Sebuah Pola Cluster Geospatial Eksplorasi Kejahatan Narkoba di DKI Jakarta

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Title Sebuah Pola Cluster Geospatial Eksplorasi Kejahatan Narkoba di DKI Jakarta
Pola Cluster Geospatial Eksplorasi Kejahatan Narkoba di DKI Jakarta
 
Creator Oetama, Raymond Sunardi
Heng, Tan Thing
Tjahjana, David
 
Description This study is focused on building some visualizations of crimes that occur in the Jakarta area in general, and specifically on drug problems. As the largest city in Indonesia, Jakarta faces the highest number of crimes throughout Indonesia. But unfortunately, there is a lack of geospatial visualization about crime in Jakarta. The visualizations are presented as some cluster models. These models show which parts of Jakarta with a high level of crime, the biggest crimes in Jakarta, and the types of crimes that occur in Jakarta. The biggest crime in Jakarta is also explained with some additional information such as the type of crime, age, and distribution. Clustering is divided into three, which are high, medium, and low. The grouping model was built using Tableau with the K-means algorithm. The results of this study can be used for the Provincial Government of DKI Jakarta to make strategic plans to develop actions that can reduce crime rates in Jakarta.
This study is focused on building some visualizations of crimes that occur in the Jakarta area in general, and specifically on drug problems. As the largest city in Indonesia, Jakarta faces the highest number of crimes throughout Indonesia. But unfortunately, there is a lack of geospatial visualization about crime in Jakarta. The visualizations are presented as some cluster models. These models show which parts of Jakarta with a high level of crime, the biggest crimes in Jakarta, and the types of crimes that occur in Jakarta. The biggest crime in Jakarta is also explained with some additional information such as the type of crime, age, and distribution. Clustering is divided into three, which are high, medium, and low. The grouping model was built using Tableau with the K-means algorithm. The results of this study can be used for the Provincial Government of DKI Jakarta to make strategic plans to develop actions that can reduce crime rates in Jakarta.
 
Publisher Universitas Multimedia Nusantara
 
Date 2020-07-02
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://ejournals.umn.ac.id/index.php/SI/article/view/1514
10.31937/si.v9i1.1514
 
Source Ultima InfoSys : Jurnal Ilmu Sistem Informasi; Vol 11 No 1 (2020): Ultima InfoSys : Jurnal Ilmu Sistem Informasi; 57-62
ULTIMA InfoSys; Vol 11 No 1 (2020): Ultima InfoSys : Jurnal Ilmu Sistem Informasi; 57-62
2549-4015
2085-4579
10.31937/si.v9i1
 
Language ind
 
Relation http://ejournals.umn.ac.id/index.php/SI/article/view/1514/967
 
Rights Copyright (c) 2020 Raymond Sunardi Oetama, Tan Thing Heng, David Tjahjana
http://creativecommons.org/licenses/by-sa/4.0
 

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