STUDI PENGGUNAAN UV-VIS SPECTROSCOPY UNTUK IDENTIFIKASI CAMPURAN KOPI LUWAK DENGAN KOPI ARABIKA
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
and0.4 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%.
Penulis: Cicih Sugianti, Novi
Apratiwi, Diding Suhandy, Mareli Telaumbanua, Sri Waluyo, Meinilwita Yulia
Kode Jurnal: jppertaniandd160863
