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Digital technology and job quality: multidimensional insights from the labor market in East Java

Jurnal Perspektif Pembiayaan dan Pembangunan Daerah · Vol. 14 No. 1 (2026) · pp. 58–73

DOI
10.22437/ppd.v14i1.45877
ISSN
2355-8520, 2338-4603
Published
2026-04-30
Publisher
Program Magister Ilmu Ekonomi Pascasarjana Universitas Jambi
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

Digital technology transformation has a significant impact on labor market dynamics, both in terms of job quantity and quality. This study aims to analyze the extent to which digital technology influences workers’ job quality in East Java Province using a multidimensional approach. The measurement method used in this study is the Job Quality Index (JQI) developed by the World Bank, which assesses four dimensions of job quality: income, security, benefits, and job satisfaction. This study uses 2023 Sakernas data, comprising 39,425 observations. The analytical method employed is binary logistic regression. Robustness tests across various model specifications are conducted to ensure the stability of the results. The findings show that using digital technology increases the likelihood of achieving better job quality by up to 2.3 times compared to non-users. Other individual characteristics, such as education, training, gender, and age, also positively influence workers’ job quality. Conversely, participation in the Pre-Employment Card (Prakerja) Program and living in urban areas are found to have negative effects. This study highlights the importance of digital literacy and inclusion, as well as human capital investment through education and competency-based training aligned with labor market needs.

Keywords

Collaboration network of the authors

40 authors · 89 co-authorship links · 2 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
  • National Research and Innovation Agency
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ellianawati EllianawatiState University of Semarang5
Bambang SubaliAffiliation unknown3
Muhamad Adji Rahardian UtamaAffiliation unknown2
Anita Carolina RajagukgukAffiliation unknown2
Hadi SusantoNational Research and Innovation Agency2
Ian YuliantiAffiliation unknown2
Alvian AlvianAffiliation unknown2
Sunarno SunarnoAffiliation unknown2
Budhi AkbarAffiliation unknown2
Aulia WidyariniAffiliation unknown1
Sri MuljaningsihAffiliation unknown1
Mufti Kandaga AbidinAffiliation unknown1
Effendi LimbongAffiliation unknown1
Dwi Nikita SariAffiliation unknown1
Ade Irma SetiyaniAffiliation unknown1
Jaino JainoAffiliation unknown1
Anisa KusumastutiAffiliation unknown1
Kurniana KurnianaAffiliation unknown1
Saiful RidloState University of Semarang1
Asrul AsrulAffiliation unknown1
Andreas Priyono Budi PrasetyoState University of Semarang1
Yunita RachmawatiAffiliation unknown1
Fayeza CamaliaAffiliation unknown1
Azhari MunifAffiliation unknown1
Rendy SetiawanAffiliation unknown1
Lisa Nur AuliaAffiliation unknown1
Mosik MosikAffiliation unknown1
Isa AkhlisState University of Semarang1
Ligi Putra ArfiansyahAffiliation unknown1
Nila Prasetya AryaniAffiliation unknown1
Zain AfrianAffiliation unknown1
Ummi Nuzulul FitrohAffiliation unknown1
Ani RusilowatiState University of Semarang1
Putut MarwotoState University of Semarang1
Mery NovitaAffiliation unknown1
Hanif Diatma WidyasenoAffiliation unknown1
Nila ZahidahAffiliation 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://online-journal.unja.ac.id/index.php/JES/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Digital technology and job quality: multidimensional insights from the labor market in East Java</dc:title>
	<dc:creator xml:lang="en">Putri, Jatu Mawar Widhiarti</dc:creator>
	<dc:creator xml:lang="en">Pratomo, Devanto Shasta</dc:creator>
	<dc:creator xml:lang="en">Susilo, Susilo</dc:creator>
	<dc:subject xml:lang="en">Digital technology</dc:subject>
	<dc:subject xml:lang="en">Human capital</dc:subject>
	<dc:subject xml:lang="en">Job quality index</dc:subject>
	<dc:subject xml:lang="en">Labor market</dc:subject>
	<dc:description xml:lang="en">Digital technology transformation has a significant impact on labor market dynamics, both in terms of job quantity and quality. This study aims to analyze the extent to which digital technology influences workers’ job quality in East Java Province using a multidimensional approach. The measurement method used in this study is the Job Quality Index (JQI) developed by the World Bank, which assesses four dimensions of job quality: income, security, benefits, and job satisfaction. This study uses 2023 Sakernas data, comprising 39,425 observations. The analytical method employed is binary logistic regression. Robustness tests across various model specifications are conducted to ensure the stability of the results. The findings show that using digital technology increases the likelihood of achieving better job quality by up to 2.3 times compared to non-users. Other individual characteristics, such as education, training, gender, and age, also positively influence workers’ job quality. Conversely, participation in the Pre-Employment Card (Prakerja) Program and living in urban areas are found to have negative effects. This study highlights the importance of digital literacy and inclusion, as well as human capital investment through education and competency-based training aligned with labor market needs.</dc:description>
	<dc:publisher xml:lang="en">Program Magister Ilmu Ekonomi  Pascasarjana Universitas Jambi</dc:publisher>
	<dc:date>2026-04-30</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://online-journal.unja.ac.id/JES/article/view/45877</dc:identifier>
	<dc:identifier>10.22437/ppd.v14i1.45877</dc:identifier>
	<dc:source xml:lang="en">Jurnal Perspektif Pembiayaan dan Pembangunan Daerah; Vol. 14 No. 1 (2026): Jurnal Perspektif Pembiayaan dan Pembangunan Daerah; 58-73</dc:source>
	<dc:source>2355-8520</dc:source>
	<dc:source>2338-4603</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/JES/article/view/45877/24194</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Jatu Mawar Widhiarti Putri, Devanto Shasta Pratomo, Susilo Susilo</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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