A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.]
Agarwood oil, in general, has become a highly advertised and in great demand commodity on the global market. The use of agarwood oil in the manufacturing of fragrances, medicine, and religious rites and festivities makes it even more important. Agarwood oil, on the other hand, never has a systematic...
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2022
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Online Access: | https://ir.uitm.edu.my/id/eprint/69561/1/69561.pdf https://ir.uitm.edu.my/id/eprint/69561/ https://jamcsiix.wixsite.com/2022 |
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my.uitm.ir.695612022-11-17T08:46:01Z https://ir.uitm.edu.my/id/eprint/69561/ A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] Mohd Amidon, Aqib Fawwaz Mohd Huzir, Siti Mariatul Hazwa Mohd Yusoff, Zakiah Ismail, Nurlaila Taib, Mohd Nasir Technological innovations Adsorption Oils, fats, and waxes Agarwood oil, in general, has become a highly advertised and in great demand commodity on the global market. The use of agarwood oil in the manufacturing of fragrances, medicine, and religious rites and festivities makes it even more important. Agarwood oil, on the other hand, never has a systematic grading system. As a result, each producing country must develop its own method for distinguishing between high-quality and low-quality agarwood oil. According to previous research, the current classification method relies solely on expert people in the search for agarwood in the forest. Their services are used to sniff and evaluate each agarwood to determine if it is of high quality or not. Unfortunately, this method has many shortcomings. Among other things, it will cause the health of those involved to be affected, require a long period of time to assess one by one, and certainly contribute to high operating costs. As a result, a new grading system based on artificial algorithms, namely K-Nearest Neighbor algorithms, was established. The value of the percentage of the quantity of significant chemical components contained in the agarwood oil samples is used to classify the agarwood oil samples using this method. Therefore, our algorithm has correctly assessed five distinct agarwood oil grades, according to the performance measure. Certainly, this research can contribute to future research, particularly in the field of data analysis involving agarwood oil grading development. Faculty of Computer and Mathematical Sciences 2022 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/69561/1/69561.pdf A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.]. (2022) In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2022). Faculty of Computer and Mathematical Sciences, Kampus Jasin, Melaka, pp. 13-15. ISBN 9789671533703 (Submitted) https://jamcsiix.wixsite.com/2022 |
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Technological innovations Adsorption Oils, fats, and waxes Mohd Amidon, Aqib Fawwaz Mohd Huzir, Siti Mariatul Hazwa Mohd Yusoff, Zakiah Ismail, Nurlaila Taib, Mohd Nasir A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] |
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Agarwood oil, in general, has become a highly advertised and in great demand commodity on the global market. The use of agarwood oil in the manufacturing of fragrances, medicine, and religious rites and festivities makes it even more important. Agarwood oil, on the other hand, never has a systematic grading system. As a result, each producing country must develop its own method for distinguishing between high-quality and low-quality agarwood oil. According to previous research, the current classification method relies solely on expert people in the search for agarwood in the forest. Their services are used to sniff and evaluate each agarwood to determine if it is of high quality or not. Unfortunately, this method has many shortcomings. Among other things, it will cause the health of those involved to be affected, require a long period of time to assess one by one, and certainly contribute to high operating costs. As a result, a new grading system based on artificial algorithms, namely K-Nearest Neighbor algorithms, was established. The value of the percentage of the quantity of significant chemical components contained in the agarwood oil samples is used to classify the agarwood oil samples using this method. Therefore, our algorithm has correctly assessed five distinct agarwood oil grades, according to the performance measure. Certainly, this research can contribute to future research, particularly in the field of data analysis involving agarwood oil grading development. |
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Book Section |
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Mohd Amidon, Aqib Fawwaz Mohd Huzir, Siti Mariatul Hazwa Mohd Yusoff, Zakiah Ismail, Nurlaila Taib, Mohd Nasir |
author_facet |
Mohd Amidon, Aqib Fawwaz Mohd Huzir, Siti Mariatul Hazwa Mohd Yusoff, Zakiah Ismail, Nurlaila Taib, Mohd Nasir |
author_sort |
Mohd Amidon, Aqib Fawwaz |
title |
A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] |
title_short |
A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] |
title_full |
A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] |
title_fullStr |
A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] |
title_full_unstemmed |
A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] |
title_sort |
novelty classification model for varied agarwood oil quality using the k-nearest neighbor algorithm / aqib fawwaz mohd amidon … [et al.] |
publisher |
Faculty of Computer and Mathematical Sciences |
publishDate |
2022 |
url |
https://ir.uitm.edu.my/id/eprint/69561/1/69561.pdf https://ir.uitm.edu.my/id/eprint/69561/ https://jamcsiix.wixsite.com/2022 |
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1751539956073889792 |
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13.15806 |