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PEMODELAN REGRESI SPASIAL DEPENDENSI PADA TINGKAT PARTISIASI ANGKATAN KERJA DI INDONESIA TAHUN 2020

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 15 No. 4 (2021) · pp. 687–696

DOI
10.30598/barekengvol15iss4pp687-696
ISSN
2615-3017, 1978-7227
Published
2021-12-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

This study discusses the regression modeling with spatial dependence to determine the factors affecting the labor force participation rate in Indonesia 2020. The spatial regression models used in this study are spatial Autoregressive Model (SAR) and Spatial Error Model (SEM), The finding concludes that the SAR model is better used in spatial modeling. At the same time, provincial minimum wage, the average length of school or educational level, and population are factors that affect the labor force participation rate in Indonesia 2020.

Collaboration network of the authors

32 authors · 98 co-authorship links

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  • Universitas Sulawesi Tenggara
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Djihad WungguliAffiliation unknown3
Salmun K. NasibAffiliation unknown3
Nisky Imansyah YahyaAffiliation unknown2
Jefri N. IsaAffiliation unknown2
Stella JunusAffiliation unknown2
Lailany YahyaAffiliation unknown2
Arsalim ArsalimUniversitas Sulawesi Tenggara1
Humairah MuljabarUniversitas Sulawesi Tenggara1
Erfain ErfainAffiliation unknown1
Imran ImranAffiliation unknown1
Monalisa Herawati RumayarAffiliation unknown1
Muh. Ridawan AdnanAffiliation unknown1
Fauzan FauzanAffiliation unknown1
Dewi Rahmawaty IsaAffiliation unknown1
Rosna Ningsih BilondatuAffiliation unknown1
N. NurwanAffiliation unknown1
Moh Rizal HusainAffiliation unknown1
Resmawan ResmawanAffiliation unknown1
Muhammad Rezky F. PayuAffiliation unknown1
Ainun FatmawatiAffiliation unknown1
Ismail DjakariaAffiliation unknown1
La Ode NasharAffiliation unknown1
Amanda AdityaningrumAffiliation unknown1
Sri Indriani LadjaliAffiliation unknown1
Herlina JusufAffiliation unknown1
Muftih Alwi AliuAffiliation unknown1
Fahrezal ZubediAffiliation unknown1
Melisa HuntalaAffiliation 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) 
<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">PEMODELAN REGRESI SPASIAL DEPENDENSI PADA TINGKAT PARTISIASI ANGKATAN KERJA DI INDONESIA TAHUN 2020</dc:title>
	<dc:creator>Usali, Rahmayunda</dc:creator>
	<dc:creator>Nurwan, Nurwan</dc:creator>
	<dc:creator>Oroh, Franky Alfrits</dc:creator>
	<dc:creator>Payu, Muhammad Rezky Friesta</dc:creator>
	<dc:description xml:lang="en-US">This study discusses the regression modeling with spatial dependence to determine the factors affecting the labor force participation rate in Indonesia 2020. The spatial regression models used in this study are spatial Autoregressive Model (SAR) and Spatial Error Model (SEM), The finding concludes that the SAR model is better used in spatial modeling. At the same time, provincial minimum wage, the average length of school or educational level, and population are factors that affect the labor force participation rate in Indonesia 2020.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2021-12-01</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/3852</dc:identifier>
	<dc:identifier>10.30598/barekengvol15iss4pp687-696</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 687-696</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol15iss4year2021</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/3852/3575</dc:relation>
</oai_dc:dc>