This Author published in this journals
All Journal Ganec Swara
Siti Maulida Handayani
Jurusan Teknik Sipil Fakultas Teknik Universitas Mataram

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

IMPLEMENTASI K-MEANS CLUSTERING BERBASIS GIS DALAM MENGIDENTIFIKASI DAERAH RAWAN KECELAKAAN LALU LINTAS DI KOTA MATARAM: Implementation of GIS-Based K-Means Clustering for Identifying Traffic Accident-Prone Areas in Mataram City Rohani Rohani; Hasyim Hasyim; Siti Maulida Handayani
Ganec Swara Vol. 20 No. 2 (2026): Juni 2026
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/gara.v20i2.642

Abstract

The growth in the number of vehicles in Mataram City has led to increased traffic congestion and a higher risk of accidents each year. Data from the Mataram Police Department recorded 439 traffic accident cases in 2023. This study aims to identify and map accident-prone areas using the K-Means Clustering method integrated with a Geographic Information System (GIS). The analysis was conducted using a clustering approach to group areas based on their level of accident risk, taking into account the weighted number of incidents and casualties. The quality of the clustering results was evaluated using the Silhouette Coefficient to measure cluster accuracy. The data used in this study are secondary traffic accident data from the 2021–2024 period obtained from the Mataram Police Department, focusing on arterial and collector roads. The results show that several road segments are consistently categorized as accident-prone, namely Jalan Lingkar Selatan, Jalan Ahmad Yani, Jalan Jenderal Sudirman, Jalan Sandubaya, Jalan Saleh Sungkar, and Jalan Sriwijaya. The K-Means Clustering method produced three categories of areas: “Safe,” “Moderately Prone,” and “Prone,” with Silhouette Coefficient values ranging from 0.7 to 1.0, indicating a strong cluster structure. GIS-based visualization provides a clear depiction of the distribution of accident-prone areas and can serve as a basis for the government in formulating traffic safety policies in Mataram City