Determinants of Workplace Internet Use among Indonesian Workers: Probit and Logit Analysis Using SAKERNAS 2023

Rendra Dwi Saputra; Kukuh Arisetyawan; Irien Kamaratih; Axellina Muara Setyanti; Muhammad Andika Zalfiandra; Muhammad Syahril Mustofa; Muhammad Rafi Putra Ibrahim; Aldan Ardana Ahmad

doi:10.61255/jeemba.v4i5.1298

Authors

Rendra Dwi Saputra Universitas Negeri Surabaya, Indonesia
Kukuh Arisetyawan Universitas Negeri Surabaya, Indonesia
Irien Kamaratih BPS Statistic Surabaya, Indonesia
Axellina Muara Setyanti Universitas Brawijaya, Indonesia
Muhammad Andika Zalfiandra Universitas Negeri Surabaya, Indonesia
Muhammad Syahril Mustofa Universitas Negeri Surabaya, Indonesia
Muhammad Rafi Putra Ibrahim Universitas Negeri Surabaya, Indonesia
Aldan Ardana Ahmad Universitas Negeri Surabaya, Indonesia

DOI:

https://doi.org/10.61255/jeemba.v4i5.1298

Keywords:

Digital Technology Adoption, Internet Use, Probit, SAKERNAS 2023, Mincerian Earnings Function

Abstract

Purpose – This study analyzes the determinants of workplace internet use among Indonesian workers, treated here as one measurable dimension of digital technology adoption, using SAKERNAS August 2023 (N =465,204).

Design/methodology/approach – Binary probit and logit models, weighted using BPS individual sampling weights with the full linearized variance estimator (strata and PSU), and Average Marginal Effects (AME) for twelve explanatory variables.

Finding/Results – Education ≥ senior high school again has the largest effect once BPS sampling weights are applied (AME = 0.222; p < 0.01), followed by urban location (AME = 0.122), Kartu Prakerja awareness (AME = 0.137), and employee/wage-worker status (AME = 0.056). Disability reduces adoption probability (AME = -0.070; OR = 0.663). Internet use is associated with 53.6 percent higher earnings (exact semi-log transformation of β = 0.429), rising to 61.7 percent for internet users who have also attained senior high school education or above; both are conditional associations rather than a causal wage return. The weighted model achieves acceptable in-sample fit (AUC = 0.82; Pseudo-R² = 0.24).

Originality/Value – To our knowledge, one of the first nationally representative micro-econometric studies of workplace internet adoption in Indonesia; identifies disability as a new determinant with double-penalty implications for digital labor market inclusion.

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