QGIS-Based Spatial Analysis Training for Primary Healthcare Workers
DOI:
https://doi.org/10.62568/gsce.v2i3.869Keywords:
Spatial Analysis, Stunting, Choropleth Map, Community Service, Primary Healthcare WorkersAbstract
Stunting remains one of the most persistent public health challenges in Indonesia, with a national prevalence of 19.8% based on the 2024 Indonesian Nutritional Status Survey (SSGI). Despite routine data collection at Community Health Centers (Puskesmas) through the Electronic Community-Based Nutrition Monitoring Information System (e-PPGBM), spatial analysis of stunting data is rarely conducted at the primary healthcare level. This community service program aimed to introduce primary healthcare workers and allied health educators to QGIS as a tool for spatial stunting data analysis. The session was delivered online as part of the DKLPT International Community Service Program in Batam, 20–25 June 2026, in collaboration with Institut Kesehatan Mitra Bunda (IKMB) Batam and Universiti Kuala Lumpur (UniKL), Malaysia. A post-training evaluation questionnaire, distributed via QR code linked to a Google Form, was completed by 25 respondents. Results showed that 74.0% of all responses were affirmative, with the highest understanding for stunting awareness (92.0%) and session relevance (84.0%). Lower agreement (64.0%) was found for technical items related to map interpretation, hotspot identification, and choropleth mechanics, pointing to the need for follow-up sessions with direct practice. This program demonstrates that a brief online introduction to QGIS can meaningfully raise awareness and motivation among primary healthcare workers, provided it is followed by dedicated hands-on sessions to build technical proficiency.
References
Alfa, Z., Yusda, R. A., & Rahayu, E. (2024). Mapping System for Location Of Stunting Cases in Toddler In Tanjung Balai City Using Webgis. JURTEKSI (Jurnal Teknologi Dan Sistem Informasi), 10(4), 621–628. https://doi.org/10.33330/jurteksi.v10i4.3328
Ardianto, E. T., Elisanti, A. D., Rusdiarti, R., Pratama, T. W. Y., & Rauf, M. A. (2025). Geospatial Analysis of Stunting: A QGIS-based Case Study in Jember Regency. International Journal of Healthcare and Information Technology, 3(2). https://doi.org/10.25047/ijhitech.v3i2.6684
Arifah, N., Sinta Novratilova, & Wahyu Ratri Sukmaningsih. (2026). Analisis Sebaran Kasus Demam Berdarah Dengue Berbasis Sistem Informasi Geografis Di Kecamatan Weru, Kabupaten Sukoharjo. GEMA KESEHATAN, 18(1), 80–94. https://doi.org/10.47539/gk.v18i1.534
Dewi, F. K., Setyawati, V. A. V., & Wardoyo, A. (2025). Evaluation of Elsimil Application Data Management System for Stunting Prevention By BKKBN Of Central Java. Proceeding of International Seminar and Workshop on Public Health Action, 1(1), 88–98. https://doi.org/10.60074/iswopha.v1i1.14313
Diniy, A. R. R., & Somantri, L. (2024). Effectiveness of online GIS training on increasing professional competence of geography teachers. E3S Web of Conferences, 600, 03002. https://doi.org/10.1051/e3sconf/202460003002
Hasinuddin, M., Noviana, U., & Wahyudi, R. (2024). Faktor Pendorong Penurunan Stunting Di Indonesia. Trends and Issues in Healthcare, 1(1). https://doi.org/https://doi.org/10.5281/zenodo.16009183
Kementerian Kesehatan Republik Indonesia. (2025). Survei Status Gizi Indonesia 2024 Dalam Angka. https://www.badankebijakan.kemkes.go.id/survei-status-gizi-indonesia-ssgi-2024/
Natasia, K., Rahmawati, D. P., & Ardianti, R. D. (2025). Gambaran Prevalensi Stunting dan Praktik Pemberian ASI Eksklusif di Indonesia Berdasarkan Data SSGI 2024. Ghidza: Jurnal Gizi Dan Kesehatan, 9(2), 328–336. https://doi.org/10.22487/qzghht55
QGIS Development Team. (2024). QGIS geographic information system (Version 3.36). Open Source Geospatial Foundation. https://www.qgis.org
Rahma, S. A., Priharwanti, A., Irawan, T., & Yuniarti, Y. (2025). Peran kader dalam skrining balita sebagai upaya akselerasi penurunan stunting di Desa Karanganyar Kabupaten Pekalongan. JOURNAL of Public Health Concerns, 5(6), 276–285. https://doi.org/10.56922/phc.v5i6.1290
Sari, A. D. L., Rohman, H., & Wimasa, A. Y. (2023). Sistem Informasi Geografis Pemetaan Pneumonia Komunitas Di Puskesmas Mergangsan Kota Yogyakarta. Prosiding Seminar Informasi Kesehatan Nasional (SIKesNas), 2023.
Sari, A., & Siregar, R. (2023). A Spatial Analysis of Stunting and Its Determinants in Indonesia. Proceedings of the 5th International Conference on Social Determinants of Health, 198–202. https://doi.org/10.5220/0012903400004564
Stang, Dwinata, I., Sudirman, J., Marwang, S., Rinaldy, A. R., & Ramadhani, St. A. (2025). Optimalisasi peran bidan dengan quantum GIS dan deteksi dini tumbuh kembang dalam pemetaan risiko kejadian stunting. Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS), 8(2), 280–291. https://doi.org/10.33474/jipemas.v8i2.23097
Susanti, D., Selvi Putri Octaviani, & Tazkihatun Nufush. (2025). Improving Community Health Workers’ Knowledge in Early Stunting Detection Through Anthropometric Training and The Beraksi Application. Jurnal Kesehatan Budi Luhur: Jurnal Ilmu-Ilmu Kesehatan Masyarakat, Keperawatan, Dan Kebidanan, 18(2), 73–77. https://doi.org/10.62817/jkbl.v18i2.431
Taufiqoh, Z., Sukamto, S., & Lisa, M. (2021). Model Evaluasi Kirkpatrick pada Pelatihan Teknis Siaga Covid-19 Berbasis Keluarga Melalui E-learning. CAKRAWALA, 15(1), 1–10. https://doi.org/10.32781/cakrawala.v15i1.369
Tran, T. D., Vu, P. M., Pham, H. T. M., Au, L. N., Do, H. P., Doan, H. T. T., Huynh, N., Huynh, Q. T. V., Le, B. K., Ngo, D. Q., Nguyen, H. T. M., Nguyen, K. D., Nguyen, N. A., Nguyen, P. H., Nguyen, T. A., Tran, T. C., Chau, H. N., Vuong, L. N., & Vu, N. V. (2022). Transforming medical education to strengthen the health professional training in Viet Nam: A case study. The Lancet Regional Health - Western Pacific, 27, 100543. https://doi.org/10.1016/j.lanwpc.2022.100543
WHO, UNICEF, & Word Bank. (2023). Levels and Trends in Child Malnutrition. https://www.who.int/publications/i/item/9789240073791?
Downloads
Submitted
Accepted
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Sinta Novratilova, Sri Suparti, Yunita Dian Permata Sari

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














