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IMPLEMENTATION OF THE FUZZY GUSTAFSON-KESSEL METHOD ON GROUPING DISTRICTS/CITIES IN KALIMANTAN ISLAND BASED ON POVERTY ISSUES FACTORS

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 1 (2023) · pp. 0125–0134

DOI
10.30598/barekengvol17iss1pp0125-0134
ISSN
2615-3017, 1978-7227
Published
2023-04-15
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Cluster analysis is an analysis that is useful in summarizing data by grouping objects based on certain similarity characteristics. One of the group analysis is Fuzzy Gustafson-Kessel (FGK) which is the development of the Fuzzy C-Means (FCM) method. The FGK method has a good way in adjusting the form of cluster membership function correctly for a data. This study aims to determine the results of the optimal number of groups based on the Partition Coefficient (PC) and Classification Entropy (CE) validity indexes and to find out the results of grouping 56 districts/cities on the island of Kalimantan based on poverty issue factors in 2021. The optimal number of groups using the FGK method based on the validity indexes of PC and CE are two groups. The first group and the second group each consist of 28 districts/cities in Kalimantan Island.

Collaboration network of the authors

40 authors · 85 co-authorship links · showing the 40 most connected

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Co-authorOrganisationJoint articles
Andrea Tri Rian DaniAffiliation unknown4
Surya PranggaAffiliation unknown4
Rizki Dwi FadlirhohimAffiliation unknown2
Rito GoejantoroAffiliation unknown2
Zakiyah Mar'ahAffiliation unknown2
Meirinda FauziyahAffiliation unknown2
Suyitno SuyitnoAffiliation unknown2
Eka Nur AmaliahAffiliation unknown1
Darnah DarnahAffiliation unknown1
Ahmad Rizky KesumaAffiliation unknown1
Farikah Ayu RinandaAffiliation unknown1
Ilyas AstafiraAffiliation unknown1
Nur AfrianiAffiliation unknown1
Tri Septi Ayu LestariAffiliation unknown1
Reni PratiwiAffiliation unknown1
Tirta PurnaragaAffiliation unknown1
Rifka Nurfaiza ZarkasiAffiliation unknown1
Aprianti Boma PadatuanAffiliation unknown1
Putri Sri AstutiAffiliation unknown1
Muhammad Danil PasarellaAffiliation unknown1
Fidia Deny Tisna AmijayaAffiliation unknown1
Ar Ruum Mia SariAffiliation unknown1
Mohammad Nurul HudaAffiliation unknown1
Sitti AnggraeniAffiliation unknown1
Qonita Qurrota A'yunAffiliation unknown1
Frans Karta Sayoga SitohangAffiliation unknown1
Siti MahmudaAffiliation unknown1
Anggi Putri AnisarAffiliation unknown1
Marisa Nanda SaputriAffiliation unknown1
Wasono WasonoAffiliation unknown1
Rahmania RahmaniaAffiliation unknown1
Asnita AsnitaAffiliation unknown1
Indria SaskaAffiliation unknown1
Ghina Fadhilla MumtazAffiliation unknown1
Nur Annisa FitriAffiliation unknown1
Sri WahyuningsihAffiliation unknown1
Kartika RamadaniAffiliation 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://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">IMPLEMENTATION OF THE FUZZY GUSTAFSON-KESSEL METHOD ON GROUPING DISTRICTS/CITIES IN KALIMANTAN ISLAND  BASED ON POVERTY ISSUES FACTORS</dc:title>
	<dc:creator>Paradilla, Yunda Sasha</dc:creator>
	<dc:creator>Hayati, Memi Nor</dc:creator>
	<dc:creator>Sifriyani, Sifriyani</dc:creator>
	<dc:description xml:lang="en-US">Cluster analysis is an analysis that is useful in summarizing data by grouping objects based on certain similarity characteristics. One of the group analysis is Fuzzy Gustafson-Kessel (FGK) which is the development of the Fuzzy C-Means (FCM) method. The FGK method has a good way in adjusting the form of cluster membership function correctly for a data. This study aims to determine the results of the optimal number of groups based on the Partition Coefficient (PC) and Classification Entropy (CE) validity indexes and to find out the results of grouping 56 districts/cities on the island of Kalimantan based on poverty issue factors in 2021. The optimal number of groups using the FGK method based on the validity indexes of PC and CE are two groups. The first group and the second group each consist of 28 districts/cities in Kalimantan Island.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-04-15</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://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6681</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss1pp0125-0134</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications; 0125-0134</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss1year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6681/5516</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Yunda Sasha Paradilla, Memi Nor Hayati, Sifriyani Sifriyani</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>