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All Journal VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro
Moch Fachri
Department of Electrical Engineering, Sriwijaya State Polytechnic
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Robot Classifying of Gas using Support Vector Machine Method Moch Fachri; Nyayu Latifah Husni; Ekawati Prihatini
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 3, No 1 (2018): April 2018
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (698.626 KB) | DOI: 10.30870/volt.v3i1.2010

Abstract

Fires often happen in the environment of industrial chemical plant caused by harmful gases. To minimize the incident that can be triggered by the gas it takes a tool capable of classifying gases are in the environment industry. The purpose of this research is to know the success in classifying gas on a fire that was triggered by the dangerous gases. We offer solutions in design and build a mobile robot that can classify objects contain hazardous gases by using the method of pattern recognition, the age of the SVM is still relatively young. Nevertheless, the advantages of SVM compared to another method lies in its ability to find the best hyperplane that separates the two class. Based on the results of testing data can classify SVM managed in accordance with the class. The degree of accuracy achieved SVM in classifying reached 86.66 %.
Co-Authors Ekawati Prihatini Husni, Nyayu Latifah