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All Journal Semantik Sistemasi: Jurnal Sistem Informasi Jurnal Ilmiah Matrik Jusikom : Jurnal Sistem Komputer Musirawas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Journal of Information Systems and Informatics Journal of Information Technology Ampera Jurnal Nasional Ilmu Komputer Journal of Software Engineering Ampera Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Pengabdian kepada Masyarakat Bina Darma Jurnal Informatika: Jurnal Pengembangan IT
Andri, Andri
Universitas Bina Darma
Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Journal of Software Engineering Ampera

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Implementasi Data Mining Untuk Menentukan Pola Penyebab Kecelakaan Lalu Lintas Di Wilayah Kota Palembang Menggunakan Algoritma FP-Growth Fathan Pangestu; Andri Andri
Journal of Software Engineering Ampera Vol. 1 No. 2 (2020): Journal of Software Engineering Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalsea.v1i2.48

Abstract

Palembang City is one of the big cities in Indonesia. Along with the increasing population and the increasing number of motorized vehicles, it will certainly have an impact on the increasing number of traffic accidents in the city of Palembang. In this study, the writer will determine the pattern of traffic accidents by using the fp-growth algorithm and using various variables. The variables that will be used consist of weather, time of incident, road geometry, profession, level of injury. This research is expected to be a reference for the police to be able to take anticipatory measures in order to reduce the number of traffic accidents in the Palembang City area. The fp-growth algorithm can be applied properly to determine the pattern of the causes of traffic accidents in the city of Palembang by using 2 minimum support of 40% and 50% and 2 minimum confidence of 70% and 90%. Based on the resulting rules, there are rules with the highest confidence value of 98% with these rules: When an accident occurs with a Side-Side accident type, the accident occurs in sunny weather conditions
Co-Authors Adji Dwi Alfarizi Ahmad Hafidz Ahmad Haidar Mirza Ahmad Sukanda Amru Setio Wibowo Atika Kurnia Ayu Puspita Indah Sari Baibul Tujni, Baibul Dinda Novita Edi Supratman Edo Tachi Naldy Fathan Pangestu Fatoni Fatoni Febriyanti Panjaitan Hardiyansyah Hardiyansyah Haris Oktariansyah Jenny Veronika Mawarni Mawarni Muhammad Azzam Izzuddin Muhammad Iqbal Ramdhani Muhammad Nasir Nia Adila Ria Anggraini Rizqi Prasetyo Susan Dian Purnamasari Suyanto, Suyanto Tri Sutrisno Yaya Asohi