Oetama, Raymond Sunardi and Tan, Thing Heng and Tjahjana, David (2020) Pola Cluster Geospatial Eksplorasi Kejahatan Narkoba di DKI Jakarta. Ultima InfoSys : Jurnal Ilmu Sistem Informasi, 11 (1). pp. 57-62. ISSN 2549-4015
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Abstract
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.
| Item Type: | Article |
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| Keywords: | Clustering, Crime, Geospatial, K-means, Tableau |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods |
| Divisions: | Faculty of Engineering & Informatics > Information System |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 04 Apr 2023 07:15 |
| Last Modified: | 04 Apr 2023 07:15 |
| URI: | https://kc.umn.ac.id/id/eprint/25235 |
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