ACADSTAFF UGM

CREATION
Title : #Development of electronic nose with highly stable sample heater to classify quality levels of local black tea
Author :

Dr. Danang Lelono, S.Si., M.T. (1) Prof. Dr. Eng. Kuwat Triyana, M.Si. (2) Prof. Dra. Sri Hartati, M.Sc., Ph.D. (3) Prof. Dr. Ir. Jazi Eko Istiyanto, M.Sc. (4)

Date : 2017
Keyword : black tea; electronic nose; gas sensor array; LDA; PCA; PID; quality level black tea; electronic nose; gas sensor array; LDA; PCA; PID; quality level
Abstract : condition, only 88.9% of cross-validated grouped are correctly classified. On the other hand, for the black tea sample with unstable heating, the performance of the e-nose has been improved. In this case, 92.5% of crossvalidated grouped are correctly classified. Moreover, for the black tea sample with stable heating treatment, all samples are separated where 97.8% of cross-validated grouped are correctly classified. The results indicated that the e-nose with the highly stable heater was capable of detecting the quality of black tea
Group of Knowledge : Ilmu Komputer
Original Language : English
Level : Internasional
Status :
Published
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