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Crime clustering in Yogyakarta: Data analysis 2016-2020 and state responsibility in crime

Jurnal Civics: Media Kajian Kewarganegaraan · Vol. 21 No. 2 (2024) · hlm. 245–253

DOI
10.21831/jc.v21i2.73952
ISSN
2541-1918, 1829-5789
Terbit
2024-09-21
Penerbit
Universitas Negeri Yogyakarta
Bahasa
eng

Abstrak

Crime often occurs. The crime rate in an area will be different from that of other areas according to the characteristics of the area. The clustering carried out in this study is based on the number of reported crime rates. This study aims to cluster crime-prone areas in Yogyakarta City so that they can identify areas to seek to handle them more effectively. The method of this research is ex post facto, which is a quantitative exploratory descriptive. Data was collected through the crime documentation of Yogyakarta City, which has 15 regional units and with crime rates from 2016 to 2020. Clustering is carried out by cluster analysis of the average linkage hierarchy method because the variables are less than 100, so multi-storey clusters are more appropriately used and return to the goal, namely, to identify crime-prone areas. The research results on the crime rate in Yogyakarta City based on data in each reported police unit for five years, namely from 2016, 2017, 2018, 2019, and 2020, show that the unit area is divided into 3 clusters consisting of clusters 1, 2, and 3. Each cluster has members, namely Cluster 1, Yogyakarta City Resort. Cluster 2 consists of Gondomanan, Ngampilan, Gedongtengen, Jetis, Tegalrejo, Wirobrajan, Kraton, Mantrijeron, Mergangsan, Kotagede, Danurajan and Pakualam. Cluster 3 consists of Umbulharjo and Gondokusuman. So, cluster 1, according to the total number of 5 years, is indeed the most, but for clusters 2 and 3, it is different, so in this clustering, the underlying is the similarity between the variables owned. Crime in the city is often encountered due to the heterogeneity of the community from various fields, so practical efforts must be made to deal with it.

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21 penulis · 49 tautan kepenulisan bersama · 16 lintas organisasi

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  • Sultan Idris Education University
  • Yogyakarta State University
  • Universitas Pancasakti Tegal
  • Universitas Gadjah Mada
  • Universitas Muhammadiyah Gorontalo
  • National University of Malaysia
  • Manado State University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Eng Tek OngSultan Idris Education University2
Purwo SusongkoUniversitas Pancasakti Tegal1
Yuni ArfianiUniversitas Pancasakti Tegal1
Mobinta KusumaUniversitas Pancasakti Tegal1
Pauline Swee Choo GohSultan Idris Education University1
Mohd Hairy IbrahimSultan Idris Education University1
Haryanti Mohd AffandiNational University of Malaysia1
Siew Wei ThoSultan Idris Education University1
Mohamad Termizi BorhanSultan Idris Education University1
Charanjit Kaur Swaran SinghSultan Idris Education University1
Devi GovindasamyAfiliasi tidak diketahui1
Md. Nasir IbrahimSultan Idris Education University1
Projo DanoedoroUniversitas Gadjah Mada1
Hartono HartonoUniversitas Gadjah Mada1
Siti Irene Astuti DwiningrumYogyakarta State University1
Yunike SulistyosariManado State University1
Deri IndrahadiYogyakarta State University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.uny.ac.id/index.php/civics/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Crime clustering in Yogyakarta: Data analysis 2016-2020 and state responsibility in crime</dc:title>
	<dc:creator>Martiana, Aris</dc:creator>
	<dc:creator>Arif, Nursida</dc:creator>
	<dc:creator>Wardana, Amika</dc:creator>
	<dc:creator>Wahab, Norwaliza Abdul</dc:creator>
	<dc:subject xml:lang="en-US">clustering</dc:subject>
	<dc:subject xml:lang="en-US">crime</dc:subject>
	<dc:subject xml:lang="en-US">vulnerable areas</dc:subject>
	<dc:subject xml:lang="en-US">urban</dc:subject>
	<dc:description xml:lang="en-US">Crime often occurs. The crime rate in an area will be different from that of other areas according to the characteristics of the area. The clustering carried out in this study is based on the number of reported crime rates. This study aims to cluster crime-prone areas in Yogyakarta City so that they can identify areas to seek to handle them more effectively. The method of this research is ex post facto, which is a quantitative exploratory descriptive. Data was collected through the crime documentation of Yogyakarta City, which has 15 regional units and with crime rates from 2016 to 2020. Clustering is carried out by cluster analysis of the average linkage hierarchy method because the variables are less than 100, so multi-storey clusters are more appropriately used and return to the goal, namely, to identify crime-prone areas. The research results on the crime rate in Yogyakarta City based on data in each reported police unit for five years, namely from 2016, 2017, 2018, 2019, and 2020, show that the unit area is divided into 3 clusters consisting of clusters 1, 2, and 3. Each cluster has members, namely Cluster 1, Yogyakarta City Resort. Cluster 2 consists of Gondomanan, Ngampilan, Gedongtengen, Jetis, Tegalrejo, Wirobrajan, Kraton, Mantrijeron, Mergangsan, Kotagede, Danurajan and Pakualam. Cluster 3 consists of Umbulharjo and Gondokusuman. So, cluster 1, according to the total number of 5 years, is indeed the most, but for clusters 2 and 3, it is different, so in this clustering, the underlying is the similarity between the variables owned. Crime in the city is often encountered due to the heterogeneity of the community from various fields, so practical efforts must be made to deal with it.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Yogyakarta</dc:publisher>
	<dc:date>2024-09-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uny.ac.id/index.php/civics/article/view/73952</dc:identifier>
	<dc:identifier>10.21831/jc.v21i2.73952</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Civics: Media Kajian Kewarganegaraan; Vol. 21 No. 2 (2024); 245-253</dc:source>
	<dc:source>2541-1918</dc:source>
	<dc:source>1829-5789</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uny.ac.id/index.php/civics/article/view/73952/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Jurnal Civics: Media Kajian Kewarganegaraan</dc:rights>
</oai_dc:dc>