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References
- Admassu, W., & Gorems, K. (2024). Analyzing health service employees’ intention to use e-health systems in southwest Ethiopia: using UTAUT-2 model. BMC Health Services Research, 24(1), 1136.
- Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
- Andriyana, A., Astuti, W., Faida, E. W., & Apriliansyah, U. (2024). Tingkat penggunaan rekam medis elektronik dengan metode Unified Theory of Acceptance and Use of Technology (UTAUT) di Rumah Sakit Mata Undaan Surabaya. Indonesian of Health Information Management Journal (INOHIM), 12(2), 109–116. https://doi.org/10.47007/inohim.v12i2.586
- Ayalew, M. B. (2017). Self-Medication Practice in Ethiopia: A Systematic Review. Patient Preference and Adherence, 11, 401–413. https://doi.org/10.2147/PPA.S131496
- Badan Pusat Statistik. (2025). Persentase Penduduk yang Mengobati Sendiri Selama Sebulan Terakhir (Persen). Badan Pusat Statistik. https://www.bps.go.id/id/statistics-table/2/MTk3NCMy/persentase-penduduk-yang-mengobati-sendiri-selama-sebulan-terakhir.html
- Candra, S., Frederica, E., Putri, H. A., & Loang, O. K. (2025). The UTAUT Approach to Indonesia’s Behavioral Intention to Use Mobile Health Apps. Journal of Science and Technology Policy Management, 16(5), 892–911. https://doi.org/10.1108/JSTPM-10-2022-0175
- Chayomchai, A., Phonsiri, W., Junjit, A., Boongapim, R., & Suwannapusit, U. (2020). Factors affecting acceptance and use of online technology in Thai people during COVID-19 quarantine time. Management Science Letters, 10(13), 3009–3016.
- Eysenbach, G. (2001). What Is e-Health? Journal of Medical Internet Research, 3(2), e20. doi:10.2196/jmir.3.2.e20
- Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
- Fauzi, R., & Febriyani, W. (2024). Analysis of Factors Influencing the Acceptance of Health Monitoring Applications Using UTAUT2: A Case Study in Sukabumi Regency. 2024 International Conference on Digital Business and Technology Management (ICONDBTM), 1–6. https://doi.org/10.1109/ICONDBTM64135.2024.11122842
- Fitrianie, S., Horsch, C., Beun, R. J., Griffioen-Both, F., & Brinkman, W.-P. (2021). Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis. Journal of Medical Systems, 45(12), 110. https://doi.org/10.1007/s10916-021-01785-w
- Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models With Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
- Gu, D., Khan, S., Khan, I. U., Khan, S. U., Xie, Y., Li, X., & Zhang, G. (2021). Assessing the Adoption of e-Health Technology in a Developing Country: An Extension of the UTAUT Model. SAGE Open, 11(3). https://doi.org/10.1177/21582440211027565
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to Use and How to Report the Results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
- Harahap, N. A., Khairunnisa, K., & Tanuwijaya, J. (2017). Patient Knowledge and Rationality of Self-Medication in Three Pharmacies of Panyabungan City, Indonesia. Jurnal Sains Farmasi & Klinis, 3(2), 186–192. https://doi.org/10.29208/jsfk.2017.3.2.124
- Haris, M. S., & Lisnasari, B. R. W. (2024). Self-Medication Practice, Attitude, and Knowledge of Health Science Students in Indonesia: A Cross Sectional Study. Pharmaceutical Journal of Indonesia, 10(1), 8–17. https://doi.org/10.21776/ub.pji.2024.010.01.2
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
- Kasulkar, A. A., & Gupta, M. (2015). Self Medication Practices Among Medical Students of a Private Institute. Indian Journal of Pharmaceutical Sciences, 77(2), 178–182.
- Kwee, V., Istijanto, I., & Widjojo, H. (2022). Understanding the Determinants of m-Health Adoption in Indonesia. Jurnal Manajemen Teori dan Terapan, 15(3), 408–422. https://doi.org/10.20473/jmtt.v15i3.40142
- Laka, L. C. P., Soegiantoro, D. H., & Atmaja, S. P. (2025). Drug Information and Counselling Services in Self-Medication at Apotek X Sleman. Jurnal EduHealth, 16(2), 796–809. https://ejournal.seaninstitute.or.id/index.php/healt/article/view/6686?utm
- Meisari, W. A., Widyaningrum, N., Muhlizardy, M., Tri Utami, R., & Aulia, S. N. (2025). Determinants of Public Interest in Telemedicine Use With UTAUT and Social Cognitive Model Approaches. Jurnal Ilmiah Kesehatan (JIKA), 7(1), 137–152. https://doi.org/10.36590/jika.v7i1.1271
- Mensah, I. K., Zeng, G., & Mwakapesa, D. S. (2022). The Behavioral Intention to Adopt Mobile Health Services: The Moderating Impact of Mobile Self-Efficacy. Frontiers in Public Health, 10, 1020474. https://doi.org/10.3389/fpubh.2022.1020474
- Octavius, G. S., & Antonio, F. (2021). Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence From Indonesian Customers. International Journal of Telemedicine and Applications, 2021, 6698627. https://doi.org/10.1155/2021/6698627
- Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 587–632). Springer. https://doi.org/10.1007/978-3-319-57413-4_15
- Thanthrige, A., Lu, B., Sako, Z., & Wickramasinghe, N. (2025). Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis. Journal of Medical Internet Research, 27, e64524. https:doi:10.2196/64524
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
- World Health Organization. (2025). Global Strategy on Digital Health 2020–2027. World Health Organization. https://www.who.int/publications/i/item/9789240116870
References
Admassu, W., & Gorems, K. (2024). Analyzing health service employees’ intention to use e-health systems in southwest Ethiopia: using UTAUT-2 model. BMC Health Services Research, 24(1), 1136.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Andriyana, A., Astuti, W., Faida, E. W., & Apriliansyah, U. (2024). Tingkat penggunaan rekam medis elektronik dengan metode Unified Theory of Acceptance and Use of Technology (UTAUT) di Rumah Sakit Mata Undaan Surabaya. Indonesian of Health Information Management Journal (INOHIM), 12(2), 109–116. https://doi.org/10.47007/inohim.v12i2.586
Ayalew, M. B. (2017). Self-Medication Practice in Ethiopia: A Systematic Review. Patient Preference and Adherence, 11, 401–413. https://doi.org/10.2147/PPA.S131496
Badan Pusat Statistik. (2025). Persentase Penduduk yang Mengobati Sendiri Selama Sebulan Terakhir (Persen). Badan Pusat Statistik. https://www.bps.go.id/id/statistics-table/2/MTk3NCMy/persentase-penduduk-yang-mengobati-sendiri-selama-sebulan-terakhir.html
Candra, S., Frederica, E., Putri, H. A., & Loang, O. K. (2025). The UTAUT Approach to Indonesia’s Behavioral Intention to Use Mobile Health Apps. Journal of Science and Technology Policy Management, 16(5), 892–911. https://doi.org/10.1108/JSTPM-10-2022-0175
Chayomchai, A., Phonsiri, W., Junjit, A., Boongapim, R., & Suwannapusit, U. (2020). Factors affecting acceptance and use of online technology in Thai people during COVID-19 quarantine time. Management Science Letters, 10(13), 3009–3016.
Eysenbach, G. (2001). What Is e-Health? Journal of Medical Internet Research, 3(2), e20. doi:10.2196/jmir.3.2.e20
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
Fauzi, R., & Febriyani, W. (2024). Analysis of Factors Influencing the Acceptance of Health Monitoring Applications Using UTAUT2: A Case Study in Sukabumi Regency. 2024 International Conference on Digital Business and Technology Management (ICONDBTM), 1–6. https://doi.org/10.1109/ICONDBTM64135.2024.11122842
Fitrianie, S., Horsch, C., Beun, R. J., Griffioen-Both, F., & Brinkman, W.-P. (2021). Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis. Journal of Medical Systems, 45(12), 110. https://doi.org/10.1007/s10916-021-01785-w
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models With Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Gu, D., Khan, S., Khan, I. U., Khan, S. U., Xie, Y., Li, X., & Zhang, G. (2021). Assessing the Adoption of e-Health Technology in a Developing Country: An Extension of the UTAUT Model. SAGE Open, 11(3). https://doi.org/10.1177/21582440211027565
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to Use and How to Report the Results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Harahap, N. A., Khairunnisa, K., & Tanuwijaya, J. (2017). Patient Knowledge and Rationality of Self-Medication in Three Pharmacies of Panyabungan City, Indonesia. Jurnal Sains Farmasi & Klinis, 3(2), 186–192. https://doi.org/10.29208/jsfk.2017.3.2.124
Haris, M. S., & Lisnasari, B. R. W. (2024). Self-Medication Practice, Attitude, and Knowledge of Health Science Students in Indonesia: A Cross Sectional Study. Pharmaceutical Journal of Indonesia, 10(1), 8–17. https://doi.org/10.21776/ub.pji.2024.010.01.2
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Kasulkar, A. A., & Gupta, M. (2015). Self Medication Practices Among Medical Students of a Private Institute. Indian Journal of Pharmaceutical Sciences, 77(2), 178–182.
Kwee, V., Istijanto, I., & Widjojo, H. (2022). Understanding the Determinants of m-Health Adoption in Indonesia. Jurnal Manajemen Teori dan Terapan, 15(3), 408–422. https://doi.org/10.20473/jmtt.v15i3.40142
Laka, L. C. P., Soegiantoro, D. H., & Atmaja, S. P. (2025). Drug Information and Counselling Services in Self-Medication at Apotek X Sleman. Jurnal EduHealth, 16(2), 796–809. https://ejournal.seaninstitute.or.id/index.php/healt/article/view/6686?utm
Meisari, W. A., Widyaningrum, N., Muhlizardy, M., Tri Utami, R., & Aulia, S. N. (2025). Determinants of Public Interest in Telemedicine Use With UTAUT and Social Cognitive Model Approaches. Jurnal Ilmiah Kesehatan (JIKA), 7(1), 137–152. https://doi.org/10.36590/jika.v7i1.1271
Mensah, I. K., Zeng, G., & Mwakapesa, D. S. (2022). The Behavioral Intention to Adopt Mobile Health Services: The Moderating Impact of Mobile Self-Efficacy. Frontiers in Public Health, 10, 1020474. https://doi.org/10.3389/fpubh.2022.1020474
Octavius, G. S., & Antonio, F. (2021). Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence From Indonesian Customers. International Journal of Telemedicine and Applications, 2021, 6698627. https://doi.org/10.1155/2021/6698627
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 587–632). Springer. https://doi.org/10.1007/978-3-319-57413-4_15
Thanthrige, A., Lu, B., Sako, Z., & Wickramasinghe, N. (2025). Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis. Journal of Medical Internet Research, 27, e64524. https:doi:10.2196/64524
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
World Health Organization. (2025). Global Strategy on Digital Health 2020–2027. World Health Organization. https://www.who.int/publications/i/item/9789240116870