USER ACCEPTANCE OF MOBILE-JKN: INSIGHTS FROM THE TECHNOLOGY ACCEPTANCE MODEL
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Background: Technological advancements in healthcare have driven BPJS Kesehatan Indonesia to develop the Mobile JKN application to enhance accessibility, efficiency, and quality of services. Despite its potential benefits, the implementation of this application faces various challenges, such as application errors, differing levels of digital literacy, and data security issues, necessitating an evaluation of its adoption and acceptance.
Aims: To analyse the public acceptance of Mobile JKN based on the Technology Acceptance Model (TAM) variable while also exploring user experiences towards the application.
Methods: A descriptive-analytical approach with a cross-sectional design. Data were collected through a questionnaire developed based on the TAM model, involving 406 respondents across Indonesia. Data analysis was performed using a regression linear test with SPSS after all basic assumptions were met.
Results: Perceived Ease of Use, Perceived Usefulness, and Attitude Toward Use individually and simultaneously impact Actual System Use (Sig. 0.000; R-Square 0.827). Respondents generally answered “Agree” to all TAM indicators, with mean scores of 4.20 for Perceived Usefulness, 4.16 for Perceived Ease of Use, 4.25 for Attitude Toward Use, and 4.33 for Actual System Use. Most users accessed the app through self-access (48%), frequently used features were membership information (28%), and encountered issues such as application errors (25%).
Conclusion: The app was deemed relevant, accurate, easy to use, and beneficial. To enhance public acceptance, BPJS Kesehatan should focus on developing a user-friendly Mobile JKN app by incorporating key TAM factors, optimizing popular features, improving technical stability, and regularly addressing user feedback to ensure effective health administration and service delivery.
Keywords: Adoption, Application, BPJS Kesehatan, Mobile JKN, TAM
Ahmad, A. et al. (2020) ‘Understanding Factors Influencing Elderly Diabetic Patients’ Continuance Intention to Use Digital Health Wearables: Extending the Technology Acceptance Model (TAM)’, Journal of Open Innovation: Technology, Market, and Complexity, 6(3), p. 81. Available at: https://doi.org/10.3390/joitmc6030081.
Amirrudin, M., Nasution, K. and Supahar, S. (2020) ‘Effect of Variability on Cronbach Alpha Reliability in Research Practice’, Jurnal Matematika, Statistika dan Komputasi, 17(2), pp. 223–230. Available at: https://doi.org/10.20956/jmsk.v17i2.11655.
BPS (2024) Penduduk, Laju Pertumbuhan Penduduk, Distribusi Persentase Penduduk, Kepadatan Penduduk, Rasio Jenis Kelamin Penduduk Menurut Provinsi, 2024 - Tabel Statistik - Badan Pusat Statistik Indonesia. Available at: https://www.bps.go.id/id/statistics-table/3/V1ZSbFRUY3lTbFpEYTNsVWNGcDZjek53YkhsNFFUMDkjMw==/penduduk-laju-pertumbuhan-penduduk-distribusi-persentase-penduduk-kepadatan-penduduk-rasio-jenis-kelamin-penduduk-menurut-provinsi.html?year=2024 (Accessed: 27 August 2024).
Cabatan, M.C.C., Grajo, L.C. and Sana, E.A. (2020) ‘Development and Content Validation of the Adaptation Process in Academia Questionnaire for Occupational Therapy Educators’, Acta Medica Philippina, 54(2). Available at: https://doi.org/10.47895/amp.v54i2.1537.
Darma, B. (2021) Statistika Penelitian Menggunakan SPSS. Bogor, Jawa Barat: Guepedia.
Darusalam, D. et al. (2023) ‘An Evaluation Framework for the Impact of Digitalization on the Quality of Governance’, International Journal of Public Administration in the Digital Age, 10(1), pp. 1–21. Available at: https://doi.org/10.4018/IJPADA.332880.
Davis, F.D. and Granić, A. (2024) The Technology Acceptance Model: 30 Years of TAM. USA: Springer.
Gordon, W.J. et al. (2020) ‘Beyond validation: getting health apps into clinical practice’, NPJ Digital Medicine, 3(14).
Handayani, P.W. et al. (2018) ‘Critical success factors for mobile health implementation in Indonesia’, Heliyon, 4(11), p. e00981. Available at: https://doi.org/10.1016/j.heliyon.2018.e00981.
Harsono, H., Sugiharto, S. and Rinayati, R. (2021) ‘Persepsi Peserta Terhadap Aplikasi Mobile JKN Berbasis Technology Acceptance Model Di Klinik Pratama Surya Medika Semarang’, Jurnal Ilmiah Manajemen Kesatuan, 9(2), pp. 191–200. Available at: https://doi.org/10.37641/jimkes.v9i2.793.
Kalayou, M.H., Endehabtu, B.F. and Tilahun, B. (2020) ‘The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings’, Journal of Multidisciplinary Healthcare, Volume 13, pp. 1827–1837. Available at: https://doi.org/10.2147/JMDH.S284973.
KC, S. et al. (2023) ‘Uptake and adoption of the NHS App in England: an observational study’, British Journal of General Practice, 73(737), pp. e932–e940. Available at: https://doi.org/10.3399/BJGP.2022.0150.
Khotimah, N. (2022) ‘Pengaruh Kualitas Sistem, Kualitas Layanan, dan Kualitas Informasi pada Aplikasi Mobile JKN terhadap Kepuasan Peserta BPJS Kesehatan di Wilayah Jabodetabek’, Jurnal Akuntansi dan Manajemen Bisnis, 2(2), pp. 69–76. Available at: https://doi.org/10.56127/jaman.v2i2.182.
Kurniabudi, Assegaff, S. and Sharipuddin (2014) ‘A Literature Review: Acceptance Models for e-learning Implementation in Higher Institution’. Available at: https://doi.org/10.13140/2.1.4259.8720.
Kwak, C. et al. (2020) ‘Development of the hearing rehabilitation for older adults (HeRO) healthcare mobile application and its likely utility for elderly users’, International Journal of Environmental Research and Public Health, 17(11). Available at: https://doi.org/10.3390/ijerph17113998.
Liu, Q., Geertshuis, S. and Grainger, R. (2020) ‘Understanding academics’ adoption of learning technologies: A systematic review’, Springer Computers & Education, 151(103857).
Lumi, W. et al. (2023) ‘Edukasi tentang Penggunaan Aplikasi Mobile JKN RSUD Anugerah Tomohon’, Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN), 4(3), pp. 1620–1626.
Mahmudiono, T. and Laksono, A.D. (2021) ‘Disparity in the Hospitals Utilization among Regions in Indonesia’, Open Access Macedonian Journal of Medical Sciences, 9(E), pp. 1461–1466. Available at: https://doi.org/10.3889/oamjms.2021.7304.
Nadal, C., Sas, C. and Doherty, G. (2020) ‘Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement’, J Med Internet Res, 22(7).
Nugroho, H.S.W., Notobroto, H.B. and Rosyanti, L. (2021) ‘Acceptance model of a mandatory health information system in Indonesia’, Healthcare Informatics Research, 27(2), pp. 127–136. Available at: https://doi.org/10.4258/HIR.2021.27.2.127.
Nurul Jannah, A. et al. (2023) ‘Analisis Penggunaan Aplikasi Mobile JKN dengan Metode EUCS’, Remik: Riset dan E-Jurnal Manajemen Informatika Komputer, 7(3). Available at: https://doi.org/10.33395/remik.v7i3.12826.
Okolo, C.A. et al. (2024) ‘Reviewing The Impact of Health Information Technology on Healthcare Management Efficiency’, International Medical Science Research Journal, 4(4).
Okwonu, F.Z., Asaju, B.L. and Arunaye, F.I. (2020) ‘Breakdown Analysis of Pearson Correlation Coefficient and Robust Correlation Methods’, IOP Conference Series: Materials Science and Engineering, 917(012065).
Pratama, A., Ridwandodo, D. and Amini, A. (2021) ‘Analisis Faktor Penerimaan APlikasi Mobile JKN Menggunakan Model UTAUT2’, in Prosiding Seminar Nasional Teknologi dan Sistem Informasi, pp. 234–240.
Putro, A.K. and Takahashi, Y. (2024) ‘Entrepreneurs’ creativity, information technology adoption, and continuance intention: Mediation effects of perceived usefulness and ease of use and the moderation effect of entrepreneurial orientation’, Heliyon, 10(3), p. e25479. Available at: https://doi.org/10.1016/j.heliyon.2024.e25479.
Rohman, N.A., Mukhsin, M. and Ganika, G. (2023) ‘Penggunaan Technology Acceptance Model Dalam Analisis Actual Use Penggunaan E-Commerce Tokopedia Indonesia’, Jurnal Ekonomi Manajemen Akuntansi Keuangan Bisnis Digital, 2(1), pp. 25–36.
Romero Jeldres, M., Díaz Costa, E. and Faouzi Nadim, T. (2023) ‘A review of Lawshe’s method for calculating content validity in the social sciences’, Frontiers in Education, 8. Available at: https://doi.org/10.3389/feduc.2023.1271335.
Santoso, A. (2023) ‘Rumus Slovin : Panacea Masalah Ukuran Sampel ?’, Suksma: Jurnal Psikologi Universitas Sanata Dharma, 4(2), pp. 24–43. Available at: https://doi.org/10.24071/suksma.v4i2.6434.
Siregar, O.S., Ismah, Z. and Hasibuan, R. (2024) ‘Analysis of Public Attitudes Regarding the Use of JKN Mobile’, Journal La Medihealtico, 5(3), pp. 533–544. Available at: https://doi.org/10.37899/journallamedihealtico.v5i3.1349.
Suryadi, T. et al. (2023) ‘Content Validity for the Research Instrument Regarding Teaching Methods of the Basic Principles of Bioethics’, Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education, 12(2), p. 186. Available at: https://doi.org/10.22146/jpki.77062.
Syahputro, R.E. et al. (2024) ‘Digitalization Strategy in Improving the Effectiveness of BPJS Health Services in Medan City through the JKN Mobile Application’, JurnalMargin, 1(2).
Syamsul, B., Amri and Siregar, A. (2022) ‘Analisis Kualitas Pelayanan Aplikasi Mobile JKN BPJS Kesehatan Menggunakan Metode Service Quality (SERVQUAL)’, Industrial Engineering Journal, 11(1). Available at: https://doi.org/10.53912/iej.v10i2.721.
Trisna, W.V., Daniati, S.E. and Sari, T.P. (2020) ‘Evaluasi Penggunaan Aplikasi Primary Care (P-Care) BPJS Terhadap Pelayanan Kesehatan di Puskesmas Se-Kota Pekanbaru dengan Menggunakan Metode Technology Acceptance Model (TAM)’, INTECOMS: Journal of Information Technology and Computer Science, 3(2), pp. 152–161. Available at: https://doi.org/10.31539/intecoms.v3i2.1596.
Ubaidillah, N.Z. et al. (2020) ‘Students’ Perception of the Use of Technology in Education’, Environment-Behaviour Proceedings Journal, 5(15), pp. 117–122. Available at: https://doi.org/10.21834/ebpj.v5i15.2374.
Venkatesh, Thong and Xu (2012) ‘Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology’, MIS Quarterly, 36(1), p. 157. Available at: https://doi.org/10.2307/41410412.
Wenang, S. et al. (2021) ‘Availability and Accessibility of Primary Care for the Remote, Rural, and Poor Population of Indonesia’, Frontiers in Public Health, 9. Available at: https://doi.org/10.3389/fpubh.2021.721886.
Yusoff, M.S.B. (2019) ‘ABC of Content Validation and Content Validity Index Calculation’, Education in Medicine Journal, 11(2), pp. 49–54. Available at: https://doi.org/10.21315/eimj2019.11.2.6.
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