Acceptance of Mobile JKN Application Technology Among Older Adults Reviewed from the Technology Acceptance Model in Supporting Gerontic Nursing Services
Keywords:
Mobile JKN, elderly, Technology Acceptance Model, gerontic nursing, technology acceptanceAbstract
The Mobile JKN application is a digital service innovation developed by BPJS Kesehatan to facilitate public access to healthcare services online. Among the elderly, technology acceptance becomes a challenge due to age limitations, technological abilities, and adaptation to digital systems. This study aimed to analyze the technology acceptance of the Mobile JKN application among the elderly based on the Technology Acceptance Model (TAM) in supporting gerontic nursing services in Humbang Hasundutan Regency in 2025. This research used a quantitative method with a cross sectional design. The population consisted of elderly users of the Mobile JKN application in Humbang Hasundutan Regency. The sampling technique used purposive sampling with a total sample of 379 respondents. Data were collected through questionnaires and analyzed using Structural Equation Modeling–Partial Least Square (SEM-PLS) with SmartPLS software. The results showed that perceived usefulness significantly affected elderly user satisfaction with a p-value of 0.000 and t-statistic of 13.547. Perceived ease of use significantly affected elderly user satisfaction with a p-value of 0.000 and t-statistic of 4.828. Perceived usefulness significantly affected continuance intention to use the Mobile JKN application with a p-value of 0.000 and t-statistic of 7.034. Perceived ease of use also significantly affected continuance intention with a p-value of 0.000 and t-statistic of 4.483. Elderly user satisfaction significantly affected continuance intention with a p-value of 0.03 and t-statistic of 2.177. Based on the results, it can be concluded that the technology acceptance of the Mobile JKN application among the elderly is influenced by perceived usefulness and perceived ease of use in supporting gerontic nursing services in Humbang Hasundutan Regency in 2025.
References
Davis, F.D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
Ghozali, I. 2016. Aplikasi Analisis Multivariate dengan Program IBM SPSS. Semarang: Badan Penerbit Universitas Diponegoro.
Hair, J.F., Hult, G.T.M., Ringle, C.M., dan Sarstedt, M. 2017. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). California: Sage Publications.
Kementerian Kesehatan Republik Indonesia. 2022. Profil Kesehatan Indonesia Tahun 2022. Jakarta: Kemenkes RI.
Muninjaya, A.A.G. 2015. Manajemen Mutu Pelayanan Kesehatan. Jakarta: EGC.
Notoatmodjo, S. 2018. Metodologi Penelitian Kesehatan. Jakarta: Rineka Cipta.
Sugiyono. 2019. Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Alfabeta.
Venkatesh, V., dan Davis, F.D. 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204.
World Health Organization. 2021. Ageing and Health. Geneva: WHO.
BPJS Kesehatan. 2024. Panduan Penggunaan Aplikasi Mobile JKN. Jakarta: BPJS Kesehatan.













