PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA

DOI: https://doi.org/10.24843/MTK.2019.v08.i02.p241

Abstract

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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Author Biographies

NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM, Udayana University

Program studi Matematika, Fakultas MIPA – Universitas Udayana

I KOMANG GDE SUKARSA, Udayana University

Program studi Matematika, Fakultas MIPA – Universitas Udayana

I GUSTI AYU MADE SRINADI, Udayana University

Program studi Matematika, Fakultas MIPA – Universitas Udayana

Published
2019-05-31
How to Cite
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. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/49762>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.24843/MTK.2019.v08.i02.p241.
Citation Formats
Issue
Vol 8 No 2 (2019)
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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