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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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

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