","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/121254385/Pre_processing_technique_of_Aquilaria_species_from_Malaysia_for_four_different_qualities"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="104674573" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/104674573/Determination_of_Substantial_Chemical_Compounds_of_Agarwood_Oil_for_Quality_Grading">Determination of Substantial Chemical Compounds of Agarwood Oil for Quality Grading</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="242484947" href="https://independent.academia.edu/HaronHushnie">Hushnie Haron</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Journal of Electrical &amp; Electronic Systems Research</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Determination of Substantial Chemical Compounds of Agarwood Oil for Quality Grading","attachmentId":104340139,"attachmentType":"pdf","work_url":"https://www.academia.edu/104674573/Determination_of_Substantial_Chemical_Compounds_of_Agarwood_Oil_for_Quality_Grading","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/104674573/Determination_of_Substantial_Chemical_Compounds_of_Agarwood_Oil_for_Quality_Grading"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="82652795" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique">Analysis of High Quality Agar wood Oil Chemical Compounds By Means Of SPME/GC-MS and Z-Score Technique</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="44246" href="https://ump.academia.edu/SaifulNizamTajuddin">Saiful Nizam Tajuddin</a></div><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Analysis of High Quality Agar wood Oil Chemical Compounds By Means Of SPME/GC-MS and Z-Score Technique","attachmentId":88289226,"attachmentType":"pdf","work_url":"https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/82652795/Analysis_of_High_Quality_Agar_wood_Oil_Chemical_Compounds_By_Means_Of_SPME_GC_MS_and_Z_Score_Technique"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="92659317" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/92659317/Boxplot_analysis_of_4_grade_agarwood_essential_oil_for_various_grades">Boxplot analysis of 4 grade agarwood essential oil for various grades</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="250501650" href="https://independent.academia.edu/AnisHazirahIzzatiHAlHadi">Anis Hazirah ‘Izzati H. Al-Hadi</a><span>, </span><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="184756992" href="https://independent.academia.edu/ijeecsteam">Indonesian Journal of Electrical Engineering and Computer Science</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Indonesian Journal of Electrical Engineering and Computer Science, 2022</p><p class="ds-related-work--abstract ds2-5-body-sm">Agarwood essential oil is used in most perfumery ingredients, as an incense and in traditional medical preparations. Agarwood essential oil, called "Black Gold," is extremely valued to the global community due to its numerous benefits. As of now, there is still no standard technique of grading different grades of agarwood essential oil. The current grading technique is inefficient since the agarwood essential oil is graded by using human sensory panel. Different people might have different perspective on grading the agarwood essential oil hence, the technique is not practical to adapt it globally. Due to the current technology, numerous intelligent techniques for verifying the grades of agarwood essential oil have been proposed and implemented. The study has conducted a statistical analysis on 4 grade agarwood essential oil using boxplot. Boxplot analysis summarizes the abundances for each chemical compounds from four different grades of agarwood essential oil with a high grade as a reference. This study shows the analysis of boxplot investigated 10-epi-δ-eudesmol, α-agarofuran, βagarofuran, δ-eudesmol and dihydrocollumellarin as most important chemical compounds in high grade of agarwood essential oil. The chemical compounds that have been identified in high grade of agarwood essential oil can be a reference for future research studies.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Boxplot analysis of 4 grade agarwood essential oil for various grades","attachmentId":95609368,"attachmentType":"pdf","work_url":"https://www.academia.edu/92659317/Boxplot_analysis_of_4_grade_agarwood_essential_oil_for_various_grades","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/92659317/Boxplot_analysis_of_4_grade_agarwood_essential_oil_for_various_grades"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="122116776" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/122116776/Analysis_of_Chemical_Compounds_of_Agarwood_Oil_from_Different_Species_by_Gas_Chromatography_Mass_Spectrometry_GCMS_">Analysis of Chemical Compounds of Agarwood Oil from Different Species by Gas Chromatography Mass Spectrometry (GCMS)</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="30747372" href="https://independent.academia.edu/PhirdaousAbbas">Phirdaous Abbas</a></div><p class="ds-related-work--metadata ds2-5-body-xs">IIUM Engineering Journal, 2014</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Analysis of Chemical Compounds of Agarwood Oil from Different Species by Gas Chromatography Mass Spectrometry (GCMS)","attachmentId":116845138,"attachmentType":"pdf","work_url":"https://www.academia.edu/122116776/Analysis_of_Chemical_Compounds_of_Agarwood_Oil_from_Different_Species_by_Gas_Chromatography_Mass_Spectrometry_GCMS_","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/122116776/Analysis_of_Chemical_Compounds_of_Agarwood_Oil_from_Different_Species_by_Gas_Chromatography_Mass_Spectrometry_GCMS_"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="104683265" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/104683265/Stepwise_regression_of_agarwood_oil_significant_chemical_compounds_into_four_quality_differentiation">Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="184756992" href="https://independent.academia.edu/ijeecsteam">Indonesian Journal of Electrical Engineering and Computer Science</a></div><p class="ds-related-work--metadata ds2-5-body-xs">The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 2023</p><p class="ds-related-work--abstract ds2-5-body-sm">This paper gives precise summary on the application of stepwise regression model based upon the pre-process analysis of boxplot for four chemical compounds into four different qualities of agarwood oil. In the global market, agarwood oil is acknowledged as a pricey and valuable nature product owing to its benefits. Unfortunately, there is no standard grading method for agarwood oil grade classification. Intelligent model in grading the quality of agarwood oil is crucial as one of the efforts to classify the agarwood quality. The main model chosen in this study is stepwise regression by concerned specific parameter which is the value of correlation coefficient, R2. To achieve this goal, four out of eleven significant compounds of agarwood oil that consist of 660 data samples from low, medium low, medium high and high quality are representing the input. The independent variables are X1, X2, X3 and X4 which refer to the ɤ-Eudesmol, 10-epi-ɤ-eudesmol, β-agarofuran and dihydrocollumellarin compounds, respectively. MATLAB software version r2015a has been chosen as the simulation platform for this research work. The result showed that the stepwise regression model has a correlation coefficient of 0.756 and p-value less than 0.05 significance level which successfully passed the performance criteria toward regression value.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation","attachmentId":104346419,"attachmentType":"pdf","work_url":"https://www.academia.edu/104683265/Stepwise_regression_of_agarwood_oil_significant_chemical_compounds_into_four_quality_differentiation","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/104683265/Stepwise_regression_of_agarwood_oil_significant_chemical_compounds_into_four_quality_differentiation"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":45989472,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":45989472,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_45989472" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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