The Impact of Digitalization on Women's Employment Participation in Indonesia: A Binary Logistic Regression Analysis

Authors

  • Tevina Carisa Herdinanda Universitas Muhammadiyah Malang
  • Happy Febrina Hariyani University of Muhammadiyah Malang, Indonesia

DOI:

https://doi.org/10.38035/dijefa.v6i2.4100

Keywords:

Working Women, Digitization, Sakernas, Binary Logistics Regression

Abstract

Women's employment in Indonesia has shown a substantial increase in recent years.
Women's participation in the workforce in Indonesia continues to grow, although there is still
a significant gap compared to men. This is driven by various factors such as digitalization,
increased access to education, and policies that support women's involvement in the world of
work. This study aims to identify and analyze the factors that most affect women's participation
in the world of work in Indonesia. Using secondary data from the 2023 National Labor Force
Survey (Sakernas) with individual observations, the publication of BPS Economic Growth, the
website of the Indonesian Digital Society Index, was analyzed using binary logistic regression.
The results of the study show that education, work experience, regional classification, and
economic growth have a significant positive effect on working women while marital status, job
training, and the Indonesian Digital Society Index have a significant negative effect on working
women. This research shows the importance of a holistic approach to women's empowerment
in the world of work, which includes increasing access to education and training, creating a
supportive work environment, and utilizing technology to open up wider job opportunities for
Indonesian women.

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Published

2025-04-20

How to Cite

Tevina Carisa Herdinanda, & Happy Febrina Hariyani. (2025). The Impact of Digitalization on Women’s Employment Participation in Indonesia: A Binary Logistic Regression Analysis. Dinasti International Journal of Economics, Finance &Amp; Accounting, 6(2), 902–913. https://doi.org/10.38035/dijefa.v6i2.4100