PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA
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 wit...
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doaj-7c0aaf2ed2fc499c8ffda0bb81d77e0d2020-11-25T01:30:20ZengUniversitas UdayanaE-Jurnal Matematika2303-17512019-05-018210211110.24843/MTK.2019.v08.i02.p24149762PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYANYOMAN GDE PRAJNAWIWEKA RATMASA TARAM0I KOMANG GDE SUKARSA1I GUSTI AYU MADE SRINADI2Udayana UniversityUdayana UniversityUdayana UniversityThe 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.https://ojs.unud.ac.id/index.php/mtk/article/view/49762 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM I KOMANG GDE SUKARSA I GUSTI AYU MADE SRINADI |
spellingShingle |
NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM I KOMANG GDE SUKARSA I GUSTI AYU MADE SRINADI PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA E-Jurnal Matematika |
author_facet |
NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM I KOMANG GDE SUKARSA I GUSTI AYU MADE SRINADI |
author_sort |
NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM |
title |
PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA |
title_short |
PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA |
title_full |
PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA |
title_fullStr |
PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA |
title_full_unstemmed |
PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA |
title_sort |
pengelompokan tingkat kriminalitas dengan metode agglomerative dan k-means serta peubah pencirinya |
publisher |
Universitas Udayana |
series |
E-Jurnal Matematika |
issn |
2303-1751 |
publishDate |
2019-05-01 |
description |
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. |
url |
https://ojs.unud.ac.id/index.php/mtk/article/view/49762 |
work_keys_str_mv |
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