Optimization of Sustainable Development Goals (SDGs) Database for the Health-Aware Village in Plumbon, Sukoharjo Regency
DOI:
https://doi.org/10.23917/warta.v29i2.13573Keywords:
Kesehatan Masyarakat, Webgis, Visualisasi Data, SDGs DesaAbstract
(1) Background of the problem: Community-based health surveillance is essential for early detection and control of priority health problems at the village level. This community service program designed an integrated workflow to optimize the Health-Aware Village database in Plumbon (SDGs village 3: healthy and prosperous village); (2) Objectives: (i) to produce valid village-level health indicators, (ii) to establish a database that can be routinely updated, and (iii) to deliver a WebGIS-based dashboard for evidence-informed decision-making; (3) Methods: The activity was conducted in Plumbon Village, Mojolaban District, Sukoharjo Regency, from July 1 to August 18, 2025, through three stages: socialization and instrument development, guidance and monitoring, and strengthening local independence. The socialization and training involved 20 participants consisting of village officials, health cadres, RW/RT representatives, the village midwife, and youth representatives. Data were collected from 388 households selected proportionally from 10 RWs using the Health-Aware Village questionnaire. The data were processed through editing, coding, entry, and tabulation, analyzed descriptively, mapped using QGIS, and visualized through the village website. Evaluation was carried out using pre-test, post-test, practice observation, and data validation. (4) Results: The activity produced a Health-Aware Village questionnaire, a structured health database, thematic maps of indicators by RW, and a WebGIS dashboard displaying tables, charts, and maps. Participants with at least “understanding” increased from 10% in the pre-test to 80% in the post-test, while “not understanding” decreased from 55% to 5%. Compared with manual recording, the WebGIS platform supports easier data updating, clearer spatial reading of priority areas, transparent public communication, and targeted intervention planning. (5) Conclusion: participatory approach combined with geospatial analysis and visualization transforms dispersed village health data into a manageable, informative system; (6) Recommendations or follow-up: appointing a dedicated WebGIS operator team and expanding the indicator set to include non-communicable disease risk factors and service coverage to sustain and amplify impact.
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