CHEMOMETRIC-BASED ELECTRONIC NOSE APPLICATION TO PORK OIL AND OLIVE OIL USING THE ODOR PATTERN CLASSIFICATIONS
| Main Authors: | Tazi, Imam, Muthmainnah, Muthmainnah, Suyono, Suyono, Ainur, Avin, Falah, Fajrul, Santika, Arum Sinda |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Department of Physics, Maulana Malik Ibrahim State Islamic University of Malang
, 2018
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| Subjects: | |
| Online Access: |
http://ejournal.uin-malang.ac.id/index.php/NEUTRINO/article/view/4951 http://ejournal.uin-malang.ac.id/index.php/NEUTRINO/article/view/4951/6506 |
Daftar Isi:
- A chemometric-based electronic nose has designed for analyzing pork oil and olive oil using the odor pattern classifications. The electronic nose (e-nose) built from a combination of several chemical sensors derived from a semiconductor. The data retrieval was done by vaporizing the sample, then being captured by the sensor and identified by the electronic nose (e-nose). The output data from the electronic nose is the voltage released by each sensor. The analyzed samples were 100% olive oil, 100% pork oil and a combination of olive oil and pork oil with a ratio of 50%: 50%. The result of pattern classification using linear discriminant analysis (LDA) method shows that each sample is clustered well with the percentage of first discriminant function value is 87,9% and second discriminant function is 12,1%.