GEMASTA Sambaliung: Participatory Mapping for the Administrative Organization of RT Boundaries
GEMASTA Sambaliung: Pemetaan Partisipatif untuk Penataan Administrasi Batas RT
DOI:
https://doi.org/10.30872/desamu.5225Keywords:
administrative boundaries, GEMASTA, participatory mapping, QGIS, RT boundary, village statisticsAbstract
The Village/Urban Village Mapping and Statistics Movement (GEMASTA) in Sambaliung integrates population statistics, participatory mapping, field verification, and geographic information systems to support neighborhood-level territorial administration. This community engagement study aimed to analyze population dynamics, develop spatial profiles for 23 neighborhood units, assess the internal consistency of boundary data, and formulate a sustainable local data-management model. The community service team compiled statistical data for 2021–2025; recorded boundary-point coordinates, polygon areas, and perimeters; verified information through coordination with the Sambaliung Urban Village Office, neighborhood leaders, residents, and Statistics Indonesia; and processed the spatial data in QGIS. Descriptive analysis showed that the population increased from 16,344 in 2022 to 19,253 in 2025, representing a 17.80% increase. Population density in 2024 reached approximately 642.51 persons/km² based on the reported administrative area of 29.22 km². The combined area of the 23 neighborhood polygons reached 39.59 km², exceeding the reported administrative area by 10.37 km² or 35.51%. This discrepancy indicates a need to reconcile topology, coordinate reference systems, attribute records, and boundary versions before formal administrative use. GEMASTA produced a digital map, a spatial database, print-ready map layouts, boundary-point documentation, and a deliberative verification mechanism. The participatory model provides a practical foundation for improving local data governance, public services, and evidence-based development planning.
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Copyright (c) 2026 Hamdi Mayulu, Fathir Januarta, Shasy Salwa, Zelda Annisa, Rahraini Aprlilia, Friskila Anggun Trinanda, Pricilia Cinta, Achmad Said Syafin, Vivien Nurhavizan, Steven Justin Saputra, Viola Thesya KUla (Author)

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





