Melola Discovery

← Melola Discovery

Open access Jurnal

Analisis Pengaruh Inflasi Terhadap Perekonomian Regional di Provinsi Papua Tahun 2015-2024

Jurnal Kajian Ekonomi dan Studi Pembangunan · Vol. 13 No. 1 (2026)

DOI
10.56076/jkesp.v13i1.5593
ISSN
2355-6323
Published
2026-04-29
Publisher
Universitas Cenderawasih
Language
eng
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

This study aims to analyze the inflation trend in Papua Province during the 2014-2023 period, explain the development of economic growth, and examine the effect of inflation on regional economic growth in Papua Province. The research method used is a quantitative approach with secondary time series data obtained from the Central Statistics Agency (BPS) of Papua Province and Bank Indonesia. The analysis was conducted through classical assumption tests (normality, multicollinearity, and autocorrelation), Pearson correlation test, and simple regression using the log-log elasticity model to measure the magnitude of inflation's effect on Gross Regional Domestic Product (GRDP) at constant prices. The results show that inflation in Papua Province during the 2014-2023 period experienced fairly high fluctuations, with the highest peak occurring in 2018 at 6.54 percent, while economic growth contracted by minus 1.10 percent in 2020 due to the COVID-19 pandemic before recovering in subsequent years. The regression analysis proves that inflation has a negative and significant effect on economic growth in Papua Province, with a regression coefficient of -1.154 and a significance value of 0.000, meaning that every 1 percent increase in inflation will reduce economic growth by 1.154 percent. The coefficient of determination (R Square) value of 0.284 indicates that inflation explains 28.4 percent of the variation in economic growth, while the remaining is influenced by other variables outside the model. Keywords: Inflation, Economic Growth, GRDP, Papua Province, Log-Log Regression

Collaboration network of the authors

40 authors · 87 co-authorship links · showing the 40 most connected

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

  • Universitas Islam Negeri Raden Intan Lampung
  • Universitas Jember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ida Ayu Purba RianiAffiliation unknown5
Elsyan R. MarlissaAffiliation unknown3
Ida Ayu Purba RianiAffiliation unknown2
Marsi Adi PurwadiAffiliation unknown2
Meinarni AsnawiAffiliation unknown2
Agustinus SalleAffiliation unknown2
Risky Novan NgutraAffiliation unknown2
Charley M. BisaiAffiliation unknown2
Balthazar KreutaAffiliation unknown2
Dominggus MareyAffiliation unknown2
Dwi FitrianiAffiliation unknown1
Stephanny Inagama TimiselaAffiliation unknown1
Siti RofingatunAffiliation unknown1
Alferus SanuariAffiliation unknown1
Siswanto SiswantoAffiliation unknown1
Alfiana AntohAffiliation unknown1
Daryono DaryonoAffiliation unknown1
Ida Ayu PurbarianiAffiliation unknown1
Boy Pieter Nizu KekryAffiliation unknown1
Syaikhul FalahAffiliation unknown1
Theresia P. WanmaAffiliation unknown1
Arius KambuAffiliation unknown1
Menik TiwikartiAffiliation unknown1
Deddy A. KawerAffiliation unknown1
Maylend K. P KambuayaAffiliation unknown1
Agus KurniawanUniversitas Islam Negeri Raden Intan Lampung1
Tutun A. KendeAffiliation unknown1
Siti AminahUniversitas Jember1
Sarlota RatangAffiliation unknown1
Hans KaiwayAffiliation unknown1
Achmad Riyadi PajeruAffiliation unknown1
Marthen Luther SoweAffiliation unknown1
Elisabeth Lenny MaritAffiliation unknown1
Rizka AndaniAffiliation unknown1
Yohanes YaungAffiliation unknown1
Tince RumaluturAffiliation unknown1
Arnold WondiwoiAffiliation unknown1
Flora Yvonne de QuelyoeAffiliation 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">Analisis Pengaruh Inflasi Terhadap Perekonomian Regional di Provinsi Papua Tahun 2015-2024</dc:title>
	<dc:creator>Seran, Anderias</dc:creator>
	<dc:creator>Hafizrianda, Yundy</dc:creator>
	<dc:description xml:lang="en-US">This study aims to analyze the inflation trend in Papua Province during the 2014-2023 period, explain the development of economic growth, and examine the effect of inflation on regional economic growth in Papua Province. The research method used is a quantitative approach with secondary time series data obtained from the Central Statistics Agency (BPS) of Papua Province and Bank Indonesia. The analysis was conducted through classical assumption tests (normality, multicollinearity, and autocorrelation), Pearson correlation test, and simple regression using the log-log elasticity model to measure the magnitude of inflation's effect on Gross Regional Domestic Product (GRDP) at constant prices. The results show that inflation in Papua Province during the 2014-2023 period experienced fairly high fluctuations, with the highest peak occurring in 2018 at 6.54 percent, while economic growth contracted by minus 1.10 percent in 2020 due to the COVID-19 pandemic before recovering in subsequent years. The regression analysis proves that inflation has a negative and significant effect on economic growth in Papua Province, with a regression coefficient of -1.154 and a significance value of 0.000, meaning that every 1 percent increase in inflation will reduce economic growth by 1.154 percent. The coefficient of determination (R Square) value of 0.284 indicates that inflation explains 28.4 percent of the variation in economic growth, while the remaining is influenced by other variables outside the model.
Keywords: Inflation, Economic Growth, GRDP, Papua Province, Log-Log Regression</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Cenderawasih</dc:publisher>
	<dc:date>2026-04-29</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/5593</dc:identifier>
	<dc:identifier>10.56076/jkesp.v13i1.5593</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Kajian Ekonomi dan Studi Pembangunan; Vol. 13 No. 1 (2026)</dc:source>
	<dc:source xml:lang="id-ID">Jurnal Kajian Ekonomi dan Studi Pembangunan; Vol 13 No 1 (2026)</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/5593/3656</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>