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Employment Social Protection for Indonesian Migrant Workers in South Korea: Probability and Policy Review

Jurnal Abdimas · Vol. 28 No. 1 (2024) · pp. 50–57

DOI
10.15294/mkgfrc44
ISSN
2503-1252, 1410-2765
Published
2024-06-28
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The Government-to-Government (G2G) program significantly increases the number of Indonesian Migrant Workers (PMI) in Korea. As a developed country, South Korea is committed to protecting all workers in its territory, including migrant workers from Indonesia. However, the employment social security of the South Korean government is not fully able to cover the risks and needs of PMI. Protecting migrant workers' rights to social security is important. It is also the responsibility of the Indonesian government through BPJS Employment, not only to ensure equal treatment in social security for migrant workers but also to expand social security coverage for populations that are currently unprotected. Therefore, it is important for employment social security administrators to increase the probability of migrant workers becoming BPJS Employment participants. Using the logistic regression method and Sakernas data for August 2021, it was found that migrant workers who work in the formal sector, with work contracts, and have BPJS Health membership have a higher tendency to become Employment Social Security participants.

Keywords

Collaboration network of the authors

40 authors · 86 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 Methodist Indonesia
  • Universitas Media Nusantara Citra
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Pramesti DewiAffiliation unknown4
R Benny RiyantoAffiliation unknown3
Dewi MustikaningtyasAffiliation unknown3
Widiyanto WidiyantoAffiliation unknown3
Apik Budi SantosoAffiliation unknown3
Shanty OktaviliaAffiliation unknown3
Amin RetnoningsihAffiliation unknown3
Christina LitaayAffiliation unknown3
Etty SoesilowatiAffiliation unknown2
Etty Puji LestariAffiliation unknown2
Arief YuliantoUniversitas Media Nusantara Citra2
Aprillia FindayaniAffiliation unknown2
Andi Irwan BenardiAffiliation unknown2
Mohammad SyifauddinAffiliation unknown2
Fauzul AdzimAffiliation unknown2
Eko HandoyoAffiliation unknown2
Amin PujiatiAffiliation unknown2
Kardoyo KardoyoAffiliation unknown2
Moh Yasir AlimiAffiliation unknown2
Sri NgabektiState University of Semarang2
Rimbun SiringoringoUniversitas Methodist Indonesia1
SutarmanAffiliation unknown1
Dedy ArisandiUniversitas Sumatera Utara1
Erna Budhiarti NababanUniversitas Sumatera Utara1
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
Saifu SaifuAffiliation unknown1
abdul samanUniversitas Halu Oleo1
Iradhatullah RahimAffiliation unknown1
Bahruddin BahruddinAffiliation unknown1
Sukmawati SukmawatiAffiliation unknown1
Suherman SuhermanAffiliation unknown1
Nur HapsaAffiliation 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/journals/abdimas/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">Employment Social Protection for Indonesian Migrant Workers in South Korea: Probability and Policy Review</dc:title>
	<dc:creator xml:lang="en">Prajanti, Sucihatiningsih Dian Wisika</dc:creator>
	<dc:creator xml:lang="en">Kurniawan, Edi</dc:creator>
	<dc:creator xml:lang="en">Widiatningrum, Talitha</dc:creator>
	<dc:subject xml:lang="en">Employment Social Security, Logit, PMI, G2G, South Korea</dc:subject>
	<dc:description xml:lang="en">The Government-to-Government (G2G) program significantly increases the number of Indonesian Migrant Workers (PMI) in Korea. As a developed country, South Korea is committed to protecting all workers in its territory, including migrant workers from Indonesia. However, the employment social security of the South Korean government is not fully able to cover the risks and needs of PMI. Protecting migrant workers' rights to social security is important. It is also the responsibility of the Indonesian government through BPJS Employment, not only to ensure equal treatment in social security for migrant workers but also to expand social security coverage for populations that are currently unprotected. Therefore, it is important for employment social security administrators to increase the probability of migrant workers becoming BPJS Employment participants. Using the logistic regression method and Sakernas data for August 2021, it was found that migrant workers who work in the formal sector, with work contracts, and have BPJS Health membership have a higher tendency to become Employment Social Security participants.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-06-28</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/abdimas/article/view/8339</dc:identifier>
	<dc:identifier>10.15294/mkgfrc44</dc:identifier>
	<dc:source xml:lang="en">Jurnal Abdimas; Vol. 28 No. 1 (2024): June 2024; 50-57</dc:source>
	<dc:source>2503-1252</dc:source>
	<dc:source>1410-2765</dc:source>
	<dc:source>10.15294/2mrsfq46</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/abdimas/article/view/8339/664</dc:relation>
</oai_dc:dc>