Published: 2025-12-01
Design of BPJS Patient Referral Information System Based on Python Tkinter at Mulia Medika Clinic
DOI: 10.35870/ijsecs.v5i3.5168
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Abstract
Digital transformation is still an ongoing process in health service delivery to improve operational performance and service quality. However, BPJS Kesehatan patient referrals are still trapped in administrative bottlenecks. At Mulia Medika Clinic, staff used to handle BPJS patient referrals manually, so that records were prone to errors and delays in obtaining information. We designed, implemented, and tested a desktop-based BPJS referral information system using Python and Tkinter for clinic operations. The development process followed the Waterfall methodology, which consisted of requirements analysis, system architecture design using Context Diagrams, Data Flow Diagrams, Entity-Relationship Diagrams as well as Flowcharts followed by implementation and black-box testing validation. The system will manage patient records, referral processing as well as user administration. Automated features include generating referral letters and producing reports. Testing has proven that this system is accurate and efficient—the manual workload has reduced, data traceability has improved, and continuity in the referral service has been maintained. Results prove operational readiness for clinic deployment to enhance administrative efficiency and precision of the referral data. Currently, it runs standalone without real-time database synchronization; hence workflow integration cannot be achieved. Future versions should have direct connections with both clinic management and BPJS databases to allow seamless data exchange without manual synchronization
Keywords
Information System ; BPJS Referral ; Desktop Application ; Python ; Tkinter
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 3 (2025)
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Section: Articles
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Published: %750 %e, %2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/ijsecs.v5i3.5168
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Piyyawati Dewi
Health Information Management Study Program DIV, Politeknik Piksi Ganesha, Bandung City, West Java Province, Indonesia
Yuyun Yunengsih
Health Information Management Study Program DIV, Politeknik Piksi Ganesha, Bandung City, West Java Province, Indonesia
Falaah Abdussalaam
Health Information Management Study Program DIV, Politeknik Piksi Ganesha, Bandung City, West Java Province, Indonesia
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Magdalena, H. (2017). Analisis Faktor–Faktor Pendukung Pengambilan Keputusan Memilih Rumah Sakit Rujukan Di Bangka Belitung Dengan Analitycal Hierarchy Process. Fountain Informatics J, 2(2), 10. https://doi.org/10.21111/fij.v2i2.1196
-
Puspitasari, S. T., & Mawarni, D. (2021). Need, demand dan supply pada kualitas layanan fasilitas kesehatan tingkat I BPJS Kesehatan era pandemi Covid-19 di wilayah Malang Raya. Preventia: The Indonesian Journal of Public Health, 6(1), 13-22. https://doi.org/10.17977/um044v6i1p13-22
-
Yunengsih, Y. (2024, November). Analysis Of The Use Electronic Medical Record In Supporting Work Effectiveness Of Medical Record Unit at Puskesmas Tegalgubug. In Proceedings (Vol. 4, No. 1, pp. 71-80).
-
Aly Baziyad, H., Tolle, H., & Rokhmawati, R. I. (2021). Perancangan pengalaman pengguna pada aplikasi antrean rumah sakit menggunakan metode Human-Centered Design (Studi kasus: RSUD 45 Kuningan). Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya, 5(6), 2152–2162. http://j-ptiik.ub.ac.id
-
Junaedi, F. A., Suryani, D. L., & Fadly, F. (2024). Perancangan rekam medis elektronik berbasis web dengan platform Indonesia Health Service (IHC) di Puskesmas Tarogong Garut. Jurnal Kesehatan Bakti Tunas Husada: Jurnal Ilmu-Ilmu Keperawatan, Analis Kesehatan dan Farmasi, 24(1), 84–96. https://doi.org/10.36465/jkbth.v24i1.1297
-
Yunengsih, Y., & Syahidin, Y. (2024). Evaluasi Penerapan Rekam Medis Elektronik Bagian Pendaftaran di Klinik Pratama Madani Tasikmalaya. Media Bina Ilmiah, 18(10), 2663-2670. https://doi.org/10.33758/mbi.v18i10.804.
-
Nugraha, E., Arso, S. P., & Prasetijo, A. B. (2020). Design of web-based planned referral information system from public health centers to hospital. Unnes Journal of Public Health, 9(1), 11–19.
-
Sanjaya, G. Y., Lazuardi, L., Hasanbasri, M., & Kusnanto, H. (2019). Using hospital claim data to develop referral decision support systems: Improving patient flow from the primary care. Procedia Computer Science, 161, 441–448. https://doi.org/10.1016/j.procs.2019.11.143
-
Raharjo, T., & Prayudi, Y. (2025). Securing electronic medical documents using AES and LZMA. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 9(2), 374–384.
-
Abdussalaam, F., & Oktaviani, I. (2020). Perancangan sistem informasi nilai berbasis web menggunakan metode prototyping. Jurnal E-Komtek (Elektro-Komputer-Teknik), 4(1), 16–29. https://doi.org/10.37339/e-komtek.v4i1.213
-
Abdussalaam, F., & Badriansyah, B. (2021). Perancangan sistem informasi pemeriksaan barang berbasis web menggunakan metode SSAD. EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi, 11(2), 174-180. https://doi.org/10.36448/expert.v11i2.2167
-
Joel, A. E., Yunengsih, Y., & Abdussalaam, F. (2023). Perancangan sistem informasi pendaftaran pasien rawat jalan menggunakan Visual Studio 2010 di RSUD Al-Ihsan. Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI), 8(2), 143–155. https://doi.org/10.52943/jipiki.v8i2.1292
-
Wijayanti, T. C., Salim, B. S., Sucahyo, N., Widiantoro, A. D., & Wibowo, E. W. (2024). Design of BPJS participant patient referral information system. International Journal of Artificial Intelligence Research, 6(1.1).
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