FAKTOR-FAKTOR YANG MEMENGARUHI INTENTION TO REUSE LAYANAN TELEMEDICINE : STUDI TERHADAP GENERASI Z PENGGUNA APLIKASI HALODOC
DOI:
https://doi.org/10.31004/prepotif.v9i2.46752Keywords:
Halodoc, intention to reuse, TAM, user satisfaction, UTAUT2Abstract
Penelitian ini dilakukan untuk mengetahui pengaruh performance expectancy, effort expectancy, social influence, price value, facilitating conditions, perceived usefulness, perceived ease of use terhadap intention to reuse yang dimediasi oleh user satisfaction. Pengumpulan data dilakukan dengan menggunakan purposive sampling terhadap responden yang memenuhi kriteria, yaitu pengguna aplikasi Halodoc yang berdomisili di Jabodetabek dan masuk ke dalam kelompok usia generasi Z dengan menyebarkan keusioner berisi 45 pertanyaan dengan Skala Likert 1 – 5. Sebanyak 114 responden yang memenuhi kriteria masuk ke dalam penelitian ini. Data kemudian dianalisis dengan metode PLS-SEM menggunakan aplikasi SmartPLS 4.1.1.2. Hasil penelitian ini menyatakan bahwa performance expectancy, dan facilitating conditions memberikan pengaruh positif tidak signifikan terhadap user satisfaction. Effort expectancy, dan social influence memberi pengaruh negatif secara tidak signifikan pada user satisfaction. Price value, perceived usefulness, dan perceived ease of use berpengaruh positif secara signifikan terhadap user satisfaction. Performance expectancy, price value, facilitating conditions, dan user satisfaction mempengaruhi positif secara tidak signifikan terhadap intention to reuse. Effort expectancy, dan perceived ease of use berpengaruh secara negatif tidak signifikan terhadap intention to reuse. Social influence dan perceived usefulness berpengaruh secara positif signifikan terhadap intention to reuse. User satisfaction sebagai variabel mediasi tidak memberikan pengaruh yang signifikan terhadap hubungan antara performance expectancy, effort expectancy, social influence, price value, facilitating conditions, perceived usefulness, perceived ease of use dengan intention to reuse.References
Alam, M. M. D., Alam, M. Z., Rahman, S. A., & Taghizadeh, S. K. (2021). Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach. Journal of Biomedical Informatics, 116. https://doi.org/10.1016/j.jbi.2021.103722
Alam, M. Z., Hu, W., & Barua, Z. (2018). Using the UTAUT Model to Determine Factors Affecting Acceptance and Use of Mobile Health (mHealth) Services in Bangladesh. 17(2), 137–172.
Alqudah, A. A., Al-Emran, M., & Shaalan, K. (2021). Technology acceptance in healthcare: A systematic review. Applied Sciences (Switzerland), 11(22). https://doi.org/10.3390/app112210537
Amin, R., Hossain, M. A., Uddin, M. M., Jony, M. T. I., & Kim, M. (2022a). Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model. Healthcare (Switzerland), 10(7). https://doi.org/10.3390/healthcare10071327
Amin, R., Hossain, M. A., Uddin, M. M., Jony, M. T. I., & Kim, M. (2022b). Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model. Healthcare (Switzerland), 10(7). https://doi.org/10.3390/healthcare10071327
Annur, C. M. (2022). The most widely used telemedicine services & health facilities in Indonesia. Databoks.Katadata.Co.Id. https://databoks.katadata.co.id/fasilitas-kesehatan/statistik/a42d36cd66cec74/layanan-telemedicine-yang-paling-banyak-digunakan-di-indonesia-apa-saja
Azizah, M. N., Suripto, & Septiani, W. (2024). Minat Menggunaan Layanan Telemedicine Halodoc pada Gen Z. Jurnal Manajemen Strategik Kewirausahaan, 4(2), 135–146. https://doi.org/10.37366/master.v4i2.1463
Faizal, A. (2021). The Influential Factors in the Modified Unified Theory of the Acceptance and Use of Technology on Customer Satisfaction for Adopting BJB Digi. Advances in Economics, Business, and Management Research, 187.
Hidayah, N. A., Utami, M. C., & Rizki, I. N. (2024). Behavioral Intentions of Generation Z and Millennial Users of Telemedicine: A UTAUT 2 Analysis from the Halodoc User Perspective. Journal of Information Systems and Informatics, 6(3), 1373–1399. https://doi.org/10.51519/journalisi.v6i3.786
Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101, 75–84. https://doi.org/10.1016/j.ijmedinf.2017.02.002
Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60, 101212. https://doi.org/10.1016/J.TECHSOC.2019.101212
Khan, Md. R., & Chaipoopirutana, S. (2020). Factors Influencing Users’ Behavioral Intention to Reuse Mobile Financial Services in Bangladesh. GATR Journal of Management and Marketing Review, 5(3), 155–169. https://doi.org/10.35609/jmmr.2020.5.3(4)
Kurniawan, A., Rahayu, A., Wibowo, L. A., & Hendrayati, H. (2021a). The Effects of Factors in Modified UTAUT on Millennial Generation Customer Satisfaction. Proceedings of the 5th Global Conference on Business, Management and Entrepreneurship (GCBME 2020), 187(Gcbme 2020), 398–401. https://doi.org/10.2991/aebmr.k.210831.079
Kurniawan, A., Rahayu, A., Wibowo, L. A., & Hendrayati, H. (2021b). The Effects of Factors in Modified UTAUT on Millennial Generation Customer Satisfaction. Advances in Economics, Business, and Management Research, 187.
Lee, W.-I., Fu, H.-P., Mendoza, N., & Liu, T.-Y. (2021). Determinants impacting user behavior towards emergency use intentions of m-health services in taiwan. Healthcare (Switzerland), 9(5). https://doi.org/10.3390/healthcare9050535
Megawati, S., Machmud, A., & Alfarizi, M. (2024). Telemedicine and transformative health access for millennials-Gen Z: PLS-SEM based behavioral exploration. Technology in Society, 79, 102714. https://doi.org/10.1016/J.TECHSOC.2024.102714
Muhtar. (2023, April 22). Mengenal 6 Macam Generasi di Indonesia Sesuai Tahun Lahir, Kamu Termasuk yang Mana? https://uici.ac.id/mengenal-6-macam-generasi-di-indonesia-sesuai-tahun-lahir-kamu-termasuk-yang-mana/
Oematan, M. E., Rahayu, S., & Dyah, J. (2024). The Effect of Perceived Usefulness and Perceived Ease of Use on Behavioral Intention Mediated by User Satisfaction in E-Commerce Users-The Effect of Perceived Usefulness and Perceived Ease of Use on Behavioral Intention Mediated by User Satisfaction in E-Commerce Users. Jurnal Ekonomi, 13. https://doi.org/10.54209/ekonomi.v13i01
Paramananda, K. A. S., & Sukaatmadja, I. P. G. (2024a). the Role of User Satisfaction in Mediating the Effect of Perceived Ease of Use and Perceived Usefulness on Reuse Intention (Study of Tiket.Com Users in Denpasar City). International Journal of Social Service and Research, 4(7), 1–12. https://doi.org/10.46799/ijssr.v4i7.858
Paramananda, K. A. S., & Sukaatmadja, I. P. G. (2024b). The Role of User Satisfaction in Mediating The Effect of Perceived Ease of Use and Perceived Usefulness on Reuse Intention (Study of Tiket.com Users in Denpasar City). International Journal of Social Service and Research, 04(07). https://ijssr.ridwaninstitute.co.id/
Praditya, L. I. H., Az-Zahra, H. M., & Arwani, I. (2021). Identifikasi Masalah Usability pada Aplikasi Mobile Halodoc dengan Menggunakan Metode Usability Testing. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 5(9), 3678–3687. http://j-ptiik.ub.ac.id
Pramudita, E., Achmadi, H., & Nurhaida, H. (2023). Determinants of behavioral intention toward telemedicine services among Indonesian Gen-Z and Millenials: a PLS–SEM study on Alodokter application. Journal of Innovation and Entrepreneurship, 12(1). https://doi.org/10.1186/s13731-023-00336-6
Riani, E. (2023). Pengaruh Object-Based Attitude Terhadap Behavior Beliefs Dan Behavior Attitude Pada Penggunaan Aplikasi Halodoc. Universitas Pelita Harapan.
Riani, E., & Ardi, A. (2023). The Impact Of Object-Based Attitude Towards Behavior Belief And Behavior Attitude On The Use Of Halodoc Application. Jurnal Ekonomi, 12(03), 2023. http://ejournal.seaninstitute.or.id/index.php/Ekonomi
Saputri, A., Listiana, E., Barkah, B., & Fitriana, A. (2024). The Influence of Performance Expectancy and Price Value on Favorable Behavioral Intentions Through Satisfaction With Viu Platform. ECo-Buss, 7(2), 1175–1188. https://doi.org/10.32877/eb.v7i2.1782
Stevani, & Bernarto, I. (2024). the Effect of Performance Expectancy, Perceived Need, Perceived Value and Perceived Ease of Use on Patient Satisfaction and Continuance Intention in the Halodoc Telemedicine Service Application in Jabodetabek in 2023. JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis Dan Inovasi Universitas Sam Ratulangi)., 11(1), 460–471. https://doi.org/10.35794/jmbi.v11i1.54142
Utami, D. S., Satria Wika, F., & Betthy, H. S. (2024). Determinants of Behavioral Intention Toward Telemedicine Services in Indonesia Post-Pandemic COVID-19. Hertinur Betthy S, 6(09), 9.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
Vidal-Silva, C., Sánchez-Ortiz, A., Serrano-Malebrán, J., Arriagada, V., Flores, M., Godoy, M., & Vargas, C. (2024a). Social influence, performance expectancy, and price value as determinants of telemedicine services acceptance in Chile. Heliyon, 10(5), e27067. https://doi.org/10.1016/J.HELIYON.2024.E27067
Vidal-Silva, C., Sánchez-Ortiz, A., Serrano-Malebrán, J., Arriagada, V., Flores, M., Godoy, M., & Vargas, C. (2024b). Social influence, performance expectancy, and price value as determinants of telemedicine services acceptance in Chile. Heliyon, 10(5), e27067. https://doi.org/10.1016/j.heliyon.2024.e27067
Wang, Q., Khan, M. S., & Khan, M. K. (2021). Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic. International Journal of Research in Business and Social Science (2147- 4478), 10(2), 1–11. https://doi.org/10.20525/ijrbs.v10i2.1045
Zhang, Q., Zhang, R., Lu, X., & Zhang, X. (2023). What drives the adoption of online health communities? An empirical study from patient-centric perspective. BMC Health Services Research, 23(1). https://doi.org/10.1186/s12913-023-09469-6
Zuiderwijk, A., Janssen, M., & Dwivedi, Y. K. (2015). Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly, 32(4), 429–440. https://doi.org/10.1016/j.giq.2015.09.005
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Ivana Agustin Gozali, Ardi Kho

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).







