Analisis Kandungan Minyak Babi Pada Minyak Kanola Melalui Klasifikasi Pola Hidung Elektronik (E-Nose) Berbasis Linear Diskriminan Analysis(LDA)

muthmainnah muthmainnah (Department of Physics, Science and Technology of Faculty, Maulana Malik Ibrahim Malang)
Imam Tazi (Department of Physics, Science and Technology of Faculty, Maulana Malik Ibrahim Malang)
Suyono Suyono (Department of Biology, Science and Technology of Faculty, Maulana Malik Ibrahim Malang)
Avin Ainur (School of Medicine, Faculty of Medicine and Health Science, Maulana Malik Ibrahim Malang)
Fajrul Falah (Department of Physics, Science and Technology of Faculty, Maulana Malik Ibrahim Malang)
Arum Sinda Santika (Department of Physics, Science and Technology of Faculty, Maulana Malik Ibrahim Malang)

Jurnal Fisika FLUX
Vol 17, No 1 (2020): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat

The classification of the aroma pattern of pork oil and canola oil on the chemometric-based electronic nose has been classified. The electronic nose used is a series of chemical sensors combined in parallel. Sensors are made of semiconductor material that can detect changes in gas in the air. Each sample measured by an electronic nose provides output in the form of different voltages on each sensor. The data processing method used is Linear Discriminant Analysis (LDA) which is able to classify based on patterns. The samples used were canola oil, pork oil and a mixture of pork oil and canola oil with a percentage of 50%: 50%. The results of the classification of electronic nose patterns with samples of pork oil and canola oil show that each sample is fairly well clustered with the value of the first disk function is 99.9% and the second discriminant function value is 0.1%.