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Pengaruh Indeks Pembangunan Manusia Terhadap Pertumbuhan Ekonomi di Kabupaten Jayapura Tahun 2010–2023

Jurnal Kajian Ekonomi dan Studi Pembangunan · Vol. 12 No. 1 (2026)

DOI
10.56076/jkesp.v12i1.5481
ISSN
2355-6323
Published
2026-04-23
Publisher
Universitas Cenderawasih
Language
eng
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

Growth (Ln GDRP) in Jayapura Regency during the period 2010–2023. HDI is a human development indicator that reflects quality of life in terms of education, health, and purchasing power, while GRDP is used as an indicator of regional economic growth. The method used in this research is quantitative analysis with a semi-log regression approach in the Log-Lin form. The analysis results show that HDI has a positive and significant effect on economic growth. The regression coefficient for HDI of 0.1651 indicates that every one-point increase in HDI will increase economic growth by 0.1651%. The R-squared value of 0.9765 shows that 97.65% of the variation in economic growth (Ln GRDP) can be explained by variations in HDI, indicating a very high explanatory power of the model. Further statistical tests confirm the significance of these results. The t-statistic value for HDI is 22.3322 with a probability of 0.0000, indicating a highly statistically significant effect. Similarly, the F-statistic test with a value of 498.7262 and a probability of 0.0000 indicates that the model as a whole is significant in explaining the relationship between the variables. The implications of these findings reinforce the crucial role of human development in driving economic growth. Improvements in HDI, which include health, education, and living standards, have proven to significantly contribute to economic growth. These findings provide an empirical basis for policymakers to prioritize programs that enhance the quality of life of the population, as such efforts are not only socially beneficial but also promote economic progress. Keywords: Human Development Index, Economic Growth, Log-linear Regression

Collaboration network of the authors

32 authors · 72 co-authorship links

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  • Universitas Jember
  • Affiliation unknown
  • Different organisations
  • Same organisation
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  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Yundy HafizriandaAffiliation unknown5
Charley M. BisaiAffiliation unknown3
Transna Putra UripAffiliation unknown3
Marsi Adi PurwadiAffiliation unknown3
Elisabeth Lenny MaritAffiliation unknown2
Balthazar KreutaAffiliation unknown2
P. N. PatinggiAffiliation unknown2
Zeth F. WaroyAffiliation unknown1
Evi HartatiAffiliation unknown1
Aurelianus JehanuAffiliation unknown1
Tierzha A. N. TonapaAffiliation unknown1
Robert M. WST. MarbunAffiliation unknown1
Siti AminahUniversitas Jember1
Amilien SemborAffiliation unknown1
Boy Denny P. SimamoraAffiliation unknown1
Hans Z KaiwaiAffiliation unknown1
Herbekti RiandjumahgeAffiliation unknown1
Flora Yvonne de QueloeAffiliation unknown1
Tri Listyo HernaningsihAffiliation unknown1
Yohan SumreskosuAffiliation unknown1
Brian Kristianto YegrimAffiliation unknown1
Mahmudah MahmudahAffiliation unknown1
Eka Putra KatoAffiliation unknown1
Sarlota Arrang RatangAffiliation unknown1
Tzunami Febriani RolloAffiliation unknown1
Dhiar Dwi AtmajaAffiliation unknown1
Yohanes Yanuarius BaruAffiliation unknown1
Agustinus SalleAffiliation unknown1
I Gede Dhanan JayaAffiliation unknown1
Putri WahyuningsihAffiliation unknown1
Agustina SanggrangbanoAffiliation 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://ejournal.uncen.ac.id/index.php/JKESP/oai, first harvested 1 Nov 2026, last seen 1 Nov 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">Pengaruh Indeks Pembangunan Manusia Terhadap Pertumbuhan Ekonomi di Kabupaten Jayapura Tahun 2010–2023</dc:title>
	<dc:creator>Riani, Ida Ayu Purba</dc:creator>
	<dc:description xml:lang="en-US">Growth (Ln GDRP) in Jayapura Regency during the period 2010–2023. HDI is a human development indicator that reflects quality of life in terms of education, health, and purchasing power, while GRDP is used as an indicator of regional economic growth. The method used in this research is quantitative analysis with a semi-log regression approach in the Log-Lin form. The analysis results show that HDI has a positive and significant effect on economic growth. The regression coefficient for HDI of 0.1651 indicates that every one-point increase in HDI will increase economic growth by 0.1651%. The &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;R-squared value of 0.9765 shows that 97.65% of the variation in economic growth (Ln GRDP) can be explained by variations in HDI, indicating a very high explanatory power of the model. Further statistical tests confirm the significance of these results. The t-statistic value for HDI is 22.3322 with a probability of 0.0000, indicating a highly statistically significant effect. Similarly, the F-statistic test with a value of 498.7262 and a probability of 0.0000 indicates that the model as a whole is significant in explaining the relationship between the variables. The implications of these findings reinforce the crucial role of human development in driving economic growth. Improvements in HDI, which include health, education, and living standards, have proven to significantly contribute to economic growth. These findings provide an empirical basis for policymakers to prioritize programs that enhance the quality of life of the population, as such efforts are not only socially beneficial but also promote economic progress.
&amp;nbsp;
Keywords: Human Development Index, Economic Growth, Log-linear Regression</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Cenderawasih</dc:publisher>
	<dc:date>2026-04-23</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.uncen.ac.id/index.php/JKESP/article/view/5481</dc:identifier>
	<dc:identifier>10.56076/jkesp.v12i1.5481</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Kajian Ekonomi dan Studi Pembangunan; Vol. 12 No. 1 (2025)</dc:source>
	<dc:source xml:lang="id-ID">Jurnal Kajian Ekonomi dan Studi Pembangunan; Vol 12 No 1 (2025)</dc:source>
	<dc:source>2355-6323</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.uncen.ac.id/index.php/JKESP/article/view/5481/3585</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Jurnal Kajian Ekonomi dan Studi Pembangunan</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights>
</oai_dc:dc>