From Crisis to Recovery: Understanding the Impact of COVID-19 on Indonesian Employment Dynamics

This research analyzes the impact of the economic disruption caused by the COVID-19 pandemic on Indonesia’s labor market by utilizing data from SAKERNAS, or the National Labor Force Survey, for 2020 and 2021. A logistic regression model is used to analyze the impact of sociodemographic factors, job-related variables, and the Kartu Prakerja (a pre-employment program focused on training and skill development) on unemployment, labor force participation, and reduced working hours caused by the economic disruption of COVID-19. The findings underscore the enduring repercussions of the pandemic on employment landscapes, with pronounced impacts observed among older workers, married individuals, less educated workers, and urban residents. The manufacturing and service sectors experienced more significant implications than agriculture, revealing sector-specific challenges. Kartu Prakerja influenced working hour reductions in 2021, showing the effects of evolving government intervention. Increased Internet use was linked to reduced working hours, signaling the need for accelerated digital skill programs for jobs dependent on Internet use.

Authors

Publication Details

Journal
Journal of Population and Social Studies
Published
2025-02-22
DOI
https://doi.org/10.25133/jpssv342026.004
Citations
1
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
3.13
Controls
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article

From Crisis to Recovery: Understanding the Impact of COVID-19 on Indonesian Employment Dynamics

Lilik Sugiharti, Miguel Angel Esquivias, Neny Aditina
1 citations
Journal of Population and Social Studies
COVID-19 Pandemic Impacts
3.13
article

From Crisis to Recovery: Understanding the Impact of COVID-19 on Indonesian Employment Dynamics

Lilik Sugiharti, Miguel Angel Esquivias, Neny Aditina
article en
1 citations

Abstract

This research analyzes the impact of the economic disruption caused by the COVID-19 pandemic on Indonesia’s labor market by utilizing data from SAKERNAS, or the National Labor Force Survey, for 2020 and 2021. A logistic regression model is used to analyze the impact of sociodemographic factors, job-related variables, and the Kartu Prakerja (a pre-employment program focused on training and skill development) on unemployment, labor force participation, and reduced working hours caused by the economic disruption of COVID-19. The findings underscore the enduring repercussions of the pandemic on employment landscapes, with pronounced impacts observed among older workers, married individuals, less educated workers, and urban residents. The manufacturing and service sectors experienced more significant implications than agriculture, revealing sector-specific challenges. Kartu Prakerja influenced working hour reductions in 2021, showing the effects of evolving government intervention. Increased Internet use was linked to reduced working hours, signaling the need for accelerated digital skill programs for jobs dependent on Internet use.

Journal of Population and Social StudiesVol. 34
Openalex Percentile: Top 10%
COVID-19 Pandemic Impacts
3.13
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From Crisis to Recovery: Understanding the Impact of COVID-19 on Indonesian Employment Dynamics — Lilik Sugiharti, Miguel Angel Esquivias, et al. · Journal of Population and Social Studies (2025) | TGRS Research Map | TGRS