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All Journal Jurnal Ilmiah Wahana Pendidikan
Valdi Irawan
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Penerapan Algoritma K-Mean Clustering Pada Kecelakaan Lalu Lintas Berdasarkan Kabupaten/Kota Di Provinsi Jawa Tengah Tahun 2020 Valdi Irawan; Adhi Rizal; Intan Purnamasari
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 10 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (203.577 KB) | DOI: 10.5281/zenodo.6820090

Abstract

The increase in population has resulted in the need for motorized vehicles so that it triggers traffic accidents. The grouping of traffic accident data is important to do, because it will make it easier for the police, especially the traffic accident unit in each district/city police station in Central Java province in reducing the number of traffic accidents. In this study, using Data Mining with the K-Means Algorithm with the aim of obtaining information about traffic accident data groups based on the incidence rate so that it is known the level of traffic accidents that occur in each district / city in the province of Central Java. By using the K-means algorithm, 3 clusters with different accident rates are obtained, cluster 1 is the low accident rate, cluster 2 is moderate, and cluster 3 is the highest accident rate
Co-Authors Adhi Rizal Intan Purnamasari