Analysis of User Acceptance of the Mobile Application of National Health Insurance Using the UTAUT Model
Abstract
Development technology in the field health own positive impact. On the field Health services are available developed mobile applications Forgive Health services to public by online. The Mobile JKN Application has objective For give service health to community and make it easier power health For give service optimally. On research This analyze about reception user The Mobile JKN application uses the Unified Theory of Acceptance and Use of Technology (UTAUT). Respondent data obtained during spread questionnaire that is as many as 110 respondents. Respondent data Then analyzed using Structural Equation Model (SEM) research results This show that Performance Expectancy (PE) and Social Influence (SI) have an influence significant to Behavioral Intention (BI). However, for Effort Expectancy (EE) it is not influential significant to Behavioral Intention (BI) with t-test values are 2.224, 2.224, and 1.198 respectively. Third variable the can explain influence to Behavioral Intention (BI) was 34.3%. Whereas for Facilitating Conditions (FC) and Behavioral Intention (BI) influence significant towards Use Behavior (UB) with t-test values are 4.013 and 5.636 respectively. As well as second variable the can explain influence on Use Behavior (UB) of 59.3%. So on research explain reception user to use Mobile JKN application with using UTAUT.
References
Abolfazli, S., Sanaei, Z., Gani, A., Xia, F., & Yang, L. T. (2014). Rich mobile applications: genesis, taxonomy, and open issues. Journal of network and computer applications, 40, 345-362. https://doi.org/10.1016/j.jnca.2013.09.009
Agyei, C., & Razi, Ö. (2022). The effect of extended UTAUT model on EFLs’ adaptation to flipped classroom. Education and Information Technologies, 27(2), 1865-1882. https://doi.org/10.1007/s10639-021-10657-2
Alfitriana, N. (2021). Pengaruh Motivasi Kerja Terhadap Kinerja Agen Asuransi. Jurnal Al-Shifa Bimbingan Konseling Islam, 1(2), 124–130.
Alrawashdeh, T. A., Elbes, M. W., Almomani, A., ElQirem, F., & Tamimi, A. (2020). User acceptance model of open source software: an integrated model of OSS characteristics and UTAUT. Journal of Ambient Intelligence and Humanized Computing, 11, 3315-3327. https://doi.org/10.1007/s12652-019-01524-7
Aurellia, T., & Perdana, H. (2020). Penerapan Structural Equation Modeling Partial Least Square Pada Kepuasan Masyarakat Terhadap Pelayanan Publik Kepolisian Kalimantan Barat. Bimaster : Buletin Ilmiah Matematika, Statistika Dan Terapannya, 9(4), 475–482. https://doi.org/10.26418/bbimst.v9i4.41825
Bhatia, R. (2021). Telehealth and COVID-19: Using technology to accelerate the curve on access and quality healthcare for citizens in India. Technology in society, 64, 101465. https://doi.org/10.1016/j.techsoc.2020.101465
Blut, M., & Wang, C. (2020). Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage. Journal of the Academy of Marketing Science, 48, 649-669. https://doi.org/10.1007/s11747-019-00680-8
Bujnowska-Fedak, M. M., & Węgierek, P. (2020). The impact of online health information on patient health behaviours and making decisions concerning health. International journal of environmental research and public health, 17(3), 880. https://doi.org/10.3390/ijerph17030880
Chandra, F. S., & Novita, D. (2020). Analisis Penerimaan Masyarakat Terhadap Layanan Transportasi Online Menggunakan UTAUT (Unified Theory of Acceptance and Use of Technology). Jurnal Teknologi Sistem Informasi, 1(1), 23–33. https://doi.org/10.35957/jtsi.v1i1.319
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745-783. https://doi.org/10.1007/s10490-023-09871-y
Fawwaz, M. B., Nur Muhammad, S., Hukama, N. R., Novanda, N. P., & Renata, K. (2023). Analisis Penerimaan Penggunaan Aplikasi Mobile PeduliLindungi dengan Menggunakan UTAUT. Jurnal Information System & Artificial Intelligence, 3(2), 186–193. https://doi.org/10.26486/jisai.v3i2.92
Gil-Garcia, J. R., & Flores-Zúñiga, M. Á. (2020). Towards a comprehensive understanding of digital government success: Integrating implementation and adoption factors. Government Information Quarterly, 37(4), 101518. https://doi.org/10.1016/j.giq.2020.101518
Herlinawati, Banowati, L., & Revilia, D. (2021). Tingkat Kepuasan Masyarakat Terhadap Pendaftaran Online Pada Aplikasi Mobile JKN. Health Care : Jurnal Kesehatan, 10(1), 78–84. https://doi.org/10.36763/healthcare.v10i1.114
Jainuri, Nuraisah, & Hermilasari, Y. (2021). Perancangan Dan Pembuatan Aplikasi Mobile Point Of Sale Pada Outlet Makaroni Judes Berbasis Android. Jurnal Ipsikom, 9(2), 44–52. https://doi.org/https://doi.org/10.58217/ipsikom.v9i2.201
Jiang, X., Xie, H., Tang, R., Du, Y., Li, T., Gao, J., ... & Xie, G. (2021). Characteristics of online health care services from China’s largest online medical platform: cross-sectional survey study. Journal of Medical Internet Research, 23(4), e25817. https://doi.org/10.2196/25817
Juniar, K., Anugra, A. D., & Huda, N. (2023). Evaluasi Usability pada Aplikasi DANA dengan Menggunakan Metode Usability Testing. Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Lubuklinggau, 5(2), 108–115. https://doi.org/10.52303/jb.v5i2.103
Kustanto, N. S., Yulita, I. N., & Sarathan, I. (2021, October). Sentiment Analysis of Indonesia’s National Health Insurance Mobile Application using Naïve Bayes Algorithm. In 2021 International Conference on Artificial Intelligence and Big Data Analytics (pp. 38-42). IEEE. https://doi.org/10.1109/ICAIBDA53487.2021.9689696
Lukaraja, M., Pesulessy, E. R., Lesnussa, Y. A., & Matdoan, M. Y. (2020). Structural Equation Modeling ( Sem ) Untuk Menganalisis Faktor- ( Persero ) Terhadap Kepuasan Pelanggan Di Desa Buano Utara Sructural Equation Modeling ( SEM ) to Analyze The Factors Influncing The Ministry of Service PT . PLN ( Persero ) to Customer Sati. Variance Journal of Statistics and Its Applications, 2(2), 93–102. https://doi.org/10.30598/variancevol2iss2page93-102
Mulyadi, E., Wibisono, A., & Herli, M. (2021). Penerapan Metode SEM (STRUCTURAL EQUATION MODEL) Dalam Aplikasi Bidang Pendidikan, Sosial, dan Kesehatan. Jurnal Pengabdian Masyarakat, 2(2), 35–39.
Mulyani, D., & Nugraha, J. (2022). Penerapan Model UTAUT, Personal Innonvativeness dan Perceived Financial Cost dalam penggunaan E-Learning selama Pandemi Covid-19. Jurnal Pendidikan Tambusai, 6(2), 12978–12997. https://doi.org/10.31004/jptam.v6i2.4515
Permana, G. P. L., & Dewi, L. P. K. D. (2019). Analisis Penerimaan Dan Penggunaan Aplikasi Ovo Dengan Menggunakan Unified Theory of Acceptance and Use of Technology (Utaut) Di Kota Denpasar. Jurnal Ilmiah Akuntansi Dan Bisnis, 4(2), 186–203. https://doi.org/10.38043/jiab.v4i2.2331
Preuss, T. (2012). Mobile applications, functional analysis, and the customer experience. In The IFPUG Guide to IT and Software Measurement (pp. 408-433). New York, NY, USA: Auerbach. https://doi.org/10.1201/b11884-30
Putra, D. M. (2022). The Effect of using the Mobile Application of JKN Health Social Security Implementing Agency on JKN-KIS Participant Satisfaction in the City of Padang using the Unified Theory of Acceptance and use of Technology Model. Enrichment: Journal of Management, 12(4), 2825-2837. https://doi.org/10.35335/enrichment.v12i4.731
Qiang, C. Z., Yamamichi, M., Hausman, V., Altman, D., & Unit, I. S. (2011). Mobile applications for the health sector. Washington: World Bank, 2.
Ramadani, R. M., Takdir, M., & Lutfi, M. (2023). A Implementation of the National Health Insurance (JKN) Mobile Applicationin Sinjai Regency. Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi, 20(2), 208-217. https://doi.org/10.31113/jia.v20i2.974
Ridiarsih, R., Nugroho, T. A., Ahsani, M. N., & Pasaribu, P. N. (2024). SOCIAL HEALTH INSURANCE ADMINISTRATION BODY PARTICIPANTS’SATISFACTION ON DECISION TO USE MOBILE JKN APPLICATION. Riset: Jurnal Aplikasi Ekonomi Akuntansi dan Bisnis, 6(1), 104-119. https://doi.org/10.37641/riset.v6i1.2070
Sen, K., Prybutok, G., & Prybutok, V. (2022). The use of digital technology for social wellbeing reduces social isolation in older adults: A systematic review. SSM-population health, 17, 101020. https://doi.org/10.1016/j.ssmph.2021.101020
Silva, B. M., Rodrigues, J. J., de la Torre Díez, I., López-Coronado, M., & Saleem, K. (2015). Mobile-health: A review of current state in 2015. Journal of biomedical informatics, 56, 265-272. https://doi.org/10.1016/j.jbi.2015.06.003
Syamsuar, D., & Al Reza, S. (2022). Analysis of user acceptance of the mobile application of National Health Insurance using the Unified Theory of Acceptance and Use of Technology (UTAUT) Method. Jurnal TAM (Technology Acceptance Model), 13(2), 106–113. https://jurnal.ftikomibn.ac.id/index.php/JurnalTam/article/view/1246
Wajdi, M. F., Inan, D. I., Juita, R., & Sanglise, M. (2024). STUDY ON THE QUALITY OF SERVICE OF THE MOBILE-BASED JKN APPLICATION: A SENTIMENT ANALYSIS APPROACH. JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), 9(3), 1506-1517. https://doi.org/10.29100/jipi.v9i3.5757
Copyright (c) 2024 Journal La Multiapp

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.