Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 2

Stock Data Clustering of Food and Beverage Company

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 1 No. 2 (2007)

DOI
10.22146/ijccs.2279
ISSN
2460-7258, 1978-1520
Published
2007-06-30
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

AbstractCluster analysis can be defined as identifying groups of similar objects to discover distribution of patterns and interesting correlations in large data sets. Clustering analysis is important in the fields of pattern recognition and pattern classification. Over the years many methods have been developed for clustering data. In general, clustering methods can be categoried into two categories, i.e., fuzzy clustering and hard clustering. Fuzzy C-means is one of many methods of clustering based on fuzzy approach, while K-Means and K-Medoid are methods clustering based on crisp approach.This study aims to apply Fuzzy C-Means, K-Means and K-Medoid methods for clustering stock data in a jbod and beverage company. The main goal is to find a clustering method that can produce optimal clusters, The resulting clusters are validated using Dunn'• Index (DI). It is expected that the result of this reseach can be used to support decision making in the food and beverage company.Keywords: Clustering, Fuzzy C-Means, K-Means, K-Medoid, Cluster Validity, Dunn's Index (Dl)

Keywords

Collaboration network of the authors

23 authors · 27 co-authorship links · 8 across different organisations

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

  • Sunan Kalijaga State Islamic University Yogyakarta
  • Universitas Gadjah Mada
  • Multimedia Nusantara University
  • Institut Bisnis dan Teknologi Indonesia
  • Udayana University
  • State University of Medan
  • Satya Wacana Christian University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Tundo TundoSunan Kalijaga State Islamic University Yogyakarta3
Seng HansunMultimedia Nusantara University1
Elena YustinaUniversitas Gadjah Mada1
Desak Made Dwi Utami PutraInstitut Bisnis dan Teknologi Indonesia1
Sylvia Jane Annatje SumarauwAffiliation unknown1
I Wayan SuprianaUdayana University1
Siska Dewi LestariAffiliation unknown1
Zulfahmi IndraState University of Medan1
Toni EfendiSunan Kalijaga State Islamic University Yogyakarta1
Retantyo WardoyoUniversitas Gadjah Mada1
Sri T. HartatiUniversitas Gadjah Mada1
Azhari AzhariUniversitas Gadjah Mada1
Ahmad MustafidSunan Kalijaga State Islamic University Yogyakarta1
Yudi IstiantoSunan Kalijaga State Islamic University Yogyakarta1
Riolandi AkbarSunan Kalijaga State Islamic University Yogyakarta1
Yusril Iza FajarendraAffiliation unknown1
Lina ChoridahUniversitas Gadjah Mada1
Reza PulunganUniversitas Gadjah Mada1
Wiwin SulistyoSatya Wacana Christian University1
Eka SulistyowatiSunan Kalijaga State Islamic University Yogyakarta1
Nida Muhliya BarkahAffiliation 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 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Stock Data Clustering of Food and Beverage Company</dc:title>
	<dc:creator>Uyun, Shofwatul</dc:creator>
	<dc:creator>Subanar, Subanar</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Clustering; Fuzzy C-Means; K-Means; K-Medoid, Cluster Validity; Dunn's Index (Dl)</dc:subject>
	<dc:description xml:lang="en-US">AbstractCluster analysis can be defined as identifying groups of similar objects to discover distribution of patterns and interesting correlations in large data sets. Clustering analysis is important in the fields of pattern recognition and pattern classification. Over the years many methods have been developed for clustering data. In general, clustering methods can be categoried into two categories, i.e., fuzzy clustering and hard clustering. Fuzzy C-means is one of many methods of clustering based on fuzzy approach, while K-Means and K-Medoid are methods clustering based on crisp approach.This study aims to apply Fuzzy C-Means, K-Means and K-Medoid methods for clustering stock data in a jbod and beverage company. The main goal is to find a clustering method that can produce optimal clusters, The resulting clusters are validated using Dunn'• Index (DI). It is expected that the result of this reseach can be used to support decision making in the food and beverage company.Keywords : Clustering, Fuzzy C-Means, K-Means, K-Medoid, Cluster Validity, Dunn's Index (Dl)</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="en-US">indoceiss</dc:contributor>
	<dc:date>2007-06-30</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/2279</dc:identifier>
	<dc:identifier>10.22146/ijccs.2279</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 1, No 2 (2007): July</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/2279/2039</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2007 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>