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Open access Jurnal SINTA 3

MAPPING THE HAPPINESS LEVEL DISPARITY OF THE INDONESIAN POPULATION USING MULTIDIMENSIONAL SCALING

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 16 No. 4 (2022) · pp. 1221–1230

DOI
10.30598/barekengvol16iss4pp1221-1230
ISSN
2615-3017, 1978-7227
Published
2022-12-15
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The Central Statistics Agency has published a survey report on the happiness of the Indonesian people in 2017. The survey results show that there are disparities that vary between provinces. The province with the highest happiness index was North Maluku, while the province with the lowest happiness index was Papua. Based on this phenomenon, the researcher wants to map the provinces based on the similarity of happiness levels. Researchers used quantitative descriptive methods with data analysis using multidimensional scaling. The results show that the provinces that have similarities with the happiest group are: [1] North Maluku province is like Riau Islands, Gorontalo, North Sulawesi, and Maluku. [2] South Kalimantan is like North Kalimantan, East Kalimantan, DI Yogyakarta, and Bali. [3] DKI Jakarta is like West Papua. [4] South Sulawesi is like West Sumatra, Riau, and South Sumatra. [5] Aceh is like Kep. Bangka Belitung. The less happy group [1] West Java is like Banten, Central Java, Central Kalimantan, Jambi, and East Java. [2] North Sumatra is like Papua. [3] Central Sulawesi is like Southeast Sulawesi, West Nusa Tenggara, Bengkulu, West Kalimantan, West Sulawesi, Lampung, and East Nusa Tenggara.

Collaboration network of the authors

31 authors · 124 co-authorship links · 27 across different organisations

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  • Yogyakarta State University
  • Universitas Pancasakti Tegal
  • Universitas Sulawesi Barat
  • Webster University
  • National Research and Innovation Agency
  • Khon Kaen University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sumaryanto SumaryantoYogyakarta State University2
Lantip Diat PrasojoYogyakarta State University2
Purwoko Haryadi SantosoUniversitas Sulawesi Barat2
Firdaus Amruzain Satiranandi WibowoAffiliation unknown2
Asma KhoirunnisaAffiliation unknown2
Angella Ananta BatubaraAffiliation unknown2
Miftah Okta BerlianAffiliation unknown2
Zulfa Safina IbrahimAffiliation unknown2
Jailani JailaniAffiliation unknown2
Janu ArlinwibowoNational Research and Innovation Agency1
Bayuk NusantaraYogyakarta State University1
Samsul HadiYogyakarta State University1
Rimajon SotlikovaWebster University1
Moh. KhairudinYogyakarta State University1
Bayu SetiajiYogyakarta State University1
Khafidh Nur AzizYogyakarta State University1
Lovieanta ArrizaAffiliation unknown1
Rizki Tika AyuniAffiliation unknown1
Prihantono PrihantonoAffiliation unknown1
Khairawati KhairawatiAffiliation unknown1
Muhammad Lintang Damar SaktiAffiliation unknown1
Muhammad Lintang Damar SaktiAffiliation unknown1
Kana HidayatiAffiliation unknown1
Nur Hadi WaryantoAffiliation unknown1
Purwo SusongkoUniversitas Pancasakti Tegal1
Mobinta KusumaUniversitas Pancasakti Tegal1
İnsih WilujengYogyakarta State University1
Chokchai YuenyongKhon Kaen University1
Ariyatun AriyatunAffiliation 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">MAPPING THE HAPPINESS LEVEL DISPARITY OF THE INDONESIAN POPULATION USING MULTIDIMENSIONAL SCALING</dc:title>
	<dc:creator>Sumin, Sumin</dc:creator>
	<dc:creator>Retnawati, Heri</dc:creator>
	<dc:description xml:lang="en-US">The Central Statistics Agency has published a survey report on the happiness of the Indonesian people in 2017. The survey results show that there are disparities that vary between provinces. The province with the highest happiness index was North Maluku, while the province with the lowest happiness index was Papua. Based on this phenomenon, the researcher wants to map the provinces based on the similarity of happiness levels. Researchers used quantitative descriptive methods with data analysis using multidimensional scaling. The results show that the provinces that have similarities with the happiest group are: [1] North Maluku province is like Riau Islands, Gorontalo, North Sulawesi, and Maluku. [2] South Kalimantan is like North Kalimantan, East Kalimantan, DI Yogyakarta, and Bali. [3] DKI Jakarta is like West Papua. [4] South Sulawesi is like West Sumatra, Riau, and South Sumatra. [5] Aceh is like Kep. Bangka Belitung. The less happy group [1] West Java is like Banten, Central Java, Central Kalimantan, Jambi, and East Java. [2] North Sumatra is like Papua. [3] Central Sulawesi is like Southeast Sulawesi, West Nusa Tenggara, Bengkulu, West Kalimantan, West Sulawesi, Lampung, and East Nusa Tenggara.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2022-12-15</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/6156</dc:identifier>
	<dc:identifier>10.30598/barekengvol16iss4pp1221-1230</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications; 1221-1230</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol16iss4year2022</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6156/5138</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Sumin Sumin, Heri Retnawati</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>