Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation
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...
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38110/ http://umpir.ump.edu.my/id/eprint/38110/1/Stepwise%20regression%20of%20agarwood%20oil%20significant%20chemical.pdf |
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| author | Siti Mariatul Hazwa, Mohd Huzir Aqib Fawwaz, Mohd Amidon Anis Hazirah Izzati, Hasnu Al-Hadi Anis Hazirah Izzati Hasnu, Al-Hadi Nurlaila, Ismail Zakiah, Mohd Yusoff Saiful Nizam, Tajuddin Mohd Nasir, Taib |
| author_facet | Siti Mariatul Hazwa, Mohd Huzir Aqib Fawwaz, Mohd Amidon Anis Hazirah Izzati, Hasnu Al-Hadi Anis Hazirah Izzati Hasnu, Al-Hadi Nurlaila, Ismail Zakiah, Mohd Yusoff Saiful Nizam, Tajuddin Mohd Nasir, Taib |
| author_sort | Siti Mariatul Hazwa, Mohd Huzir |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:28:41Z |
| format | Article |
| id | ump-38110 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:28:41Z |
| publishDate | 2023 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-381102023-09-04T06:26:59Z http://umpir.ump.edu.my/id/eprint/38110/ Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation Siti Mariatul Hazwa, Mohd Huzir Aqib Fawwaz, Mohd Amidon Anis Hazirah Izzati, Hasnu Al-Hadi Anis Hazirah Izzati Hasnu, Al-Hadi Nurlaila, Ismail Zakiah, Mohd Yusoff Saiful Nizam, Tajuddin Mohd Nasir, Taib HD28 Management. Industrial Management Q Science (General) T Technology (General) 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. Institute of Advanced Engineering and Science 2023-02 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/38110/1/Stepwise%20regression%20of%20agarwood%20oil%20significant%20chemical.pdf 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) https://doi.org/10.11591/ijeecs.v29.i2.pp735-741 https://doi.org/10.11591/ijeecs.v29.i2.pp735-741 |
| spellingShingle | HD28 Management. Industrial Management Q Science (General) T Technology (General) Siti Mariatul Hazwa, Mohd Huzir Aqib Fawwaz, Mohd Amidon Anis Hazirah Izzati, Hasnu Al-Hadi Anis Hazirah Izzati Hasnu, Al-Hadi Nurlaila, Ismail Zakiah, Mohd Yusoff Saiful Nizam, Tajuddin Mohd Nasir, Taib Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation |
| title | Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation |
| title_full | Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation |
| title_fullStr | Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation |
| title_full_unstemmed | Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation |
| title_short | Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation |
| title_sort | stepwise regression of agarwood oil significant chemical compounds into four quality differentiation |
| topic | HD28 Management. Industrial Management Q Science (General) T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/38110/ http://umpir.ump.edu.my/id/eprint/38110/ http://umpir.ump.edu.my/id/eprint/38110/ http://umpir.ump.edu.my/id/eprint/38110/1/Stepwise%20regression%20of%20agarwood%20oil%20significant%20chemical.pdf |