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All Journal International Journal of Informatics and Computation Jurnal Sistem Informasi Akuntansi
Ulumuddin Ulumuddin
Universitas Bina Sarana Informatika
Computer Science & IT Economics, Econometrics & Finance

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Journal : International Journal of Informatics and Computation

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Enhancing Crime Prediction Using K-Means with PSO Ulumuddin
International Journal of Informatics and Computation Vol. 7 No. 1 (2025): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v7i1.68

Abstract

The effects of social media and modern approaches help offenders to achieve their crimes. This paper explores machine learning architecture to predict criminal crime cases by classifying each type of crime using K-Means which is optimized with PSO from the data the researcher got in the past mas. The clustering parameters use medium, light, and severe crime categories, each of them gets medium = 74, light = 46, and weight = 30. According to the experimental result, K-Means optimization with PSO can produce 0,12287 which uses SSE parameters while k-means performance gets results 0.885.
Co-Authors Abimanyu Surya Putra Azzah Rifqi Hakim Cindy Ayu Santika Dea T rinanda Prameswari Dzulchan Abror Fandhillah Fandhillah Husni Mubarok Nikmatul Maula Rousyati Rousyati Warjiyono Warjiyono