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Evaluation of Food Security Area of East Java Province Using Fuzzy C-Means (FCM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 17 No. 4 (2023) · pp. 371–382

DOI
10.22146/ijccs.82297
ISSN
2460-7258, 1978-1520
Published
2023-10-31
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The formation of quality human resources cannot be separated from food, as nutritional intake affects human performance and health. As time increases, the number of residents increases to increase food needs. The ability of a region to meet food needs in its territory is different from other regions. This study aims to classify regions in East Java Province based on food security and determine areas with the best and lowest food security. The method used is the Fuzzy C-Means (FCM) and TOPSIS methods.This research uses criteria based on the Food Security Index compiled by the Food Security Agency. The results of regional clustering using FCM selected the best cluster using three clusters for all requirements, except in food utilization in the city using five clusters. Furthermore, from the clustering results, clustering and cluster members use TOPSIS and produce Magetan regency and Madiun city as areas with the highest food security. At the same time, the lowest food securities are Probolinggo regency and Kediri city.

Keywords

Collaboration network of the authors

23 authors · 65 co-authorship links

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  • 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
Achmad Teguh WibowoUIN Sunan Ampel Surabaya5
Husna Nur LailiUIN Sunan Ampel Surabaya3
Ida PurwantiUIN Sunan Ampel Surabaya2
Putroue Keumala IntanUIN Sunan Ampel Surabaya2
Hani KhaulasariUIN Sunan Ampel Surabaya2
Moh. HafiyusholehUIN Sunan Ampel Surabaya2
Dian Candra Rini NovitasariUIN Sunan Ampel Surabaya1
Diah Devi PramestiUIN Sunan Ampel Surabaya1
Aris FananiUIN Sunan Ampel Surabaya1
Luluk WulandariUIN Sunan Ampel Surabaya1
Nanida Jenahara ZaenUIN Sunan Ampel Surabaya1
Dian YuliatiUIN Sunan Ampel Surabaya1
Suyesti YusiUIN Sunan Ampel Surabaya1
Nurissaidah UlinnuhaUIN Sunan Ampel Surabaya1
Mayandah FarmitaUIN Sunan Ampel Surabaya1
Yahya Vigo Tri SaputraUIN Sunan Ampel Surabaya1
Hani KhaulasariAffiliation unknown1
Yayan Luthfi KhoirinaAffiliation unknown1

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://journal.ugm.ac.id/ijccs/oai, first harvested 26 Oct 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Evaluation of Food Security Area of East Java Province Using Fuzzy C-Means (FCM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)</dc:title>
	<dc:creator>Farida, Yuniar</dc:creator>
	<dc:creator>Firdaus, Ghina Salsabila</dc:creator>
	<dc:creator>Wibowo, Ahmad Teguh</dc:creator>
	<dc:creator>Sari, Silvia Kartika</dc:creator>
	<dc:creator>Desinaini, Latifatun Nadya</dc:creator>
	<dc:subject xml:lang="en-US">Computer Science; Operation Research; Applied Mathematics</dc:subject>
	<dc:subject xml:lang="en-US">Clustering; Fuzzy; Fuzzy C-Means; Food Security Ranking; MCDM; TOPSIS</dc:subject>
	<dc:description xml:lang="en-US">The formation of quality human resources cannot be separated from food, as nutritional intake affects human performance and health. As time increases, the number of residents increases to increase food needs. The ability of a region to meet food needs in its territory is different from other regions. This study aims to classify regions in East Java Province based on food security and determine areas with the best and lowest food security. The method used is the Fuzzy C-Means (FCM) and TOPSIS methods.This research uses criteria based on the Food Security Index compiled by the Food Security Agency. The results of regional clustering using FCM selected the best cluster using three clusters for all requirements, except in food utilization in the city using five clusters. Furthermore, from the clustering results, clustering and cluster members use TOPSIS and produce Magetan regency and Madiun city as areas with the highest food security. At the same time, the lowest food securities are Probolinggo regency and Kediri city.</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2023-10-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/82297</dc:identifier>
	<dc:identifier>10.22146/ijccs.82297</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 17, No 4 (2023): October; 371-382</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/82297/37709</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>