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All Journal Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE)
Tantisnio, Fanika Putri
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Clustering Women Violence Cases Based on Number in Central Java Province Using K-Means Algorithm Tantisnio, Fanika Putri; Wakhidah, Nur
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.21671

Abstract

Cases of violence against women are one of the cases that require special attention, especially in the Central Java Province area. This study aims to classify the number of cases of violence against women (age 18+) based on data from 2022 and 2023 using the K-Means algorithm. Through the K-Means método, the regions are classified into 2 clusters based on the pattern of the number of cases in the 2 years. The results of clustering show two main groups: the first cluster which is from the majority of regions with a fairly low number of violent cases, and the second cluster which includes Semarang City as a very high number of violent cases. This study provides an overview of cases of violence against women in Central Java Province and identifies areas with higher case rates. This research is expected to be used as a basis for more appropriate policy-making to reduce the rate of violence against women in the most affected areas.
Co-Authors Nur Wakhidah