Abstract
<p>Crimes occur in many places and cause complex problems that have widespread impacts on all levels of society. Crime is related to several factors including crime index, the ratio of the number of police to the population, population density and poverty rates. In this study trying to develop an information system that is able to display and map crime-prone areas in Central Java. Based on these factors, it is used to classify regions in Central Java, namely the category of safe, quite vulnerable, vulnerable and very vulnerable. <em>K</em>-Means clustering method, is very suitable to be used in predicting and grouping which areas are included in the 4 categories. The formulation of the problem is to find out areas prone to crime in Central Java. Based on the results, there are 11 regions with safe categories, 4 areas with quite vulnerable categories, 13 regions with vulnerable categories and 6 regions with very vulnerable categories.</p><p><strong>Keywords</strong><strong> : </strong><em>K</em>-Means clustering, mapping, Central Java, criminality, crime area.</p>
Highlights
Crime is a complicated problem that has wide impact on all levels of society
For the clustering algorithm to be advantageous and beneficial some of the conditions need to be satisfied. In this case we identify the 4 clusters into which the data can be divided; the similarity criterion is distance: two or more objects belong to the same cluster if they are “close” according to a given distance
The regions included in the safe category are Magelang, Sukoharjo, Wonogiri, Pati, Kudus, Jepara, Semarang, Temanggung, Kendal, Batang and Tegal districts
Summary
Crime is a complicated problem that has wide impact on all levels of society. Crimes often occur in various places with different time events, making it difficult to determine which areas have a degree of vulnerability to crime. Information about the number of crimes is needed by the community and law enforcement in this case the police. This information is very useful for anticipatory actions. For the police, this information helps in making decisions about whether an area needs extra supervision or not. This information helps in making decisions about whether an area needs extra supervision or not This information is needed to determine the intensity of the crime
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