TELKOMNIKA Telecommunication, Computing, Electronics and Control
Performance of electronic nose based on gas sensor-partition column for synthetic flavor classification

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Performance of electronic nose based on gas sensor-partition column for synthetic flavor classification

Classification, Electronic nose, Gas sensor, Partition column, Synthetic flavor

Electronic nose (e-nose) has been developed and implemented in a wide
area, included in food industries. This study was conducted to investigate the
performance of an e-nose that utilizes a packed gas chromatography column
and a gas sensor for classification of synthetic flavor products. There were six aroma variants of synthetic flavor evaluated, namely durian, jackfruit, ambonese banana, melon, orange and lemon. The e-nose was designed with four main parts, namely aroma provider, column and detector room, microcontroller, and data acquisition system. The device was operated automatically at a stable temperature of 60 °C. Collected data consisted of ten data of each sample was preprocessed by baseline equalization and normalization, extracted its distinctive feature and then were analyzed through pattern recognition analysis. There were two kinds of methods used to analyzed the patterns of the data, namely a fuzzy c-means clustering and an artificial neural network (ANN). With the fuzzy c-means clustering, the result was six data clusters with an unbalanced number of members, indicated that this analysis could not classify samples properly. Meanwhile, analysis with the ANN could classify properly the samples with the level of accuracy of 70%.

Radi, Joko Purwo Leksono Yuroto Putro, Muhammad Danu Adhityamurti, Barokah, Luthfi Fadillah Zamzami, Andi Setiawan

DOI: 10.12928/TELKOMNIKA.v20i5.22358

Universitas Ahmad Dahlan

October 2022

Sri Wahyuni

ISSN: 1693-6930

http://journal.uad.ac.id/index.php/TELKOMNIKA

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TELKOMNIKA Telecommunication, Computing, Electronics and Control