Indonesian Journal of Electrical Engineering and Computer Science
Vol 29, No 2: February 2023

Preliminary study on agarwood essential oil and its classification techniques using machine learning

Anis Hazirah 'Izzati Hasnu Al-Hadi (School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA Shah Alam, Malaysia)
Aqib Fawwaz Mohd Amidon (School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA Shah Alam, Malaysia)
Siti Mariatul Hazwa Mohd Huzir (School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA Johor Kampus Pasir Gudang, Johor, Malaysia.)
Nurlaila Ismail (School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA Shah Alam, Malaysia)
Zakiah Mohd Yusoff (School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA Johor Kampus Pasir Gudang, Johor, Malaysia.)
Saiful Nizam Tajuddin (Universiti Malaysia Pahang)
Mohd Nasir Taib (Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.)



Article Info

Publish Date
01 Feb 2023

Abstract

Using essential oils derived from trees for pharmaceutical purposes, incense, aromatherapy, and other areas has expanded its popularity on the international market. However, since human sensory evaluation is still the primary technique used to grade essential oils in Malaysia, the classification technique for determining their grade is still below standard. Nonetheless, prior studies established new approaches for classifying the grade of essential oils by studying their chemical compounds. Therefore, agarwood essential oil was selected for the suggested model due to the increasing demand and the high cost of the world's natural raw materials. The support vector machine (SVM) using one versus all (OVA) approach was selected as the classifier for agarwood essential oil. This study provides an overview of essential oils and their prior research techniques. In addition, a review of SVM is conducted to demonstrate that the technique is appropriate for future studies.

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