E3S Web Conf.
Volume 73, 2018The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|Number of page(s)||4|
|Section||Health, Safety and Environment Information Systems|
|Published online||21 December 2018|
Clustering Analysis of Traffic Accident in Semarang City
Department of Industrial Engineering, Diponegoro University, Semarang - Indonesia
Traffic accidents are one of the global issues that require serious handling. Accidents occur in different places with different incidents, which makes it difficult to determine which areas have a high degree of traffic accidents. Information about areas prone to accidents is needed by the community and law enforcement. Such information can be taken into consideration for the supervision and anticipation action especially for the police. In this study made a cluster to analyze the areas prone to accidents in the city of Semarang. The method used is cluster analysis where the grouping to determine the vulnerability of an area. The result of the research stated that the level of traffic accident vulnerability is mostly happened in Semarang - Semarang regency passing through Semarang regency. In addition, the level of vulnerability in the city of Semarang occurred on weekdays. From the validation results that have been made, the suitability of the hazardous modeling area that has been formed is: Occurs more likely on weekdays (Monday, Thursday, Friday and Sunday); At an average Kilometer of 19.75-Direction B; During Afternoon and Evening; Small and Large Vehicle Types; Cloudy, Drizzle and Rain.
Key words: clustering analysis / traffic accident / data mining
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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