PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA
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https://doi.org/10.24843/MTK.2019.v08.i02.p241
Abstrak
The purpose of this research is it define the classification of crime rate based on the type of crime and its characterization variable. The data used in this research are secondary data in form of data on the number of crime rates based on the type of crime in 32 regional police in the province with 12 variables. This research is used Agglomerative and K-Means method along with Biplot Analysis. The result shows that there are three classification based upon Single Linkage as the best method which each characteristic of every classification is the crime of family abuse, crime of minor mistreatment and crime of corruption.
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2019-05-31
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TARAM, NYOMAN GDE PRAJNAWIWEKA RATMASA; SUKARSA, I KOMANG GDE; SRINADI, I GUSTI AYU MADE.
PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA.
E-Jurnal Matematika, [S.l.], v. 8, n. 2, p. 102-111, may 2019.
ISSN 2303-1751. Tersedia pada: <https://ojs.unud.ac.id/index.php/mtk/article/view/49762>. Tanggal Akses: 14 oct. 2025
doi: https://doi.org/10.24843/MTK.2019.v08.i02.p241.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
