Patient Age: A Determining Factor in Mobile JKN Adoption

Authors

  • Susi Arianti Universitas Esa Unggul
  • Hosizah Markam Universitas Esa Unggul
  • Nauri Anggita Temesvari Universitas Esa Unggul
  • Tria Saras Pertiwi Universitas Esa Unggul

DOI:

https://doi.org/10.35870/jtik.v10i4.6975

Keywords:

JKN Mobile Adoption, Demographic Characteristics, Digital Health Transformation

Abstract

The Mobile JKN application represents a significant national initiative to modernize health insurance services in Indonesia, yet adoption rates remain suboptimal despite near-universal population coverage. This study examined the influence of patient demographic characteristics on Mobile JKN utilization for outpatient registration at RSUD Sejiran Setason, a regional hospital in Bangka Belitung. A quantitative cross-sectional study was conducted with 345 respondents selected through accidental sampling. Data were collected using a structured questionnaire measuring four demographic variables (age, gender, education, occupation) and Mobile JKN usage status. Binary logistic regression analysis was employed to determine predictor effects on adoption behavior. Mobile JKN adoption was 38.60%, indicating substantial underutilization. Among demographic predictors, only age demonstrated significant positive influence (p = 0.006, Exp(B) = 1.023), with each additional year increasing adoption likelihood by 2.3%. Gender (p = 0.633), education (p = 0.947), and occupation (p = 0.449) showed no significant effects. The demographic model explained merely 4.4% of variance (Nagelkerke R² = 0.044), suggesting that unmeasured factors substantially determine adoption behavior. Age positively predicts Mobile JKN adoption, contradicting conventional digital divide assumptions, while other demographic characteristics prove insufficient for predicting digital health platform utilization. Implementation strategies should transcend demographic targeting and address systemic, psychological, and technological determinants to achieve equitable digital health transformation in regional Indonesian healthcare settings.

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Author Biographies

  • Susi Arianti, Universitas Esa Unggul

    Program Studi Terapan Manajemen Informasi Kesehatan, Fakultas Ilmu Kesehatan, Universitas Esa Unggul, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta, Indonesia.

  • Hosizah Markam, Universitas Esa Unggul

    Program Studi Terapan Manajemen Informasi Kesehatan, Fakultas Ilmu Kesehatan, Universitas Esa Unggul, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta, Indonesia.

  • Nauri Anggita Temesvari, Universitas Esa Unggul

    Program Studi Terapan Manajemen Informasi Kesehatan, Fakultas Ilmu Kesehatan, Universitas Esa Unggul, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta, Indonesia.

  • Tria Saras Pertiwi, Universitas Esa Unggul

    Program Studi Terapan Manajemen Informasi Kesehatan, Fakultas Ilmu Kesehatan, Universitas Esa Unggul, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta, Indonesia.

References

Al-Nuaimi, M. N., & Al-Emran, M. (2021). Learning management systems and technology acceptance models: A systematic review. Education and Information Technologies 2021 26:5, 26(5), 5499–5533. https://doi.org/10.1007/S10639-021-10513-3

Al-Rahmi, A. M., Shamsuddin, A., Alturki, U., Aldraiweesh, A., Yusof, F. M., Al-Rahmi, W. M., & Aljeraiwi, A. A. (2021). The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education. Sustainability 2021, Vol. 13, Page 7770, 13(14), 7770. https://doi.org/10.3390/SU13147770

Angraini, W., Yanuarti, R., Samidah, I., Febriawati, H., & Agustinawati, Z. (2025). Education Through Ownership of the JKN (National Health Insurance of Indonesia) Mobile Application. Jurnal Kesehatan Prima, 19(2), 106–118. https://doi.org/10.32807/JKP.V19I2.1807

Dahlia, M. S., Sangkot, H. S., & Akbar, P. S. (2024). Hubungan Pengetahuan Masyarakat Dengan Penggunaan Aplikasi Mobile JKN di Puskesmas Kendalsari. Jurnal Pendidikan Teknologi Informasi (Jukanti), 7(2), 210–219. https://ojs.cbn.ac.id/index.php/jukanti/article/view/1311

Damanik, F. S., Widayanti, A. W., & Wiedyaningsih, C. (2024). User Acceptance Of Mobile JKN: Insights From The Technology Acceptance Model. Indonesian Journal of Health Administration, 12(2), 206–217. https://e-journal.unair.ac.id/JAKI/article/view/63027

Davis, F. D., & Granić, A. (2024). The Technology Acceptance Model. In Encyclopedia of Human-Computer Interaction. Springer. https://link.springer.com/10.1007/978-3-030-45274-2

Dzakirah, J., Andayanie, E., & Yusuf, R. A. (2024). Faktor Yang Berhubungan Dengan Pemanfaatan Mobile JKN Pada Instalasi Rawat Jalan Di Rumah Sakit Umum Yapika Kabupaten Gowa. Window of Public Health Journal, 5(5), 654–664. https://jurnal.fkm.umi.ac.id/index.php/woph/article/view/2115

Hayyana, N., Rahman, F., Laily, N., Putri, A. O., & Yulia Anhar, V. (2025). Analisis Penggunaan Mobile JKN dalam Pelayanan Pendaftaran Online di Instalasi Rawat Jalan RSUD Brigjend H. Hasan Basry Kandangan. Journal of Health Management.

Irmayani, I., Ginting, R., Samura, J. A., Parinduri, A., Bangun, S. M., & Hasanah, D. N. (2024). Relationship Between The Use of National Health Insurance Mobile Application and Health Services. JURNAL KEPERAWATAN DAN FISIOTERAPI (JKF), 7(1), 97–101. https://doi.org/10.35451/JKF.V7I1.2272

Lestari, R., & Putri, L. (2024). Faktor-Faktor Yang Berhubungan Dengan Pemanfaatan Mobile JKN Di Unit Pelayanan Rawat Jalan Rumah Sakit An-Nissa Kabupaten Rejang Lebong Tahun 2023.

Meisari, W. A., Widyaningrum, N., & Prameswari, A. (2024). Atensi Pengguna Mobile JKN dengan Pendekatan Model TAM (Technology Acceptance Model). Jurnal Manajemen Informasi Dan Administrasi Kesehatan, 7(2), 121–133. https://journal.univetbantara.ac.id/index.php/jmiak-rekammedis/article/view/5695

Nursabila, A. (2023). Faktor-Faktor Yang Berhubungan Dengan Pemanfaatan Aplikasi Mobile JKN Di BPJS Kesehatan Kabupaten Wonogiri.

Nursabila, A., & Prasastin, O. V. (2023). Faktor-Faktor Yang Berhubungan Dengan Pemanfaatan Aplikasi Mobile JKN Di BPJS Kesehatan Kabupaten Wonogiri. Eprints.Ukh.Ac.Id.

Pratama, Z. S., & Suhartanto, D. (2025). ENCOURAGING THE INTENTION TO USE MOBILE JKN APPLICATION FOR PATIENT REGISTRATION AND APPOINTMENT IN INDONESIA: A CROSS-SECTIONAL STUDY. Journal of Public Health Research and Community Health Development, 8(2), 97–108. https://doi.org/10.20473/JPHRECODE.V8I2.58574

Purba, K. V, Ramadhan, A. P., & Marianata, A. (2024). Analisis Penerapan JKN Mobile bagi Pengguna Lansia di Rumah Sakit Harapan dan Doa (RSHD) Kota Bengkulu. Jurnal Partisipatoris, 6(2), 1–15. https://ejournal.umm.ac.id/index.php/jurnalpartisipatoris/article/view/36223

Putri, D. A., & Maharani, C. (2023). Analysis of Service Quality JKN Mobile Application Toward Participants Satisfaction of the Health Social Security Implementing Agency (BPJS) Tegal Regency. Media Ilmu Kesehatan, 12(3), 289–304.

Saadi, M. T., & Junadi, P. (2025). Understanding outpatients’ intention to revisit a hospital: a study using theory of planned behavior and satisfaction in an Indonesian hospital. International Journal of Pharmaceutical and Healthcare Marketing. https://doi.org/10.1108/IJPHM-01-2025-0003/1299195

Safitri, R., Purnamasari, A. T., Ningrum, H. D., & others. (2024). Gambaran Tingkat Pengetahuan Masyarakat Terhadap Aplikasi Mobile JKN di Kelurahan Polehan Kecamatan Blimbing Kota Malang. Indonesian Journal of Health Insurance and Medical Records (IJHIMR), 1(1), 39–45. https://ojs.poltekkes-malang.ac.id/ijhimr/article/view/4340

Sammy Marthin Salakory, H., Makayaino, H., Dahlan Sely, M., Sonya Matuulessy, F., Latuconsina, L., & Tinggi Ilmu Kesehatan Maluku Husada, S. (2025). Utilization of the National Health Insurance Healthy Indonesia Card (JKN KIS) in Negeri Liang, Central Maluku Regency. Contagion: Scientific Periodical Journal of Public Health and Coastal Health, 7(3), 360–372. https://doi.org/10.30829/CONTAGION.V7I3.26125

Simbolon, P., & Saragih, P. (2024). Relationship of Knowledge with Usage Mobile JKN: A Case Study of Santa Elisabeth Hospital Medan. Lontara Journal of Health Science and Technology, 5(2), 99–107. https://jurnal.poltekmu.ac.id/index.php/lontarariset/article/view/471

Sujarwoto, S., Holipah, H., & Maharani, A. (2022). A Cross-Sectional Study of Knowledge, Attitudes, and Practices concerning COVID-19 Outbreaks in the General Population in Malang District, Indonesia. International Journal of Environmental Research and Public Health 2022, Vol. 19, Page 4287, 19(7), 4287. https://doi.org/10.3390/IJERPH19074287.

Sukmayati Siregar, O., Ismah, Z., Hasibuan, R., Siregar, O. S., & Info, A. (2024). Analysis of Public Attitudes Regarding the Use of JKN Mobile. Journal La Medihealtico, 5(3), 533–544.

Taherdoost, H. (2022). A Critical Review of Blockchain Acceptance Models—Blockchain Technology Adoption Frameworks and Applications. Computers 2022, Vol. 11, Page 24, 11(2), 24. https://doi.org/10.3390/COMPUTERS11020024.

Utami, P., Ardi, A., Waisan, D. S. S., & Sumaryo, R. A. (2025). Service Quality and E-Health Literacy Impact on Elderly Patient Loyalty at Hospital X. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 8(3), 10146–10162. https://doi.org/10.31538/IIJSE.V8I3.7551.

Wigatie, R. A., & Zainafree, I. (2023). Analisis Kepuasan Pengguna Aplikasi Mobile JKN di BPJS Kesehatan Kantor Cabang Magelang. Health Information: Jurnal Penelitian, 15(2), e1321. https://myjurnal.poltekkes-kdi.ac.id/index.php/hijp/article/view/1321.

Cover JTIK VOLUME 10 NO 4 OKTOBER 2026

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Published

2026-10-01

Issue

Vol. 10 No. 4 (2026): OCTOBER 2026

Section

Computer & Communication Science

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Copyright (c) 2026 Susi Arianti, Hosizah Markam, Nauri Anggita Temesvari, Tria Saras Pertiwi

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How to Cite

Arianti, S., Markam, H., Temesvari, N. A., & Pertiwi, T. S. (2026). Patient Age: A Determining Factor in Mobile JKN Adoption. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 10(4), 1591-1600. https://doi.org/10.35870/jtik.v10i4.6975

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