Evaluating Medxa SIMRS Implementation Success Using HOT-Fit and Multiple Regression

Authors

  • Muhammad Haykal Alfariz Saputra Sriwijaya University, Indonesia
  • Ermatita Ermatita Sriwijaya University, Indonesia
Pages Icon

DOI:

https://doi.org/10.63158/journalisi.v8i1.1392

Keywords:

Hospital Management Information System, Medxa SIMRS, HOT-Fit Model, Net Benefit, Multiple Linear Regression

Abstract

The implementation of Hospital Management Information Systems (HMIS) is essential for improving service quality, strengthening operational efficiency, and supporting evidence-based decision-making in hospitals. Nevertheless, the success of HMIS implementation is shaped not only by technological performance, but also by human and organizational factors. This study aimed to evaluate the implementation success of Medxa SIMRS at Mohammad Hoesin Hospital, Palembang, using the Human–Organization–Technology Fit (HOT-Fit) model. A quantitative cross-sectional survey was conducted among 67 active users of Medxa SIMRS using a structured Likert-scale questionnaire. Data were analyzed using descriptive statistics and multiple linear regression in Python to examine the influence of the Human, Organization, and Technology dimensions on Net Benefit. The descriptive findings showed that all HOT-Fit dimensions were rated in the good to very good categories, indicating generally positive user perceptions of the system. Regression analysis demonstrated that, simultaneously, the Human, Organization, and Technology dimensions significantly explained variation in Net Benefit (p < 0.05). However, in the partial analysis, only the Technology dimension had a statistically significant positive effect on Net Benefit. These results indicate that system quality, information quality, and service quality are the main determinants of perceived system benefits in this setting. The findings suggest that hospitals should prioritize technological optimization while strengthening organizational support and user readiness to maximize the success of HMIS implementation.

Downloads

Download data is not yet available.

References

[1] M. H. I. Triana, S. H. Purba, D. S. Panggabean, and F. Sari, “Pengaruh implementasi sistem informasi manajemen rumah sakit terhadap kinerja karyawan: Tinjauan literatur,” VitaMedica J. Rumpun Kesehat. Umum, vol. 3, no. 1, pp. 21–31, 2025.

[2] N. Nirwani, A. Harokan, and D. Ekawati, “Analisis kualitas pelayanan terhadap kepuasan pasien di instalasi rawat jalan RS Mohammad Hoesin Palembang,” Indones. Res. J. Educ., vol. 5, no. 4, pp. 1655–1660, 2025, doi: 10.31004/irje.v5i4.3132.

[3] RSUP Dr. Mohammad Hoesin Palembang, “Sejarah RSUP Dr. Mohammad Hoesin Palembang,” [Online]. Available: situs resmi RSUP Dr. Mohammad Hoesin Palembang. [Accessed: Mar. 3, 2026]. https://www.rsmh.co.id/profil/sejarah.

[4] R. L. Sitompul, N. Yuniar, and F. Prasetya, “Evaluasi sistem informasi manajemen rumah sakit (SIMRS) Khanza: Metode HOT-FIT di instalasi rawat jalan RSUD Bahteramas tahun 2024,” NeoRespublica J. Ilmu Pemerintah., vol. 5, no. 2, pp. 826–842, 2024.

[5] Y. E. Kristanti and R. Q. Ain, “Sistem informasi manajemen rumah sakit: Literature review,” Muhammadiyah Public Health J., vol. 1, no. 2, pp. 179–193, 2021.

[6] L. E. Hutagalung, “Analisa manajemen risiko sistem informasi manajemen rumah sakit (SIMRS) pada rumah sakit XYZ menggunakan ISO 31000,” Teika, vol. 12, no. 1, pp. 23–33, 2022.

[7] S. Rusli, “Implementasi sistem informasi manajemen rumah sakit dalam pengolahan data rumah sakit,” JKM (J. Kesehat. Masy.) Cendekia Utama, vol. 10, no. 2, pp. 158–168, 2022.

[8] R. Molly and M. Itaar, “Analisis pemanfaatan sistem informasi manajemen rumah sakit (SIMRS) pada RSUD Dok II Jayapura,” J. Softw. Eng. Ampera, vol. 2, no. 2, pp. 95–101, 2021.

[9] M. P. Putri and H. Effendi, “Implementasi metode rapid application development pada website service guide ‘Waterfall Tour South Sumatera’,” J. SISFOKOM, vol. 7, 2018.

Catatan: nomor issue, halaman, dan DOI perlu dicek ulang.

[10] E. R. Puspitasari and E. Nugroho, “Evaluasi implementasi sistem informasi manajemen rumah sakit di RSUD Kabupaten Temanggung dengan menggunakan metode HOT-FIT,” J. Inf. Syst. Public Health, vol. 5, no. 3, pp. 45–60, 2021.

[11] S. T. Jasmine, T. S. Matondang, M. R. Pratama, and S. Hajijah, “Tren, tantangan, dan solusi sistem informasi manajemen rumah sakit di Jakarta,” Surya Medika, vol. 20, no. 1, pp. 62–70, 2025.

[12] G. K. Dhewy, A. H. Rahim, and M. Veranita, “Penilaian HOT-FIT model terhadap penggunaan sistem informasi manajemen rumah sakit Tk. II Kartika Husada Pontianak tahun 2024,” J-CEKI J. Cendekia Ilm., vol. 4, no. 2, pp. 1527–1544, 2025.

[13] B. Sugiyarto et al., “Evaluasi sistem informasi manajemen rumah sakit (SIMRS) metode HOT-FIT: Literature review,” J. Soc. Econ. Res., vol. 6, no. 1, pp. 896–906, 2024.

[14] M. M. Sari, G. Y. Sanjaya, and A. Meliala, “Evaluasi sistem informasi manajemen rumah sakit (SIMRS) dengan kerangka HOT-FIT,” in Proc. SESINDO, 2016.

Catatan: kota terbit, halaman, dan penerbit prosiding perlu dicek ulang.

[15] R. Hasibuan et al., “Evaluasi penerapan sistem informasi manajemen rumah sakit (SIMRS) dengan metode HOT-FIT di RSU Mitra Sejati Medan,” J. Ilm. Univ. Batanghari Jambi, vol. 24, no. 1, pp. 231–234, 2024.

[16] Kementerian Kesehatan Republik Indonesia, “Peraturan Menteri Kesehatan Republik Indonesia Nomor 82 Tahun 2013 tentang Sistem Informasi Manajemen Rumah Sakit,” Kementerian Kesehatan Republik Indonesia, 2024

[17] W. S. Dewi, D. Ginting, and R. Gultom, “Evaluasi sistem informasi manajemen rumah sakit di instalasi rekam medis RSUP H. Adam Malik dengan metode HOT-FIT tahun 2019,” J. Ilm. Perekam Inf. Kesehat. Imelda, vol. 6, no. 1, pp. 73–82, 2021.

[18] N. Alamsyah, E. Daniati, and A. Ristyawan, “Evaluasi kesesuaian implementasi SIMRS Khanza berdasarkan model human-organization-technology fit (HOT-FIT),” Indones. J. Comput. Sci. Res., vol. 4, no. 2, pp. 128–138, 2025.

[19] A. Faigayanti, L. Suryani, and H. Rawalilah, “Evaluasi sistem informasi manajemen rumah sakit (SIMRS) di bagian rawat jalan dengan metode HOT-FIT,” J. Kesehat. Saelmakers PERDANA, vol. 5, no. 2, pp. 245–253, 2022.

[20] S. Suhartatik et al., “Evaluasi keberhasilan implementasi SIMRS di rumah sakit X Kabupaten Jember dengan pendekatan metode TTF,” J-REMI J. Rekam Medis Inf. Kesehat., vol. 3, no. 3, pp. 231–242, 2022.

[21] A. S. Aziz and R. Rahayu, “Analisis parameter keberhasilan sistem informasi manajemen rumah sakit (SIMRS) dengan metode DeLone dan McLean pada rumah sakit swasta di Kota Padang,” Syntax Literate J. Ilm. Indones., vol. 7, no. 12, pp. 19949–19962, 2022.

[22] S. N. D. Septiyani and W. Sulistiadi, “Penerapan sistem informasi manajemen rumah sakit (SIMRS) dengan menggunakan metode HOT-FIT: Systematic review,” J-KESMAS J. Kesehat. Masy., vol. 8, no. 2, pp. 136–147, 2023.

[23] A. Rokim et al., “Evaluasi sistem informasi manajemen puskesmas (SIMPUS) dengan metode HOT-FIT di Puskesmas Kecamatan Cakung,” J. Manaj. Inf. Kesehat. Indones., vol. 12, no. 1, 2024.

[24] B. Antoro, “Analisis penerapan formula Slovin dalam penelitian ilmiah: Kelebihan, kelemahan, dan kesalahan dalam perspektif statistik,” J. Multidisiplin Sos. Hum., vol. 1, no. 2, pp. 53–63, 2024.

[25] Y. Utami, “Uji validitas dan uji reliabilitas instrumen penilaian kinerja dosen,” J. Sains Teknol., vol. 4, no. 2, pp. 21–24, 2023.

Downloads

Published

2026-03-08

Issue

Vol. 8 No. 1 (2026): February

Section

Articles

License

Copyright (c) 2026 Journal of Information Systems and Informatics

Creative Commons License

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

Authors Declaration

  1. The Authors certify that they have read, understood, and agreed to the Journal of Information Systems and Informatics (JournalISI) submission guidelines, policies, and submission declaration. The submission has been prepared using the provided template.
  2. The Authors certify that all authors have approved the publication of this manuscript and that there is no conflict of interest.
  3. The Authors confirm that the manuscript is their original work, has not received prior publication, is not under consideration for publication elsewhere, and has not been previously published.
  4. The Authors confirm that all authors listed on the title page have contributed significantly to the work, have read the manuscript, attest to the validity and legitimacy of the data and its interpretation, and agree to its submission.
  5. The Authors confirm that the manuscript is not copied from or plagiarized from any other published work.
  6. The Authors declare that the manuscript will not be submitted for publication in any other journal or magazine until a decision is made by the journal editors.
  7. If the manuscript is finally accepted for publication, the Authors confirm that they will either proceed with publication immediately or withdraw the manuscript in accordance with the journal’s withdrawal policies.
  8. The Authors agree that, upon publication of the manuscript in this journal, they transfer copyright or assign exclusive rights to the publisher, including commercial rights

How to Cite

[1]
M. H. A. Saputra and E. Ermatita, “Evaluating Medxa SIMRS Implementation Success Using HOT-Fit and Multiple Regression”, journalisi, vol. 8, no. 1, pp. 1328–1343, Mar. 2026, doi: 10.63158/journalisi.v8i1.1392.

Most read articles by the same author(s)