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Agglomerative Nesting Cluster Analyst in Mapping District/City Health Facilities in West Java Province

Jurnal Matematika, Statistika dan Komputasi · Vol. 20 No. 3 (2024) · pp. 484–496

DOI
10.20956/j.v20i3.32043
ISSN
2614-8811, 1858-1382
Published
2024-05-15
Publisher
Department of Mathematics, Hasanuddin University
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

English

The use of Hierarchical Clustering is used to group districts or cities in West Java according to the number of health facilities, distance to health facilities and population density using Agglomerative Nesting (AGNES). Clustering in this study utilizes complete linkage clustering. The elbow method produces two optimal clusters which are then validated with the sillhoute coefficient and Calinski-Harabasz. In this study, there are 27 variables in the form of health facilities spread across 27 regencies/cities in West Java in 2021. The results of the cluster analysis formed in this study are 18 districts/cities in cluster one and 9 districts/cities in cluster two

Bahasa Indonesia

Pemanfaatan Hierarchical Clustering digunakan untuk mengelompokkan kabupaten atau kota di Jawa Barat menurut jumlah sarana Kesehatan, jarak menuju sarana Kesehatan dan kepadatan penduduk menggunakan Agglomerative Nesting (AGNES). Clustering pada penelitian ini memanfaatkan clustering complete linkage. Metode elbow menghasilkan dua cluster optimal yang kemudian divalidasi dengan sillhoute coefficient dan Calinski-Harabasz. Pada penelitian ini terdapat 27 peubah berupa sarana kesehatan yang tersebar pada 27 kabupaten/kota di Jawa Barat tahun 2021. Hasil analisis cluster yang terbentuk dalam penelitian ini terdapat 18 kabupaten/kota pada cluster satu dan 9 kabupaten/kota pada cluster dua.

Keywords

Collaboration network of the authors

40 authors · 112 co-authorship links · 2 across different organisations · showing the 40 most connected

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

  • IPB University
  • Bandung Islamic University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Indahwati IndahwatiAffiliation unknown5
Bagus SartonoIPB University3
Anang KurniaAffiliation unknown3
Khairil Anwar NotodiputroBandung Islamic University3
I Made SumertajayaAffiliation unknown2
Agus Mohamad SolehIPB University2
Anik DjuraidahAffiliation unknown2
Andi Harismahyanti A.Affiliation unknown2
Ismah IsmahAffiliation unknown1
Sim Hui XinAffiliation unknown1
Anggita Rizky FadilahAffiliation unknown1
Reni AmeliaAffiliation unknown1
Farah AbqorunnisaAffiliation unknown1
Nindya WulandariAffiliation unknown1
Irzaman IrzamanAffiliation unknown1
Utami Dyah SyafitriAffiliation unknown1
Husnun NashirAffiliation unknown1
Muhammad Nur AidiAffiliation unknown1
Yesan TiaraAffiliation unknown1
Rika RachmawatiAffiliation unknown1
Ni Gusti Ayu Putu Puteri SuantariAffiliation unknown1
Nila LestariAffiliation unknown1
Elisa D JuliantiAffiliation unknown1
Hari WijayantoAffiliation unknown1
Kristuisno Martsuyanto KapilukaAffiliation unknown1
Herlin FransiskaAffiliation unknown1
Ita WulandariAffiliation unknown1
Pardomuan Robinson SihombingAffiliation unknown1
Yunna Mentari IndahAffiliation unknown1
Asep SaefuddinIPB University1
Kusman SadikAffiliation unknown1
Lukmanul HakimAffiliation unknown1
Cici SuhaeniIPB University1
Uswatun HasanahAffiliation unknown1
Agus Mohamad SolehAffiliation 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.unhas.ac.id/index.php/jmsk/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Agglomerative Nesting Cluster Analyst in Mapping District/City Health Facilities in West Java Province </dc:title>
	<dc:creator xml:lang="en">Alwani, Nadira Nisa </dc:creator>
	<dc:creator xml:lang="en">Megawati, Megawati</dc:creator>
	<dc:creator xml:lang="en">Fitrianto, Anwar </dc:creator>
	<dc:creator xml:lang="en">Erfiani, Erfiani</dc:creator>
	<dc:creator xml:lang="en">Pradana, Alfa Nugraha </dc:creator>
	<dc:subject xml:lang="en">Agglomerative Nesting</dc:subject>
	<dc:subject xml:lang="en">Clustering</dc:subject>
	<dc:subject xml:lang="en">Health Facilities</dc:subject>
	<dc:description xml:lang="en">The use of Hierarchical Clustering is used to group districts or cities in West Java according to the number of health facilities, distance to health facilities and population density using Agglomerative Nesting (AGNES). Clustering in this study utilizes complete linkage clustering. The elbow method produces two optimal clusters which are then validated with the sillhoute coefficient and Calinski-Harabasz. In this study, there are 27 variables in the form of health facilities spread across 27 regencies/cities in West Java in 2021. The results of the cluster analysis formed in this study are 18 districts/cities in cluster  one and 9 districts/cities in cluster two</dc:description>
	<dc:description xml:lang="id">Pemanfaatan Hierarchical Clustering digunakan untuk mengelompokkan kabupaten atau kota di Jawa Barat menurut jumlah sarana Kesehatan, jarak menuju sarana Kesehatan dan kepadatan penduduk menggunakan Agglomerative Nesting (AGNES). Clustering pada penelitian ini memanfaatkan clustering complete linkage. Metode elbow menghasilkan dua cluster optimal yang kemudian divalidasi dengan sillhoute coefficient dan Calinski-Harabasz. Pada penelitian ini terdapat 27 peubah berupa sarana kesehatan yang tersebar pada 27 kabupaten/kota di Jawa Barat tahun 2021. Hasil analisis cluster yang terbentuk dalam penelitian ini terdapat 18 kabupaten/kota pada cluster satu dan 9 kabupaten/kota pada cluster dua.</dc:description>
	<dc:publisher xml:lang="en">Department of Mathematics, Hasanuddin University</dc:publisher>
	<dc:date>2024-05-15</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://journal.unhas.ac.id/index.php/jmsk/article/view/32043</dc:identifier>
	<dc:identifier>10.20956/j.v20i3.32043</dc:identifier>
	<dc:source xml:lang="en">Jurnal Matematika, Statistika dan Komputasi; Vol. 20 No. 3 (2024): May 2024; 484-496</dc:source>
	<dc:source>2614-8811</dc:source>
	<dc:source>1858-1382</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jmsk/article/view/32043/11475</dc:relation>
	<dc:relation>10.20956/j.v20i3.32043.g11475</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Author and publisher</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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