STUDI PENGGUNAAN UV-VIS SPECTROSCOPY UNTUK IDENTIFIKASI CAMPURAN KOPI LUWAK DENGAN KOPI ARABIKA

Authors

  • Cicih Sugianti Department of Agricultural and Biological Engineering
  • Novi Apratiwi
  • Diding Suhandy
  • Mareli Telaumbanua
  • Sri Waluyo
  • Meinilwita Yulia

DOI:

https://doi.org/10.23960/jtep-l.v5i3.%25p

Abstract

This study aims to identify the authentication of civet coffee using a Soft independent modeling of class analogy
(SIMCA) method and principal component analysis (PCA). The test carried out on the coffee powder measuring
0.297 millimeters (mesh 50). Comparison of blend that is samples 1- 50 each 1 g of pure civet coffee, samples
51- 60 each 0.9 g civet coffee and 0.1 g arabica coffee, samples 61-70 each 0.8 g civet coffee and 0.2 g arabica
coffee, samples 71-80 each 0.7 g civet coffee and 0.3 g arabica coffee, samples 81-90 each 0.6 g civet coffee and
0.4 g arabica coffee, samples 90-100 each 0.5 g civet coffee and 0.5 g arabica coffee. The classification results
show SIMCA and PCA methods are able to identify civet coffee mixture. PC 1 explains 75% the variance of data
and PC2 explains 17% the variance of data. Values obtained on SIMCA classification are specificity 76%,
sensitivity of 84% and accuracy of 80%, with a value error of 23%.


Keywords: Arabica coffee,civet coffee, PCA, SIMCA, UV-Vis spectroscopy.

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Published

2017-02-10

Issue

Vol. 5 No. 3 (2016)

Section

Articles

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