Implementasi Support Vector Machine Pada Alat Monitoring Kecelakaan Dengan Intelligent Transport System
- Syifa Amira Zahrah Politeknik Negeri Sriwijaya, Palembang, Indonesia
-
Ade Silvia Handayani
*
Politeknik Negeri Sriwijaya, Palembang,
Indonesia
- Ali Nurdin Politeknik Negeri Sriwijaya, Palembang, Indonesia (*) Corresponding Author
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.
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References
“KLASIFIKASI KEJADIAN KECELAKAAN LALU LINTAS BERDASARKAN LUKA KORBAN DENGAN METODE SUPPORT VECTOR MACHINE POLYNOMIAL SMOTE,” 2018.
“PADA BAGIAN KEUANGAN NATIONAL TRAFFIC MANAGEMENT CENTER (NTMC) KORLANTAS POLRI JAKARTA.”
“Berdasarkan catatan data Kementerian Perhubungan yang di dapat dari Karlantas Polri.” .
“ANALISIS FAKTOR HUMAN ERROR, KONDISI KENDARAAN DAN KARAKTERISTIK LALU LINTAS TERHADAP KECELAKAAN LALU LINTAS DI RUAS JALAN PANTURA KOTA TEGAL.”
D. I. Kabupaten, S. Bagian, and M. Tukan, “STUDI PENERAPAN INTELLIGENT TRANSPORTATION SYSTEM ( ITS ),” vol. 04, no. 1, 2010.
I. H. Witten and M. A. Hall, “Practical Machine Learning Third Edition.”
M. Wahyudi, “Klasifikasi Algoritma Naïve Bayes dan SVM Berbasis PSO Dalam Memprediksi Spam Email Pada Hotline-Sapto,” vol. 22, no. 1, pp. 61–67, 2020.
H. M. Putri and A. S. Handayani, “Intelligent Transportation System dalam Sistem Monitoring Kecelakaan Lalu Lintas,” vol. 4, no. 1, pp. 978–979, 2018.
“ANCANG BANGUN MODELSISTEM REAL MONITORING LALU LINTASDENGAN MENGGUNAKAN RASPBERRY Pi.”
“Simulasi Sistem Monitoring dan Notifikasi Kecelakaan Pada Kendaraan Remote Control.”
“ANALISIS KLASIFIKASI MASA STUDI MAHASISWA PRODI STATISTIKA UNDIP dengan METODE SUPPORT VECTOR MACHINE (SVM) dan ID3 (ITERATIVE DICHOTOMISER 3).”
A. S. Nugroho, “Pengantar Support Vector Machine ∗,” pp. 1–6, 2007.
A. Sumarudin, A. Suheryadi, A. Puspaningrum, E. Prasetyo, and Y. N. Azis, “Implementation Assistance Driver System for Public Transportation Based on Embedded System Impelementasi Assistance Driver System untuk Transportasi Publik Berbasis Sistem Embedded,” vol. 20, no. 2, pp. 64–69, 2020.
A. S. Handayani, S. Soim, C. RS, S. A. Zahra, and N. L. Husni, “Design of Application an Intelligent Transportation System for Monitoring Traffic Accidents,” Proc. 5th FIRST T1 T2 2021 Int. Conf. (FIRST-T1-T2 2021), vol. 9, pp. 363–368, 2022, doi: 10.2991/ahe.k.220205.064.
R. Suyuti, D. Tetap, J. Teknik, S. Universitas, and M. Jakarta, “IMPLEMENTASI ”INTELLIGENT TRANSPORTATION SYSTEM (ITS)” UNTUK MENGATASI KEMACETAN LALU LINTAS DI DKI JAKARTA,” pp. 13–21.
“APLIKASI NAVIGASI BERBASIS PERANGKAT BERGERAK DENGAN MENGGUNAKAN PLATFORM WIKITUDE UNTUK STUDI KASUS LINGKUNGAN ITS.”
“IMPLEMENTASI SENSOR IMU MPU6050 BERBASIS SERIAL I2C PADA SELF-BALANCING ROBOT.”
“Implementasi Data Mining Menggunakan Model SVM untuk Prediksi Kepuasan Pengunjung Taman Tabebuya.”
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Copyright (c) 2022 Syifa Amira Zahrah, Ade Silvia Handayani, Ali Nurdin
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