Main Article Content
Abstract
Penelitian ini bertujuan untuk menguji pengaruh personalisasi digital terhadap kepuasan pengguna platform digital kesehatan SatuSehat, dengan nilai digital yang dirasakan, keterlibatan pengguna, dan kepercayaan sebagai variabel mediasi. Menggunakan pendekatan kuantitatif dengan analisis PLS-SEM, penelitian ini melibatkan responden pengguna aktif SatuSehat. Hasil analisis menunjukkan bahwa personalisasi digital berpengaruh signifikan terhadap nilai digital yang dirasakan, yang kemudian secara positif memengaruhi keterlibatan dan kepercayaan pengguna. Selanjutnya, baik keterlibatan maupun kepercayaan berkontribusi terhadap peningkatan kepuasan pengguna. Temuan ini memberikan kontribusi teoritis dalam memahami peran nilai digital sebagai mekanisme mediasi dalam model perilaku pengguna layanan digital kesehatan. Dari sisi praktis, pengelola SatuSehat disarankan untuk meningkatkan fitur personalisasi dan menciptakan pengalaman digital yang relevan dan bernilai guna mendorong keterlibatan, membangun kepercayaan, dan meningkatkan kepuasan pengguna. Keterbatasan penelitian ini terletak pada konteks tunggal platform dan pendekatan kuantitatif murni, sehingga disarankan adanya studi lanjutan dengan pendekatan campuran dan cakupan platform yang lebih luas.
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References
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References
An, G. K., & Ngo, T. T. A. (2025). AI-powered personalized advertising and purchase intention in Vietnam’s digital landscape: The role of trust, relevance, and usefulness. Journal of Open Innovation: Technology, Market, and Complexity, 11(3). https://doi.org/10.1016/j.joitmc.2025.100580
Azhari Ilyas, A., Astyandini, B., Ruspita, M., Fajar Saputra, I., Rekam Medis dan Informasi Kesehatan, J., Kemenkes Semarang, P., Tirto Agung, J., Tengah, J., & Kebidanan, J. (2024). SOSIALISASI PLATFORM SATUSEHAT BERBASIS DIGITAL DAN TERINTEGRASI UNTUK MENDUKUNG LAYANAN PRIORITAS KESEHATAN NASIONAL. Jurnal Peduli Masyarakat, 6(1), 35–40. https://doi.org/https://doi.org/10.37287/jpm.v6i1.2508
Bitrián, P., Buil, I., & Catalán, S. (2021). Enhancing user engagement: The role of gamification in mobile apps. Journal of Business Research, 132, 170–185. https://doi.org/10.1016/j.jbusres.2021.04.028
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Dağ, K., Çavuşoğlu, S., & Durmaz, Y. (2024). The effect of immersive experience, user engagement and perceived authenticity on place satisfaction in the context of augmented reality. Library Hi Tech, 42(4), 1331–1346. https://doi.org/10.1108/LHT-10-2022-0498
Dennis Cook, R., & Forzani, L. (2023). On the role of partial least squares in path analysis for the social sciences. Journal of Business Research, 167. https://doi.org/10.1016/j.jbusres.2023.114132
Dhagarra, D., Goswami, M., & Kumar, G. (2020). Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective. International Journal of Medical Informatics, 141. https://doi.org/10.1016/j.ijmedinf.2020.104164
Eg, R., Demirkol Tønnesen, Ö., & Tennfjord, M. K. (2023). A scoping review of personalized user experiences on social media: The interplay between algorithms and human factors. In Computers in Human Behavior Reports (Vol. 9). Elsevier B.V. https://doi.org/10.1016/j.chbr.2022.100253
Gálvez-Ruiz, P., Calabuig, F., Grimaldi-Puyana, M., González-Serrano, M. H., & García-Fernández, J. (2023). The effect of perceived quality and customer engagement on the loyalty of users of Spanish fitness centres. Academia Revista Latinoamericana de Administracion, 36(4), 445–462. https://doi.org/10.1108/ARLA-01-2023-0014
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021a). Evaluation of Reflective Measurement Models. In Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Classroom Companion (pp. 75–90). https://doi.org/10.1007/978-3-030-80519-7_4
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021b). Evaluation of the Structural Model. In Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Classroom Companion (pp. 115–138). https://doi.org/10.1007/978-3-030-80519-7_6
Hassan, N., Abdelraouf, M., & El-Shihy, D. (2025). The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce. Future Business Journal, 11(1). https://doi.org/10.1186/s43093-025-00476-z
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. https://doi.org/10.1007/s11747-014-0403-8
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Kock, N. (2017). Common Method Bias: A Full Collinearity Assessment Method for PLS-SEM. In H. Latan & R. Noonan (Eds.), Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications (pp. 245–257). Springer International Publishing. https://doi.org/10.1007/978-3-319-64069-3_11
Kock, N. (2021). Harman’s single factor test in PLS-SEM: Checking for common method bias. In Data Analysis Perspectives Journal (Vol. 2, Issue 2). https://www.scriptwarp.com,
Krejnus, M., Repková Štofková, K., Štofková, J., Štofková, Z., Loučanová, E., Poliaková, A., & Šujanská, L. (2024). Measuring Efficiency and Satisfaction in the Context of Digital Transformation. Administrative Sciences, 14(9). https://doi.org/10.3390/admsci14090217
Kurnia, A., & Chan, S. (2025). The Role of Customer Perceived Value in Mediating the Influence of Digital Personalization and Social Media Interaction on Repeat Purchase Intention of Consumers of Packaged Ground Coffee in Aceh. 3(1), 16–31. https://doi.org/https://doi.org/10.24815/manis.v3i1.47160
Kurniadi, H., & Rana, J. A. S. (2023). The power of trust: How does consumer trust impact satisfaction and loyalty in Indonesian digital business? Innovative Marketing, 19(2), 236–249. https://doi.org/10.21511/im.19(2).2023.19
Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information and Management, 57(3). https://doi.org/10.1016/j.im.2019.103197
Liu, B. (2004). Trust Theory (pp. 137–190). https://doi.org/10.1007/978-3-540-39987-2_4
Luo, C., Hasan, N. A. M., & Zamri bin Ahmad, A. M. (2024). Exploring Satisfaction and Trust as Key Drivers of e-Government Continuance Intention: Evidence from China for Sustainable Digital Governance. Sustainability (Switzerland), 16(24). https://doi.org/10.3390/su162411068
Madanian, S., Nakarada-Kordic, I., Reay, S., & Chetty, T. (2023). Patients’ perspectives on digital health tools. PEC Innovation, 2. https://doi.org/10.1016/j.pecinn.2023.100171
Magno, F., Cassia, F., & Ringle, C. M. (2024). A brief review of partial least squares structural equation modeling (PLS-SEM) use in quality management studies. TQM Journal, 36(5), 1242–1251. https://doi.org/10.1108/TQM-06-2022-0197
Marvi, R., Foroudi, P., & AmirDadbar, N. (2025). Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration. International Journal of Information Management, 83. https://doi.org/10.1016/j.ijinfomgt.2025.102908
Mencarelli, R., & Lombart, C. (2017). Influences of the perceived value on actual repurchasing behavior: Empirical exploration in a retailing context. Journal of Retailing and Consumer Services, 38, 12–21. https://doi.org/10.1016/j.jretconser.2017.04.008
Menon, V., & Muraleedharan, A. (2020). Internet-based surveys: Relevance, methodological considerations and troubleshooting strategies. In General Psychiatry (Vol. 33, Issue 5). BMJ Publishing Group. https://doi.org/10.1136/gpsych-2020-100264
Mlekus, L., Bentler, D., Paruzel, A., Kato-Beiderwieden, A. L., & Maier, G. W. (2020). How to raise technology acceptance: user experience characteristics as technology-inherent determinants. Gruppe. Interaktion. Organisation. Zeitschrift Fur Angewandte Organisationspsychologie, 51(3), 273–283. https://doi.org/10.1007/s11612-020-00529-7
Ng, S. C., Sweeney, J. C., & Plewa, C. (2020). Customer engagement: A systematic review and future research priorities. Australasian Marketing Journal, 28(4), 235–252. https://doi.org/10.1016/j.ausmj.2020.05.004
Noor, U., Mansoor, M., & Shamim, A. (2024). Customers create customers!–Assessing the role of perceived personalization, online advertising engagement and online users’ modes in generating positive e-WOM. Asia-Pacific Journal of Business Administration, 16(2), 392–409. https://doi.org/10.1108/APJBA-11-2021-0569
Obiegbu, C. J., & Larsen, G. (2025). Algorithmic personalization and brand loyalty: An experiential perspective. Marketing Theory, 25(2), 199–219. https://doi.org/10.1177/14705931241230041
O’Brien, H. L., Cairns, P., & Hall, M. (2018). A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form. International Journal of Human Computer Studies, 112, 28–39. https://doi.org/10.1016/j.ijhcs.2018.01.004
Oesterreich, T. D., Anton, E., Hettler, F. M., & Teuteberg, F. (2024). What drives individuals’ trusting intention in digital platforms? An exploratory meta-analysis. Management Review Quarterly. https://doi.org/10.1007/s11301-024-00477-2
Park, Y., Ko, E., & Do, B. (2023). The perceived value of digital fashion product and purchase intention: the mediating role of the flow experience in metaverse platforms. Asia Pacific Journal of Marketing and Logistics, 35(11), 2645–2665. https://doi.org/10.1108/APJML-11-2022-0945
Putra, R. L., Setiawan, M., Hussein, A. S., & Yuniarinto, A. (2022). Perceived Digital Value Toward Continuous Intention to Use Among Mobile Payment Users During Pandemic Outbreak. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.892821
Reimer, T. (2023). Environmental factors to maximize social media engagement: A comprehensive framework. Journal of Retailing and Consumer Services, 75. https://doi.org/10.1016/j.jretconser.2023.103458
Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10). https://doi.org/10.1016/j.heliyon.2019.e02690
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