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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Main Authors: NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM, I KOMANG GDE SUKARSA, I GUSTI AYU MADE SRINADI
Format: Article
Language:English
Published: Universitas Udayana 2019-05-01
Series:E-Jurnal Matematika
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/49762
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spelling 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
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AT ikomanggdesukarsa pengelompokantingkatkriminalitasdenganmetodeagglomerativedankmeanssertapeubahpencirinya
AT igustiayumadesrinadi pengelompokantingkatkriminalitasdenganmetodeagglomerativedankmeanssertapeubahpencirinya
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