Pengembangan Aplikasi M-Diabet Care Berbasis Agile Scrum untuk Meningkatkan Keterlibatan Pasien dalam Pemantauan Diabetes
DOI:
https://doi.org/10.62712/juktisi.v5i2.1634Keywords:
Agile Scrum, Diabetes Melitus, Aplikasi Kesehatan, Keterlibatan Pasien, Pemantauan KesehatanAbstract
Diabetes merupakan penyakit kronis yang membutuhkan pemantauan kesehatan secara berkelanjutan dan keterlibatan aktif pasien dalam melakukan pengelolaan mandiri. Rendahnya kepatuhan dalam pencatatan kadar glukosa, pemantauan aktivitas kesehatan, dan pengelolaan pola hidup menjadi tantangan dalam pengendalian diabetes. Penelitian ini bertujuan mengembangkan aplikasi M-Diabet Care berbasis mobile health menggunakan metode Agile Scrum serta mengevaluasi pengaruh penggunaannya terhadap keterlibatan pasien dalam pemantauan diabetes. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan tahapan Agile Scrum yang meliputi product backlog, sprint planning, sprint development, sprint review, dan sprint retrospective. Pengujian aplikasi dilakukan menggunakan black-box testing untuk mengevaluasi fungsionalitas sistem dan System Usability Scale (SUS) untuk mengukur tingkat usability. Evaluasi keterlibatan pasien dilakukan menggunakan desain one-group pre-test–post-test terhadap 8 responden dengan analisis paired sample t-test. Hasil penelitian menunjukkan bahwa seluruh fitur utama aplikasi berhasil berjalan sesuai kebutuhan dengan tingkat keberhasilan pengujian fungsional sebesar 100%. Evaluasi usability memperoleh skor SUS sebesar 78,44, yang menunjukkan tingkat penerimaan pengguna yang baik. Selain itu, skor keterlibatan pasien meningkat dari 37,75 pada pre-test menjadi 46,13 pada post-test dengan peningkatan sebesar 22,2%, serta menunjukkan perbedaan yang signifikan berdasarkan uji paired sample t-test (p<0,001). Hasil penelitian menunjukkan bahwa Agile Scrum dapat mendukung pengembangan aplikasi kesehatan digital yang adaptif dan berorientasi pengguna, serta M-Diabet Care berpotensi meningkatkan keterlibatan pasien dalam pemantauan diabetes secara mandiri.
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References
[1] International Diabetes Federation, IDF Diabetes Atlas, 11th ed. Brussels: International Diabetes Federation, 2025.
[2] I. Madujibeya, T. A. Lennie, J. Pelzel, and D. K. Moser, “Patients’ Experiences Using a Mobile Health App for Self-Care of Heart Failure in a Real-World Setting: Qualitative Analysis,” JMIR Form. Res., vol. 7, p. e39525, Aug. 2023, doi: https://doi.org/10.2196/39525.
[3] R. Tarricone, F. Petracca, L. Svae, M. Cucciniello, and O. Ciani, “Articles Which behaviour change techniques work best for diabetes self-management mobile apps ? Results from a systematic review and meta-analysis of randomised controlled trials,” eBioMedicine, vol. 103, p. 105091, 2024, doi: https://doi.org/10.1016/j.ebiom.2024.105091.
[4] E. de Souza Ferreira et al., “The effectiveness of mobile application for monitoring diabetes mellitus and hypertension in the adult and elderly population: systematic review and meta-analysis,” BMC Health Serv. Res., vol. 23, no. 1, Dec. 2023, doi: https://doi.org/10.1186/s12913-023-09879-6.
[5] C. Eaton et al., “User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions : Systematic Review Corresponding Author :,” vol. 26, 2024, doi: https://doi.org/10.2196/50508.
[6] M. Iqhrammullah et al., “Dropout rate in clinical trials of smartphone apps for diabetes management: A meta-analysis.,” Diabetes Res. Clin. Pract., vol. 212, p. 111723, Jun. 2024, doi: https://doi.org/10.1016/j.diabres.2024.111723.
[7] E. Jahan et al., “Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis.,” Am. J. Prev. Med., vol. 66, no. 6, pp. 1060–1070, Jun. 2024, doi: https://doi.org/10.1016/j.amepre.2024.01.008.
[8] A. M. Zukhruf, S. Setiawan, P. Nugroho, and F. Khoirun Nisa’, “Penerapan Metode Agile Scrum Dalam Pengembangan Sistem Informasi Rekam Medis Elektronik under a Creative Commons Attribution-NonCommercial ShareAlike 4.0 International (CC BY-NC-SA 4.0),” vol. 10, no. 1, 2025, [Online]. Available: https://journal.uin-alauddin.ac.id/index.php/instek
[9] I. Sinabell and E. Ammenwerth, “Agile eHealth Usability Evaluation: A Triangulative Approach to Promoting the Usability of eHealth Systems.,” Stud. Health Technol. Inform., vol. 313, pp. 234–240, Apr. 2024, doi: https://doi.org/10.3233/SHTI240043.
[10] N. Hodson, P. Woods, M. Sobolev, and D. Giacco, “A Digital Microintervention Supporting Evidence-Based Parenting Skills : Development Study Using the Agile Scrum Methodology Corresponding Author :,” vol. 8, pp. 1–9, 2024, doi: https://doi.org/10.2196/54892.
[11] E. Jarva, T. Yrttiaho, and M. Isomursu, “Requirements elicitation for a health monitoring mobile application : a participatory design approach with clinicians and researchers,” vol. 17, no. 1, pp. 44–56, 2025, doi: https://doi.org/10.23996/fjhw.154924.
[12] M. Shamsujjoha, J. Grundy, H. Khalajzadeh, Q. Lu, and L. Li, “Developer and End-User Perspectives on Addressing Human Aspects in Mobile eHealth Apps,” Inf. Softw. Technol., vol. 166, p. 107353, 2024, doi: https://doi.org/10.1016/j.infsof.2023.107353.
[13] M. Desai et al., “Implementation of Agile in healthcare: methodology for a multisite home hospital accelerator.,” BMJ open Qual., vol. 13, no. 2, May 2024, doi: https://doi.org/10.1136/bmjoq-2024-002764.
[14] M. Hyzy, R. Bond, M. Mulvenna, and L. Bai, “System Usability Scale Benchmarking for Digital Health Apps : Corresponding Author :,” vol. 10, no. 8, pp. 1–11, 2022, doi: https://doi.org/10.2196/37290.
[15] Z. Maqsood, M. Sajjad, and R. Yasmin, “Effect of feedback-integrated reflection , on deep learning of undergraduate medical students in a clinical setting,” 2025.
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