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Pengelompokkan Tingkat Kriminalitas di Indonesia Menggunakan Algoritma Average Linkage

ESTIMASI: Journal of Statistics and Its Application · Vol. 2 No. 2 (2021) · hlm. 96–104

DOI
10.20956/ejsa.v2i2.10749
ISSN
2721-379X, 2721-3803
Terbit
2021-07-22
Penerbit
Hasanuddin University
Bahasa
en

Abstrak

Crime needs to be analyzed and grouped so that the act does not cause harm either ecologically or psychologically. The statistical method that can be used to classify crime is the Average Linkage Algorithm. The study aims to group and analyze the characteristics of criminal cases in Indonesia. From the results of the analysis, 3 clusters were formed based on the average of each cluster. Cluster 1 consists of Aceh, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, Maluku, North Maluku and Papua. Cluster 2 consists of North Sumatra while Cluster 3 consists of Metro Jaya. The grouping results are the basis of the government, apparatus, and the community in implementing the handling of criminal acts that occur in each cluster area so that prevention can minimize the losses caused by these crimes.

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27 penulis · 71 tautan kepenulisan bersama · 3 lintas organisasi

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  • Hasanuddin University
  • Universitas Halu Oleo
  • Politeknik Pertanian Negeri Pangkajene Kepulauan
  • Afiliasi tidak diketahui
  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Raupong RaupongHasanuddin University5
Anna IslamiyatiHasanuddin University3
Andi Kresna JayaHasanuddin University3
Nasrah SirajangHasanuddin University2
Saleh AfAfiliasi tidak diketahui2
Widya Nauli Amalia PuteriHasanuddin University1
Nirwan IlyasAfiliasi tidak diketahui1
Bunga ApriliaHasanuddin University1
Muhammad ZakirHasanuddin University1
Muhammad Jayzul UsrahHasanuddin University1
Ummi SariHasanuddin University1
Fajar AffanHasanuddin University1
Himawan HimawanAfiliasi tidak diketahui1
Nirwan IlyasHasanuddin University1
Safaruddin SafaruddinUniversitas Halu Oleo1
Niki AriskiAfiliasi tidak diketahui1
Hasrina HasrinaAfiliasi tidak diketahui1
Sunarti SunartiAfiliasi tidak diketahui1
Ilyas IlyasPoliteknik Pertanian Negeri Pangkajene Kepulauan1
Siswanto SiswantoAfiliasi tidak diketahui1
Erna Tri HerdianiHasanuddin University1
Irawaty IrawatyAfiliasi tidak diketahui1
Iis Cendrah KasihHasanuddin University1
Suci Barlian SariHasanuddin University1
Nurhardianti MukhtarHasanuddin University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, pertama di-harvest 2 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Pengelompokkan Tingkat Kriminalitas di Indonesia Menggunakan Algoritma Average Linkage</dc:title>
	<dc:creator xml:lang="en">Azman, Azman</dc:creator>
	<dc:creator xml:lang="en">Anisa, Anisa</dc:creator>
	<dc:subject xml:lang="en">Crime</dc:subject>
	<dc:subject xml:lang="en">Average Linkage Algorithm</dc:subject>
	<dc:subject xml:lang="en">Classify</dc:subject>
	<dc:description xml:lang="en">Crime needs to be analyzed and grouped so that the act does not cause harm either ecologically or psychologically. The statistical method that can be used to classify crime is the Average Linkage Algorithm. The study aims to group and analyze the characteristics of criminal cases in Indonesia. From the results of the analysis, 3 clusters were formed based on the average of each cluster. Cluster 1 consists of Aceh, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, Maluku, North Maluku and Papua. Cluster 2 consists of North Sumatra while Cluster 3 consists of Metro Jaya. The grouping results are the basis of the government, apparatus, and the community in implementing the handling of criminal acts that occur in each cluster area so that prevention can minimize the losses caused by these crimes.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2021-07-22</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.unhas.ac.id/index.php/ESTIMASI/article/view/10749</dc:identifier>
	<dc:identifier>10.20956/ejsa.v2i2.10749</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 2, No. 2, Juli, 2021 : Estimasi; 96-104</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/10749/7092</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2021 ESTIMASI: Journal of Statistics and Its Application</dc:rights>
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