Siti Mariatul Hazwa, Mohd Huzir and Aqib Fawwaz, Mohd Amidon and Anis Hazirah Izzati, Hasnu Al-Hadi and Anis Hazirah Izzati Hasnu, Al-Hadi and Nurlaila, Ismail and Zakiah, Mohd Yusoff and Saiful Nizam, Tajuddin and Mohd Nasir, Taib (2023) Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation. Indonesian Journal of Electrical Engineering and Computer Science, 29 (2). pp. 735-741. ISSN 2502-4752. (Published)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Agarwood oil; Grade classification; Intelligent model; Significant compounds; Stepwise regression |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management Q Science > Q Science (General) T Technology > T Technology (General) |
| Faculty/Division: | Centre of Excellence: Bio-Aromatic Research Center of Excellence Faculty of Industrial Sciences And Technology Institute of Postgraduate Studies |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 04 Sep 2023 06:26 |
| Last Modified: | 04 Sep 2023 06:26 |
| URI: | http://umpir.ump.edu.my/id/eprint/38110 |
| Download Statistic: | View Download Statistics |
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