Analysis of Factors Influencing the Intention-to-Use Child-Monitoring Health Applications with Technology Acceptance Model 3 (TAM 3) (Study Case: Sukabumi Regency)

In Indonesia, stunting which is caused by persistent malnutrition is a serious problem, particularly in areas with high rates of poverty. The Indonesian Central Statistics Agency reports that the growth retardation rate remains elevated, reaching 24.40 percent in 2021 (SSGI), especially in high-poverty rural and urban areas. The government wants to lower stunting rates by transforming the healthcare industry digitally in order to solve this problem. Nonetheless, there is still insufficient knowledge in the study field about the application of child-monitoring health applications. Using a survey method and a quantitative methodology, this study is theoretically underpinned by the Technology Acceptance Model 3 (TAM 3). The study population consists of parents, particularly pregnant mothers and mothers of toddlers, in Ciheulang Village, Cibadak District, Sukabumi, West Java, totaling 759 individuals, with a sample size of 262. The findings indicate that variables such as Experience, Image, and Perceived Usefulness significantly influence the plan to utilize the child-monitoring health application. For instance, Experience (H4) has a path coefficient of 0.422 and a t-statistic of 5.441. Conversely, Subjective Norm (H1) does not significantly impact Perceived Usefulness, also path coefficient of 0.049 and a t-statistic of 0.785. This research highlights the importance of enhancing user experience and perceived benefits to encourage application usage. The findings are expected to assist application developers in providing more effective services for stunting monitoring.