The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2025.0160358
PDF

Improving Road Safety in Indonesia: A Clustering Analysis of Traffic Accidents Using K-Medoids

Author 1: Handrizal
Author 2: Hayatunnufus
Author 3: Maryo Christopher Davinci Nababan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 3, 2025.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Traffic accidents pose a significant public health and safety challenge in Indonesia, ranking fifth globally in terms of traffic fatality rates. This study aims to identify patterns in traffic accident data to inform effective mitigation strategies. Utilizing the K-Medoids algorithm, we clustered traffic accident data from the Indonesian Central Bureau of Statistics for the period 1992–2022. Prior to clustering, rigorous data preprocessing was conducted to ensure accuracy. The K-Medoids algorithm successfully partitioned the data into distinct clusters, revealing variations in accident patterns across different regions of Indonesia, including disparities in accident frequency and severity. This research provides valuable insights for policymakers and transportation authorities to develop targeted interventions and improve road safety in Indonesia. Additionally, this study successfully applied the K-Medoids algorithm to cluster traffic accident data in Indonesia using data from 2018 to 2022.

Keywords: Traffic accidents; K-Medoids; clustering; data mining

Handrizal , Hayatunnufus and Maryo Christopher Davinci Nababan, “Improving Road Safety in Indonesia: A Clustering Analysis of Traffic Accidents Using K-Medoids” International Journal of Advanced Computer Science and Applications(IJACSA), 16(3), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160358

@article{2025,
title = {Improving Road Safety in Indonesia: A Clustering Analysis of Traffic Accidents Using K-Medoids},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160358},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160358},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {3},
author = {Handrizal and Hayatunnufus and Maryo Christopher Davinci Nababan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org