ARPHA Preprints, doi: 10.3897/arphapreprints.e109500
Demographic and socioeconomic determinants of internet usage in Indonesia
expand article infoWilson Rajagukguk, Adolf Heatubun, Medyawanti Pane
‡ Universitas Kristen Indonesia, Jakarta, Indonesia
Open Access
Abstract

Digital divide is relatively high in Indonesia. This study aimed to investigate the demographic and socioeconomic determinants of internet usage in Indonesia. The data used came from the results of the National Socioeconomic Survey in 2021. The unit analysis was population aged 15 years and above who had at least one digital gadget. The dependent variable was the number of internet usage. The independent variables included gender, age, number of household members, marital status, education, working status, place of dwelling, island of residence, and number of digital gadget type owned. Data analysis was used with univariate, bivariate and multivariate methods. Binary Logistic Regression model is used in multivariate analysis. The results of study indicated that higher internet usage was associated with being male, being younger, having smaller number of household members, being unmarried, having higher education, dwelling in urban areas, living in Java island, and owning more digital gadget types. These findings suggest the need to improve access to higher internet usage among women, older people, married individuals, rural dwellers, and Outer Java inhabitants, to promote family planning, to improve education, and to facilitate access to more digital gadgets in order to reduce digital divide and to boost 4.0 global competitiveness in Indonesia.Digital divide is relatively high in Indonesia. This study aimed to investigate the demographic and socioeconomic determinants of internet usage in Indonesia. The data used came from the results of the National Socioeconomic Survey in 2021. The unit analysis was population aged 15 years and above who had at least one digital gadget. The dependent variable was the number of internet usage. The independent variables included gender, age, number of household members, marital status, education, working status, place of dwelling, island of residence, and number of digital gadget type owned. Data analysis was used with univariate, bivariate and multivariate methods. Binary Logistic Regression model is used in multivariate analysis. The results of study indicated that higher internet usage was associated with being male, being younger, having smaller number of household members, being unmarried, having higher education, dwelling in urban areas, living in Java island, and owning more digital gadget types. These findings suggest the need to improve access to higher internet usage among women, older people, married individuals, rural dwellers, and Outer Java inhabitants, to promote family planning, to improve education, and to facilitate access to more digital gadgets in order to reduce digital divide and to boost 4.0 global competitiveness in Indonesia.

 

Keywords
Digital divide, Internet usage, National Socioeconomic Survey 2021, Univariate, Bivariate, Binary logistic regression, Socioeconomic determinant, Proximate determinants, Indonesia