Suhandy, Diding and Yulia, Meinilwita and Ogawa, Yuichi and Kondo, Naoshi (2017) Diskriminasi Kopi Lanang Menggunakan UV-Visible Spectroscopy dan Metode SIMCA. AGRITECH, 37 (4). pp. 471-476. ISSN 0216-0455

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Abstract

In this research, the use of ultraviolet-visible (UV-VIS) spectral information of coffee solution in the range of 190-700 nm to classify the type of coffee into lanang and regular. The spectral data of lanang and regular coffee were acquired using UV-Vis/NIR spectrometer (JASCO Corp., Tokyo, Japan). The multivariate data analysis method, SIMCA, was used to construct the classification models which worked with the individual PCA model for each class of coffee samples. SIMCA provided the classification of the samples into one or more classes. The performance of the developed SIMCA model for each class was then evaluated in terms of its sensitivity, specificity, and accuracy. The SIMCA classification method showed that it was possible to discriminate and separate the samples into two different classes (lanang and regular coffee) satisfactory value of accuracy, sensitivity and specificity. This result could open a development of a rapid and reliable method based on UV-Vis spectra for the authentication of lanang coffee in the near future.

Item Type: Article
Subjects: S Agriculture > S Agriculture (General)
Divisions: Fakultas Pertanian (FP) > Prodi Teknik Pertanian
Depositing User: Dr. Diding Suhandy
Date Deposited: 03 Aug 2018 07:37
Last Modified: 03 Aug 2018 07:37
URI: http://repository.lppm.unila.ac.id/id/eprint/8609

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