Avin Ainur
Jurusan Fisika Universitas Islam Negeri Maulana Malik Ibrahim Malang

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CHEMOMETRIC-BASED ELECTRONIC NOSE APPLICATION TO PORK OIL AND OLIVE OIL USING THE ODOR PATTERN CLASSIFICATIONS Tazi, Imam; Muthmainnah, Muthmainnah; Suyono, Suyono; Ainur, Avin; Falah, Fajrul; Santika, Arum Sinda
Jurnal Neutrino Vol 10, No 2 (2018): April
Publisher : Department of Physics, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (521.874 KB) | DOI: 10.18860/neu.v10i2.4951

Abstract

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%.
PERMASALAHAN GENDER DALAM KASUS HUMAN IMMUNODEFICIENCY VIRUS - ACQUIRED IMMUNODEFICIENCY SYNDROME (HIV-AIDS) DI INDONESIA Ainur, Avin
EGALITA EGALITA (Vol 6, No 1
Publisher : Pusat Studi Gender UIN Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1329.021 KB) | DOI: 10.18860/egalita.v0i0.2119

Abstract

HIV-AIDS epidemic is a global crisis phenomenon and the hardes challenges for social development, particularly for underdevelopment countries. In general, people with HIV-AIDS are adults who are at the productive age and almost half are women. The National HIV-AIDS Prevention Commission stated that the number of housewives infected by HIV continues to increase significantly every year. Conversely, the numberof HIV infected people from commercial sex workers decreased. This is due to HIV transmission from their husband or intimate partners who have risky behavior. This condition concern an increase in the number of cases of HIV transmission from mother to child. HIV-AIDS problems are expected immediately handled and focused on the prevention of HIV-AIDS on housewives. An attempt to strengthen human rights program on women’s reproduction and improve women’s bargaining power to resist high risk sexual relations must be implemented sustainably.HIV-AIDS merupakan fenomena krisis global dan tantangan yang berat bagi pembangunan dan kemajuan social, terutama bagi negara-negara miskin. Pada umumnya, penderita HIV-AIDS adalah orang dewasa yang berada dalam usia produktif dan hampir separuhnya adalah wanita. KomisiPenanggulangan AIDS Nasional (KPAN) menyatakan bahwa jumlah ibu rumah tangga yang terinfeksi HIV di Indonesia terus meningkat secara signifikan setiap tahunnya, sebaliknya jumlah pekerja seks komersial yang terinfeksi HIV terus menurun. Hal tersebut disebabkan penularan HIV dari suami atau pasangan intim yang memiliki perilaku beresiko. Kondisi ini dikhawatirkan terjadi peningkatan jumlah kasus penularan dari ib ke anak. Permasalahan HIV diharapkan dapat segera ditangani dengan baik dan difokuskan pada pencegahan HIV-AIDS pada ibu rumah tangga. Seharusnya terus dilakukan upaya memperkuat program-program hak asasi reproduksi perempuan dan meningkatkan kekuatan menawar wanita untuk menolak hubungan seksual beresiko tinggi.
Principal Component Analysis (PCA) Method for Classification of Beef and Pork Aroma Based on Electronic Nose Tazi, Imam; Isnaini, Nur Laila; Mutmainnah, Mutmainnah; Ainur, Avin
Indonesian Journal of Halal Research 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.