Suhandy, Diding (2018) Luwak Coffee Classification Using UV-Vis Spectroscopy Data: Comparison of Linear Discriminant Analysis and Support Vector Machine Methods. Aceh International Journal of Science and Technology (AIJST), 7 (2). pp. 115-121. ISSN 2088-9860
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Abstract
UV-Vis spectroscopy has been used as a promising method for coffee quality evaluation including in authentication of several high-economic coffee types. In this paper we have compared the abilities of linear discriminant analysis (LDA) and support vector machines classification (SVMC) methods for luwak coffee classification. UV-Vis spectral data of 50 samples of pure luwak coffee and 50 samples of pure non-luwak coffee were acquired using a UV-Vis spectrometer in transmittance mode. The results show that UV-Vis spectroscopy combined with LDA and SVMC was effective method to classify luwak and non-luwak coffee samples. The classification result was acceptable and yielded 100% classification accuracy for both LDA and SVMC methods. However, due to the simplicity and volume of required calculation, in this present study LDA method is superior to SVMC method.
| Item Type: | Article |
|---|---|
| Subjects: | S Agriculture > S Agriculture (General) |
| Divisions: | Fakultas Pertanian (FP) > Prodi Teknik Pertanian |
| Depositing User: | Dr. Diding Suhandy |
| Date Deposited: | 15 Nov 2018 08:08 |
| Last Modified: | 15 Nov 2018 08:08 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/10012 |
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