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CLUSTERING KABUPATEN/KOTA PROVINSI SULAWESI TENGGARA BERDASARKAN INDIKATOR KESEJAHTERAAN RAKYAT

SemanTIK: Teknik Informasi · Vol. 4 No. 2 (2018) · hlm. 175–182

DOI
10.55679/semantik.v4i2.5235
ISSN
2502-8928, 2460-1446
Terbit
2018-12-28
Penerbit
Informatics Engineering Department of Halu Oleo University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The problem of people's welfare is a problem that must be faced by developing countries such as Indonesia. Many indicators affect the level of people's welfare, such as population, education, levels and patterns of consumption, poverty, housing, and the environment. To make it easier in preparing plans or making decisions on issues of people's welfare, the government needs data and information regarding the level of people's welfare. Therefore, determining the level of people's welfare needs to be done.This study is intended to produce information on clustering districts/cities in Southeast Sulawesi Province based on indicators of people's welfare using the K-Means algorithm. The process of determining clusters consists of three processes i.e. Process of Collecting Datasets, Process of Clustering, and Process of Cluster Interpretation.The data used are data on people's welfare indicators from 12 districts/cities in Southeast Sulawesi for 2014. The data consists of seven variables, i.e. the Number of Health Facilities, Life Expectancy, the Projected Total Population, the Percentage of Non-Poor People, the Number of Administrative Regions, the Average Length of School, and Spending Per Capita. Based on the results of cluster analysis, it was found that the number of cluster members with low, medium, and high welfare indicators are 3, 6, and 3, respectively.Keywords—K-Means Algorithm, Cluster Analysis, Social WelfareDOI: 10.5281/zenodo.2528154

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  • Universitas Halu Oleo
  • State University of Semarang
  • Bank Indonesia
  • King Abdulaziz University
  • Hasanuddin University
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Rekan penulisOrganisasiArtikel bersama
Natalis RansiUniversitas Halu Oleo2
La SurimiUniversitas Halu Oleo2
Gunawan GunawanState University of Semarang2
Wa Ode IrmayadaniUniversitas Halu Oleo1
Jumadil NangiUniversitas Halu Oleo1
Abdullah Malik Fajar ThahaUniversitas Halu Oleo1
Gunawan GunawanBank Indonesia1
GunawanState University of Semarang1
La Ode Muhammad Ilham SetiawanUniversitas Halu Oleo1
Gusti Arviana RahmanUniversitas Halu Oleo1
Auni TiftazaniUniversitas Halu Oleo1
La Ode Muhammad Hafidz Abdillah Sam MongkitoUniversitas Halu Oleo1
Budi Wijaya RaufUniversitas Halu Oleo1
Ferdinand Murni HamunduUniversitas Halu Oleo1
Herdi BudimanUniversitas Halu Oleo1
Juang JulianUniversitas Halu Oleo1
Putu Nara Kusuma PrasanjayaUniversitas Halu Oleo1
Achirul Slamet SugiartoAfiliasi tidak diketahui1
La Ode SaidiAfiliasi tidak diketahui1
Ferdinand Murni HamunduAfiliasi tidak diketahui1
Ahmad Hoirul BasoriKing Abdulaziz University1
Makkulau MakkulauUniversitas Halu Oleo1
Adham Panggu RumandaAfiliasi tidak diketahui1
Andi Muhammad Islah H. MansyurAfiliasi tidak diketahui1
Nana SumarnaUniversitas Halu Oleo1
Fuji astutiUniversitas Halu Oleo1
Muhibi MuhibiAfiliasi tidak diketahui1
Ruslan RuslanUniversitas Halu Oleo1
Baharuddin BaharuddinHasanuddin University1
Ida UsmanUniversitas Halu Oleo1
Mukhsar MukhsarUniversitas Halu Oleo1
Rahmalia SahupalaUniversitas Halu Oleo1
Edi CahyonoUniversitas Halu Oleo1
Ruslan RuslanUniversitas Halu Oleo1
Lilis LaomeUniversitas Halu Oleo1
Norma MuhtarUniversitas Halu Oleo1

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Sumber metadata: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/semantik/oai, pertama di-harvest 29 Okt 2026, terakhir terlihat 29 Okt 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">CLUSTERING  KABUPATEN/KOTA PROVINSI SULAWESI TENGGARA BERDASARKAN INDIKATOR KESEJAHTERAAN RAKYAT</dc:title>
	<dc:creator>Tenriawaru, Andi</dc:creator>
	<dc:subject xml:lang="en-US">Software Engineering</dc:subject>
	<dc:description xml:lang="en-US">The problem of people's welfare is a problem that must be faced by developing countries such as Indonesia. Many indicators affect the level of people's welfare, such as population, education, levels and patterns of consumption, poverty, housing, and the environment. To make it easier in preparing plans or making decisions on issues of people's welfare, the government needs data and information regarding the level of people's welfare. Therefore, determining the level of people's welfare needs to be done.This study is intended to produce information on clustering districts/cities in Southeast Sulawesi Province based on indicators of people's welfare using the K-Means algorithm. The process of determining clusters consists of three processes i.e. Process of Collecting Datasets, Process of Clustering, and Process of Cluster Interpretation.The data used are data on people's welfare indicators from 12 districts/cities in Southeast Sulawesi for 2014. The data consists of seven variables, i.e. the Number of Health Facilities, Life Expectancy, the Projected Total Population, the Percentage of Non-Poor People, the Number of Administrative Regions, the Average Length of School, and Spending Per Capita. Based on the results of cluster analysis, it was found that the number of cluster members with low, medium, and high welfare indicators are 3, 6, and 3, respectively.Keywords—K-Means Algorithm, Cluster Analysis, Social WelfareDOI : 10.5281/zenodo.2528154</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2018-12-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
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	<dc:identifier>https://ojs.uho.ac.id/index.php/semantik/article/view/5235</dc:identifier>
	<dc:identifier>10.55679/semantik.v4i2.5235</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 4, No 2 (2018): semanTIK; 175-182</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v4i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/5235/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 semanTIK</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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