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Journal : International Journal of Electrical and Computer Engineering

Intelligent Sensing Using Metal Oxide Semiconductor Based-on Support Vector Machine for Odor Classification Nyayu Latifah Husni; Siti Nurmaini; Irsyadi Yani; Ade Silvia
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1148.853 KB) | DOI: 10.11591/ijece.v8i6.pp4133-4147

Abstract

Classifying odor in real experiment presents some challenges, especially the uncertainty of the odor concentration and dispersion that can lead to a difficulty in obtaining an accurate datasets. In this study, to enhance the accuracy, datasets arrangement based on MOS sensors parameters using SVM approach for odor classification is proposed. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability when applied to the various sources at different range. Three sources were used in experimental test, namely: ethanol, methanol, and acetone. The gas sensors characteristics are analyzed in open sampling method to see the sensors' performance in real situation. These performances are considered as the base of choosing the position in collecting the datasets. The sensors in dynamic experiment have average of precision of 93.8-97.0%, the accuracy 93.3-96.7%, and the recall 93.3-96.7%. This values indicates that the collected datasets can support the SVM in improving the intelligent sensing when conducting odor classification work.
Co-Authors Abdul Rasyid Ade Silvia Ade Silvia Ade Silvia Handayani Agung Mataram Ahmad Irham Jambak Akbar Teguh Prakoso Ali Amran Ali Syahbana Alwine Zayanti, Des Amir Arifin Amir Arifin Amrifan Saladin Mohruni Aneka Firdaus Ansyori Ansyori Ansyori Ansyori Ansyori Yani Anthony Costa Astuti - Astuti Astuti Bambang Suprihatin Barlin Barlin Barlin Barlin Barlin Oemar Chandra Irsan Chandra Irsan Chandra Irsan Dendy Adanta Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Des Alwine Zayantii Dewi Puspita Sari Dewi Puspitasari Dewi Puspitasari Dewi, Novi R. Dewi, Tresna Doloksaribu, Mikael Donny Sahala Tua Sitorus Eka Utami, Nurhabibah Paramitha Ekawati Prihatini Ellyanie Ellyanie Eric Rahman Fadhian Fadhillah Siregar Fajri Vidian Falah Yuridho Firdaus MS, Firdaus M S Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Gunawan Gunawan Gunawan Gunawan Gunawan Gunawan Gustini, Gustini Hasan Basri helena astari Helmy Alian Heni Fitriani Hoiri, Sajiril Husni, Nyayu Latifah Husni, Nyayu Latifah Indah Meiliana Sari Irmawan Irmawan Ismail Thamrin Ivfransyah Jeremy Firdaus Latif Jhosua Arie S Jhosua Arie Swandi Kaprawi Kaprawi Kresnawati, Endang S. Lugantha Perkasa M. A. Ade Saputra M.A. Ade Saputra Manik, Dion Daud MARWANI Marwani Marwani, Marwani Mega Tiara Putri MS, Firdaus Muflika Amini Muhammad Dahlan Muhammad Yanis Ning Eliyati Nova Yuliasari Novi Rustiana Dewi Nukman Nukman Nukman Nyayu Latifah Husni Nyayu Latifah Husni, Nyayu Latifah Paramita Eka Utami, Nurhabibah Paroluan, Brian Einstein Qomarul Hadi Rahmayani, Mau’izatil Resnawati Rossi Passarella Saputra, M. A. Ade Saputra, M.A. Ade Setyo Cahyono, Endro Simarmata, Johanes Siti Nurmaini Situmeang, Abetnego Sri Kresnawati, Endang Sulong, Abu Bakar Taufik Arief Teguh Prakoso, Akbar Tresna Dewi Yuli Andriani Yulia Resti Zayanti, Des A. Zulkarnain Ali Leman Zulkarnain Zulkarnain Zulkarnain Zulkarnain