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Analysis of Livestock Meat Production in Indonesia Using Fuzzy C-Means Clustering

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 15 No. 1 (2022) · pp. 1–8

DOI
10.21609/jiki.v15i1.993
ISSN
2502-9274, 2088-7051
Published
2022-02-27
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

The production of livestock in Indonesia is one type of food that the public can consume. Indonesia is still importing meat for food for its people. This study aims to classify provinces in Indonesia with high livestock meat production and low livestock meat production so that the government can maximize areas with high livestock meat production and can seek to increase livestock meat production in areas with low production. Clustering is needed to identify groups of livestock meat-producing provinces with high and low production. The data is grouped into 2 clusters using FCM with a silhouette index value of 0.95664, the first cluster with the highest meat production total in three provinces (West Java, Central Java, and East Java) and the second cluster with the lowest meat production total 31 provinces. West Java, Central Java, and East Java mostly work as livestock breeders due to the availability of sufficient land.

Keywords

Collaboration network of the authors

12 authors · 22 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • UIN Sunan Ampel Surabaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Unix Izyah ArfiantiUIN Sunan Ampel Surabaya1
Nanang WidodoAffiliation unknown1
Moh. HafiyusholehUIN Sunan Ampel Surabaya1
Wika Dianita UtamiUIN Sunan Ampel Surabaya1
Diah Devi PramestiUIN Sunan Ampel Surabaya1
Yuniar FaridaUIN Sunan Ampel Surabaya1
Achmad Teguh WibowoUIN Sunan Ampel Surabaya1
Aris FananiUIN Sunan Ampel Surabaya1
Diah Ayu SulistianiUIN Sunan Ampel Surabaya1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Analysis of Livestock Meat Production in Indonesia Using Fuzzy C-Means Clustering</dc:title>
	<dc:creator>Ais, Chalawatul</dc:creator>
	<dc:creator>Hamid, Abdulloh</dc:creator>
	<dc:creator>Novitasari, Dian Candra Rini</dc:creator>
	<dc:subject xml:lang="en-US">Fuzzy c-means</dc:subject>
	<dc:subject xml:lang="en-US">Livestock Meat Production</dc:subject>
	<dc:subject xml:lang="en-US">Silhouette Index</dc:subject>
	<dc:subject xml:lang="en-US">Clustering</dc:subject>
	<dc:subject xml:lang="en-US">Province in Indonesia</dc:subject>
	<dc:description xml:lang="en-US">The production of livestock in Indonesia is one type of food that the public can consume. Indonesia is still importing meat for food for its people. This study aims to classify provinces in Indonesia with high livestock meat production and low livestock meat production so that the government can maximize areas with high livestock meat production and can seek to increase livestock meat production in areas with low production. Clustering is needed to identify groups of livestock meat-producing provinces with high and low production. The data is grouped into 2 clusters using FCM with a silhouette index value of 0.95664, the first cluster with the highest meat production total in three provinces (West Java, Central Java, and East Java) and the second cluster with the lowest meat production total 31 provinces. West Java, Central Java, and East Java mostly work as livestock breeders due to the availability of sufficient land.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2022-02-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/993</dc:identifier>
	<dc:identifier>10.21609/jiki.v15i1.993</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 15 No. 1 (2022): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 1-8</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v15i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/993/450</dc:relation>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/993/481</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Jurnal Ilmu Komputer dan Informasi</dc:rights>
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