Agarwood oil quality classification using one versus all strategies in multiclass on SVM model / Aqib Fawwaz Mohd Amidon … [et al.]

Mohd Amidon, Aqib Fawwaz and Mahabob, Noratikah Zawani and Ismail, Nurlaila and Mohd Yusoff, Zakiah and Taib, Mohd Nasir (2021) Agarwood oil quality classification using one versus all strategies in multiclass on SVM model / Aqib Fawwaz Mohd Amidon … [et al.]. In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2021). UiTM Cawangan Melaka Kampus Jasin, pp. 84-86.

Abstract

Agarwood oil is one of the most beneficial oil to the world community with a high demand. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading model of agarwood oil was implemented. With that, it is very important to come out with a standard of quality classification model for agarwood oil grading’s. By continuing developing this standard, specific algorithm function has been used to make sure the ability of this model is totally not in doubt. Support vector machine (SVM) has been chosen as a main model and for the specific function algorithm was multiclass function. Then, in the function, the one versus all (OVA) strategies has been used. The analysis work has involving the data taken from the previous researcher that consists of four classes of agarwood oil quality’s samples which are low, medium low, medium high and high quality. So, the output was the classification of quality between low, medium low, medium high or high quality while the input was the abundances (%) of compounds. The desk research has been conducted by using MATLAB software version r2020a for the simulation platform. The result showed that the model has pass the performance criteria standard. Based on that, the intelligent model has shown excellent performance with 100% of accuracy by producing 0.00 of error rate. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Mohd Amidon, Aqib Fawwaz
UNSPECIFIED
Mahabob, Noratikah Zawani
UNSPECIFIED
Ismail, Nurlaila
UNSPECIFIED
Mohd Yusoff, Zakiah
zakiah9018@uitm.edu.my
Taib, Mohd Nasir
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Patron
Md Badarudin, Ismadi
UNSPECIFIED
Patron
Tahar @ Yusoff, Nor Fadilah
UNSPECIFIED
Advisor
Jono, Mohd Nor Hajar Hasrol
UNSPECIFIED
Advisor
Abdul Rahid @ Abdul Rashid, Nurul Najwa
UNSPECIFIED
Advisor
Sharip, Anis Afiqah
UNSPECIFIED
Subjects: T Technology > TP Chemical technology > Chemical engineering > Special processes and operations > Extraction
T Technology > TP Chemical technology > Biotechnology > Processes, operations, and techniques
T Technology > TP Chemical technology > Oils, fats, and waxes
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Event Title: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2021)
Event Dates: 15 February 2021 - 31 March 2021
Page Range: pp. 84-86
Keywords: Agarwood oil; Multiclass; One versus all; Support vector machine
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/50611
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