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All Journal Indonesian Journal of Halal Research
Avin Ainur
School of Medicine, Faculty of Medicine and Health Science, UIN Maulana Malik Ibrahim Malang
Religion Biochemistry, Genetics & Molecular Biology Environmental Science Medicine & Pharmacology Other

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Principal Component Analysis (PCA) Method for Classification of Beef and Pork Aroma Based on Electronic Nose Imam Tazi; Nur Laila Isnaini; Mutmainnah Mutmainnah; Avin Ainur
Indonesian Journal of Halal Research (IJHAR) Vol 1, No 1 (2019): February
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v1i1.4155

Abstract

There are several testing processes for consuming meat products. Organoleptic evaluation is an evaluation based on color, texture, smell, and taste. This research aims to find out the response pattern of 10 gas sensor array contained in the electronic nose against the odor pattern of beef and pork base on a smell. The classification method used is using the Principal Component Analysis (PCA) method. This method is expected to simplify the test of differences in beef and pork based on the aroma. The meat used is standard beef and pork consumption that has been sold in supermarkets. Samples of beef and pork are then ground until smooth. After that, it is weighed until it reaches 1 ounce. The meat samples were tested using an electronic nose consisting of 10 gas sensors. The multivariate analysis method was used to classify the aroma of beef and pork. The results of the data processing showed that the aroma classification of beef and pork which was indexed by the electronic nose was perfect. Based on the PCA method, the proportion of PC1 is 93.4%, and PC2 is 4.9%. From the second cumulative number, the value of the first PC was obtained 98.3%. This value indicates that only with 2-dimensional data, can represent ten dimensions of data. The loading plot shows that the MQ-138 and MQ-3 sensors are the most powerful sensors in testing samples of beef and pork.
Co-Authors Imam Tazi Mutmainnah Mutmainnah Nur Laila Isnaini