Suhandy, Diding and Supriyanti, Eny and Yulia, Meinilwita and Waluyo, Sri (2018) PENGGUNAAN TEKNOLOGI UV-Vis SPECTROSCOPY UNTUK MEMBEDAKAN JENIS KOPI BUBUK ARABIKA GAYO WINE DAN KOPI BUBUK ARABIKA GAYO BIASA. Jurnal Teknik Pertanian Lampung, 7 (3). pp. 123-132. ISSN 2302-559X

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Abstract

One of the specialty coffee of Indonesian is wine Arabica Gayo coffee which is a variety of selection result developed by Indonesian farmers. This research aims to develope and evaluate model of discrimination to identify and classify of ground roasted Arabica wine Gayo coffee and ground roasted Arabica normal Gayo coffee. The research was conducted on the ground roasted coffee with particle size of 0,297 millimeters (mesh 50). Each spectrum of aqueus samples was measured twice treatment to each sample using UV-Vis spectroscopy Genesys 10s in wavelength range of 190-1100 nm. Data were processed using principal component analysis (PCA) to see clustering all data. After that, for discrimination model was built using soft independent modeling of class analogy (SIMCA) method for original and pretreatment spectra. The best classification result was obtained method of Multiplicative Scatter Correction (MSC) and Moving Average 9 segmen which can explains the values of various data with value PC1 97% and PC2 3%. Data classification obtained the values of accuracy(AC) 100%, specificity(SP) 100%, and sensitivity(S) 100% with a value error (FP) of 0%. Based on these results on all tests, the SIMCA model built can identify and classify prediction coffee samples into corresponding class with accepted result.

Item Type:	Article
Subjects:	S Agriculture > S Agriculture (General)
Divisions:	Fakultas Pertanian (FP) > Prodi Teknik Pertanian
Depositing User:	Dr. Diding Suhandy
Date Deposited:	23 May 2019 07:13
Last Modified:	23 May 2019 07:13
URI:	http://repository.lppm.unila.ac.id/id/eprint/13100

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