Suhandy, Diding and Yulia, Meinilwita and Ogawa, Yuichi and Kondo, Naoshi (2017) Diskriminasi Kopi Lanang Menggunakan UV-Visible Spectroscopy dan Metode SIMCA. Fakultas Teknologi Pertanian UGM, AGRITECH.
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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: | Other |
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| Subjects: | S Agriculture > S Agriculture (General) |
| Divisions: | Fakultas Pertanian (FP) > Prodi Teknik Pertanian |
| Depositing User: | Dr. Diding Suhandy |
| Date Deposited: | 10 May 2021 01:24 |
| Last Modified: | 10 May 2021 01:24 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/30091 |
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