ANALYSIS OF TRAFFIC ACCIDENT PROBLEMS USING CLUSTER ANALYSIS IN THE CITY OF BOGOR BASED ON WEBGIS

Authors

  • Lulu Lutfi Latifah Universitas Ibn Khaldun Bogor
  • Sahid Agustian Hudjimartsu
  • Iksal Yanuarsyah

DOI:

https://doi.org/10.33197/jitter.vol8.iss2.2022.760

Keywords:

GIS, Traffic accident, K-Means Cluster, Rstudio, WebGIS

Abstract

Traffic accidents are a problem that often occurs in various regions in Indonesia, especially in the city of Bogor. Based on traffic accident data obtained from the Traffic Laka Unit, the Bogor City Police experienced fluctuating movements. Utilization of accident data is also still not optimal. This makes it difficult to identify areas that have a level of vulnerability. To overcome this problem, an analysis is made to determine areas prone to traffic accidents by utilizing Geographic Information Systems for location distribution research. The method used to analyze accident-prone areas is using the K-Means Cluster Algorithm. The results of the research conducted stated that the highest level of vulnerability occurred from 2014-2019 in the Tanah Sareal sub-district on the K.H. Sholeh Iskandar. In addition, several incidents of accidents occurred on vehicle roads, crossroads, and in and out of lanes. The result of this research is a map of traffic accident prone areas which is displayed in the form of a WebGIS.

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Published

2022-04-15

How to Cite

[1]
L. L. Latifah, S. A. Hudjimartsu, and I. Yanuarsyah, “ANALYSIS OF TRAFFIC ACCIDENT PROBLEMS USING CLUSTER ANALYSIS IN THE CITY OF BOGOR BASED ON WEBGIS”, JITTER, vol. 8, no. 2, Apr. 2022.

Issue

Vol. 8 No. 2 (2022)

Section

Articles

License

Copyright (c) 2022 Lulu Lutfi Latifah, Sahid Agustian Hudjimartsu, Iksal Yanuarsyah

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