BLACKBOX TESTING OF THE GIS-BASED INTEGRATED HEALTH POST (POSYANDU) PERFORMANCE MAPPING APPLICATION

Authors

  • Riswan Riswan Nurdin Hamzah University
  • Nilawati Nilawati Nurdin Hamzah University
  • Ahmad Husna Alhadi Nurdin Hamzah University
  • Yeni Nurjani Nurdin Hamzah University
  • Gustina Gustina Nurdin Hamzah University
  • Afrizal Afrizal Nurdin Hamzah University

DOI:

https://doi.org/10.33480/jitk.v12i1.7452

Keywords:

Decision Support, Geographic Information System, Health Information System, Performance Mapping, Posyandu

Abstract

The Family Planning - Integrated Health Service Post (Posyandu) plays an important role in providing primary health services at the community level in Indonesia, especially in monitoring maternal and child health. However, traditional management and performance evaluation of Posyandu often faces challenges such as limited data accuracy, inefficient reporting, and a lack of integrated monitoring tools. This research aims to develop a Geographic Information System (GIS)-based application to improve the mapping and performance assessment of Posyandu. In contrast to previous GIS health mapping systems, this study makes a unique contribution by integrating automated performance classification based on Posyandu success indicators as well as real-time analytics to support more responsive decision-making. This research uses the Research and Development (R&D) method with the Waterfall approach. The resulting application integrates performance dashboard features, GIS-based location mapping, and data management modules. Blackbox Testing and User Acceptance Test (UAT) are conducted to ensure the functionality and reliability of the system. The functional test results through 10 black box test scenarios show a 100% success rate, while the UAT results achieve an average score of 100% confirming the usability of the system. The app allows cadres to manage data efficiently and provide transparent information to the health office. This study concludes that this GIS-based application significantly improves data management and performance visualization, thereby strengthening the role of Posyandu in public health services.

Downloads

Download data is not yet available.

References

[1] Kementerian Republik RI, “Menteri Kesehatan Republik Indonesia,” 2023.

[2] C. Gupta, P. Srinivasan, P. Aedla, S. Yadav et al., “Geographic Information Systems (GIS) and Public Health: Applications in Disease Surveillance and Management,” Journal of Applied Bioanalysis, vol. 11, no. 2, pp. 206–218, 2025, doi: 10.53555/jab.v11i2.201.

[3] M. A. W. P. Rahmadhan and P. W. Handayani, “Integrated Immunization Information System in Indonesia: Prototype Design Using Quantitative and Qualitative Data,” JMIR Form. Res., vol. 7, no. 1, Jan. 2023, doi: 10.2196/53132.

[4] R. B. S. Martin and J. Paul, “Evaluating the performance of GIS methodologies for quantifying spatial accessibility to healthcare in Multi-Island Micro States (MIMS),” Health Policy Plan., vol. 37, no. 6, pp. 690–705, Jun. 2022, doi: 10.1093/heapol/czac001.

[5] E. Haeuser, J. Q. Nguyen, S. Rolfe, O. Nesbit, N. Fullman, and J. F. Mosser, “Assessing Geographic Overlap between Zero-Dose Diphtheria–Tetanus–Pertussis Vaccination Prevalence and Other Health Indicators,” Vaccines (Basel)., vol. 11, no. 4, Apr. 2023, doi: 10.3390/vaccines11040802.

[6] M. Kuantan et al., “Utilization of Geographic Information System (GIS) in Mapping the Distribution of Malnutrition Among Primary School Children in,” Malaysia, Jan. 2023.

[7] M. Rizal, W. A. Saputra, and T. D. Wismarini, “JTIM : Jurnal Teknologi Informasi dan Multimedia Webgis Fasilitas Kesehatan di Kabupaten Demak dengan Leaf-let dan Web Mapping Interaktif Client-Side,” JTIM 2025, vol. 7, no. 3, pp. 587–600, 2025, doi: 10.35746/jtim.v7i3751.

[8] A. Candra and D. Gusrion, “Geographic Information System (GIS) for Optimizing Hospital Distribution and Accessibility in Padang City, Indonesia,” Jurnal Ilmu Komputer dan Informatika, vol. 1, no. 3, pp. 55–61, 2025

[9] D. Indrayana, “Jurnal Informatika dan Rekayasa Perangkat Lunak Design of a Client-Side Based WebGIS System for Health Service Distribution Analysis (Case Study of Sukabumi Regency),” vol. 8, no. 1, pp. 156–164, 2026.

[10] K. Baktiarto and M. A. Basyid, “Implementasi Sistem Informasi Geografis Berbasis Web untuk Pemetaan Digital Sebaran Fasilitas Kesehatan Kota Cimahi Dalam Mendukung Pengambilan Kebijakan Pemerintah Daerah,” vol. X, no. 4, 2025.

[11] A. A. Ningtyas, D. Miswar, R. K. S. Utami, P. Pargito, and Y. Yarmaidi, “Utilization webGIS to map the distribution of health facilities in Tanjung Senang subdistrict Bandar Lampung City,” Journal of Environment and Geography Education, vol. 1, no. 1, pp. 58–75, Feb. 2024, doi: 10.61511/jegeo.v1i1.2024.687.

[12] S. Sulistyawati et al., “Introduction and implementation of an immunization information system in the Indonesian province of Daerah Istimewa Yogyakarta: lessons for scaling-up,” BMC Health Serv. Res., vol. 23, no. 1, Dec. 2023, doi: 10.1186/s12913-022-08910-6.

[13] A. Reinaldo Crispin et al., “Manfaat sistem informasi geografis terhadap penyakit dengue: Scoping Review,” 2023. [Online]. Available: http://journal.victoryhaga.org/index.php/hjph

[14] K. Thipthimwong, S. Panawathanapisuit, T. Thonthong, T. Yamsri, and T. Plubplatong, “A Geographic Information Systems-Based Analysis of Response Time and Hospital Coverage Area in Sukhothai Province, Thailand,” International Journal of Geoinformatics, vol. 20, no. 8, pp. 46–55, Aug. 2024, doi: 10.52939/ijg.v20i8.3449.

[15] N. V. A. Lubrica, C. J. S. Valdez, J. W. Quianio, R. I. Rubia, and G. D. Bernardino Jr., “Analysis of Dengue Cases Using Geographic Information Systems: Evidence from Baguio City, Philippines,” Philippine Journal of Nursing, vol. 92, no. 2, pp. 47–57, 2022.

[16] P. Carbajales-Dale, “Using GIS to improve public health emergency response in rural areas during the COVID-19 crisis: A case study of South Carolina, US,” Transactions in GIS, vol. 27, no. 6, pp. 1556–1576, 2023, doi: 10.1111/tgis.13069.

[17] M. Siddique et al., “Using geographic information system to track children and optimize immunization coverage and equity in Karachi, Pakistan,” Vaccine, vol. 41, no. 18, pp. 2922–2931, May 2023, doi: 10.1016/j.vaccine.2023.03.051.

[18] A. Reinaldo Crispin et al., “Manfaat sistem informasi geografis terhadap penyakit dengue: Scoping Review,” 2023. [Online]. Available: http://journal.victoryhaga.org/index.php/hjph

[19] D. Haisoufi and E. Bouaiti, “State of the Art on the Contributions and Use of Geographic Information Systems (GIS) in Epidemiology in Morocco,” The Open Public Health Journal, vol. 17, 2024, doi: 10.2174/0118749445285251231228054223

[20] S. J. Putri, D. G. P. Putri, and W. H. N. Putra, “Analisis Komparasi pada Teknik Black Box Testing (Studi Kasus: Website Lars),” Journal of Internet and Software Engineering, vol. 5, no. 1, pp. 23–28, May 2024, doi: 10.22146/jise.v5i1.9446

Downloads

Published

2026-08-26

Issue

Vol. 12 No. 1 (2026): JITK Issue August 2026

Section

Articles

License

Copyright (c) 2026 Riswan Riswan, Nilawati Nilawati, Ahmad Husna Alhadi, Yeni Nurjani, Gustina Gustina, Afrizal Afrizal

Creative Commons License

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

How to Cite

[1]
“BLACKBOX TESTING OF THE GIS-BASED INTEGRATED HEALTH POST (POSYANDU) PERFORMANCE MAPPING APPLICATION”, jitk, vol. 12, no. 1, pp. 317–326, Aug. 2026, doi: 10.33480/jitk.v12i1.7452.