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Tamba, Reynold Julian
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics Other

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PENERAPAN ALGORITMA K-MEANS DALAM KLASIFIKASI JUMLAH PENDUDUK JAKARTA SELATAN Tamba, Reynold Julian; Suharso, Aries; Purwantoro, Purwantoro
Jurnal informasi dan komputer Vol 12 No 02 (2024): Jurnal Informasi dan Komputer yang terbit pada tahun 2024 pada bulan 10 (Oktobe
Publisher : LPPM Institut Teknologi Bisnis Dan Bahasa Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v12i02.554

Abstract

This research is a case study conducted at the Directorate General of Population and Civil Registration with the aim of grouping the population based on sub-district and gender, and the method used is the K-Means algorithm. The evaluation results using the silhouette coefficient method show that K-Means is the best algorithm because it obtained a value of 0.7774399276167493. In this study, there were 39 types of population density analyzed, of which 6 were classified as low (cluster 0), 20 were in the middle group (cluster 1), and 8 were middle group (cluster 2), and 6 were the highest (cluster 3). This research makes an important contribution in determining the amount of increase or decrease in population density each year.
Co-Authors Aries Suharso Purwantoro