Analysis of mobile JKN application utility acceptance on behavioral intention of BPJS Kesehatan participants in Minasate’ne primary health center using the unified theory of acceptance and use of technology (UTAUT)

The development of digital technology in the healthcare sector has become a key factor in promoting efficiency and improving the quality of public services. One of the innovations introduced by BPJS Kesehatan to support digital transformation is the Mobile JKN application. This study aims to analyze the influence of four core constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT) model—performance expectancy, effort expectancy, social influence, and facilitating conditions—on behavioral intention in using the Mobile JKN application, as well as to examine the statistical significance of each variable’s effect. This research adopts a quantitative explanatory approach using multiple linear regression analysis. The sample was selected through a total sampling technique based on Mobile JKN users at the Minasate’ne Public Health Center in June, involving 67 respondents. The results indicate that performance expectancy, effort expectancy, and social influence have a significant effect on behavioral intention (p < 0.05), while facilitating conditions do not show a significant effect (p > 0.05). Simultaneously, all four variables significantly influence behavioral intention, with an R² value of 0.785. It is concluded that performance expectancy, effort expectancy, and social influence are significant factors influencing individuals’ intentions to use the Mobile JKN application, whereas facilitating conditions are not significant in this research context.