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Traffic accidents are one of the problems that often occur in every Province in Indonesia. It is very difficult to determine an area that has a level of vulnerability to traffic accidents, because traffic accidents can happen anytime and anywhere. To overcome this problem, prevention and treatment are needed quickly. In this research it will be created a system to determine accident prone areas in the Province of North Sumatra. The data used to determine accident prone areas are data on accident victims in North Sumatra Province for the last 10 years. The method used to determine accident prone areas are K-Medoids. In the K-Medoids method, cluster members are measured based on a comparison of the total cost. The results of the cluster grouping will be visualized in the form of the table with the Microsoft Visual Studio 2008 application. From this research, there are 28 Regencies / Cities in North Sumatra Province with frequent accident cases over the last 10 years. From 28 Regencies / Cities, it was found that cluster 1 consisted of 102 members in the very vulnerable category, cluster 2 with 57 members in the vulnerable category, and cluster 3 with 110 members in the rarely happening category.
Kata Kunci : Cluster, K-Medoids, Traffic Accidents, Microsoft Visual Studio 2008
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