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The Probability of Migrant Workers Becoming Participants of BPJS for Employment

Journal of Economic Education · Vol. 12 No. 1 (2023) · pp. 84–91

DOI
10.15294/jeec.v12i1.72751
ISSN
2301-7341
Published
2023-08-08
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Protecting migrant workers' right to social security is essential, not only to ensure equality of treatment in social security for migrant workers but also to extend social security coverage to currently unprotected populations. Migrant workers have become one of the pillars of national economic growth and contributed significantly to state revenues and economic productivity, through high remittances. Therefore, the organizers of employment social security need to increase the probability of migrant workers becoming BPJS Employment participants. By using the logistic regression method and Sakernas data for August 2021, it was found that migrant workers with work contracts and BPJS for health membership have a higher tendency to become participants in employment social security. Recommendations for membership extension for migrant workers can be made with several alternatives such as, (1) justifying or adjusting payment schemes for migrant workers who work in the informal sector abroad (2) encouraging the expansion of the coverage of migrant workers, BPJS for Employment can carry out socialization of the program by collaborating with BP2TKI and Indonesian Migrant Worker Placement Agency (P3MI) (3) It is necessary to encourage employers to register their workers in employment social security, through document requirements for the distribution of migrant workers.

Collaboration network of the authors

40 authors · 109 co-authorship links · 6 across different organisations · showing the 40 most connected

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

  • State University of Semarang
  • Universitas Sumatera Utara
  • Universitas Media Nusantara Citra
  • Universitas Halu Oleo
  • Universiti Teknologi MARA
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
R Benny RiyantoAffiliation unknown3
Edi KurniawanUniversitas Sumatera Utara3
Talitha WidiatningrumAffiliation unknown3
Widiyanto WidiyantoAffiliation unknown3
Harjono HarjonoAffiliation unknown3
F. ‪Widhi MahatmantiAffiliation unknown3
Shanty OktaviliaAffiliation unknown3
Sri WardaniState University of Semarang3
Etty SoesilowatiAffiliation unknown2
Etty Puji LestariAffiliation unknown2
Arief YuliantoUniversitas Media Nusantara Citra2
Woro SumarniState University of Semarang2
Endang SusilaningsihState University of Semarang2
Fauzul AdzimAffiliation unknown2
Eko HandoyoAffiliation unknown2
Amin PujiatiAffiliation unknown2
Kardoyo KardoyoAffiliation unknown2
Moh Yasir AlimiAffiliation unknown2
Irawaty IrawatyUniversitas Halu Oleo2
Aldias BahatmakaAffiliation unknown2
Subiyanto SubiyantoState University of Semarang1
Nur Azis SalimState University of Semarang1
Setya Budi Arif PrabowoState University of Semarang1
Deyndrawan SutrisnoState University of Semarang1
Andika AnantyoState University of Semarang1
Dewi AnggrianiState University of Semarang1
M. DhiyaulkhaqState University of Semarang1
Nanik WijayatiState University of Semarang1
Kasmui KasmuiState University of Semarang1
D. NasekhahAffiliation unknown1
M. H. IsmailUniversiti Teknologi MARA1
Nana Kariada Tri MartutiState University of Semarang1
Nuni WidiartiState University of Semarang1
Budi AstutiAffiliation unknown1
Sungkowo SungkowoAffiliation unknown1
Yuan Maylia RosantiAffiliation unknown1
Rojja Maysa RohmahAffiliation 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://journal.unnes.ac.id/sju/index.php/jeec/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">The Probability of Migrant Workers Becoming Participants of BPJS for Employment</dc:title>
	<dc:creator>Prajanti, Sucihatiningsih Dian Wisika</dc:creator>
	<dc:creator>Rengga, Wara Dyah Pita</dc:creator>
	<dc:creator>Kurniawan, Cepi</dc:creator>
	<dc:description xml:lang="en-US">Protecting migrant workers' right to social security is essential, not only to ensure equality of treatment in social security for migrant workers but also to extend social security coverage to currently unprotected populations. Migrant workers have become one of the pillars of national economic growth and contributed significantly to state revenues and economic productivity, through high remittances. Therefore, the organizers of employment social security need to increase the probability of migrant workers becoming BPJS Employment participants. By using the logistic regression method and Sakernas data for August 2021, it was found that migrant workers with work contracts and BPJS for health membership have a higher tendency to become participants in employment social security. Recommendations for membership extension for migrant workers can be made with several alternatives such as, (1) justifying or adjusting payment schemes for migrant workers who work in the informal sector abroad (2) encouraging the expansion of the coverage of migrant workers, BPJS for Employment can carry out socialization of the program by collaborating with BP2TKI and Indonesian Migrant Worker Placement Agency (P3MI) (3) It is necessary to encourage employers to register their workers in employment social security, through document requirements for the distribution of migrant workers.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2023-08-08</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://journal.unnes.ac.id/sju/jeec/article/view/72751</dc:identifier>
	<dc:identifier>10.15294/jeec.v12i1.72751</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Economic Education; Vol 12 No 1 (2023): June 2023; 84-91</dc:source>
	<dc:source>2301-7341</dc:source>
	<dc:source>10.15294/jeec.v12i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/jeec/article/view/72751/24942</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Journal of Economic Education</dc:rights>
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