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All Journal Building of Informatics, Technology and Science BEES: Bulletin of Electrical and Electronics Engineering
Ali Nurdin
Politeknik Negeri Sriwijaya, Palembang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Journal : Building of Informatics, Technology and Science

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Implementasi Support Vector Machine Pada Alat Monitoring Kecelakaan Dengan Intelligent Transport System Syifa Amira Zahrah; Ade Silvia Handayani; Ali Nurdin
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.1974

Abstract

The implementation of intelligent transportation systems will produce a large amount of data. The resulting data is critical in the design and implementation of ITS in the transportation system. This study discusses the performance of the Support Vector Machine algorithm on an accident monitoring tool by utilizing the Intelligent Transportation System that works in real-time using an Android-based application. This experiment simulates accident monitoring with a multisensor accident monitoring device. Multisensor technology consists of MPU 6050 sensor, sound sensor, vibration sensor, and camera. In an experiment, the measured variables are location, slope, accuracy, and time of the traffic accident monitoring system. The results of monitoring traffic accidents in testing using the Support Vector Machine algorithm can work well by classifying data based on the type of accident.
Co-Authors Ade Silvia Handayani Aden Jaya Kusuma Lindawati Lindawati Syifa Amira Zahrah