Pemodelan Integrasi Data Spasial UMKM Berbasis WebGIS untuk Mendukung Perencanaan Ekonomi Lokal di Desa Jono Oge

Local economic planning requires information on the types and locations of businesses together with explicit evidence of data quality. This study develops a WebGIS spatial data integration model to support an initial business profile and the identification of further information needs in Jono Oge Village, Sigi Regency. A descriptive case study linked two KMZ datasets to photographs, overlaid business points with five hamlet polygons, and matched them to OpenStreetMap roads. Business categories were inferred from names and cross-tabulated by provisional hamlet assignment. The resulting inventory contained 67 business entries and one village office linked to 70 photographs. Trade accounted for 30 entries (44.78%), followed by agriculture and feed with 13 (19.40%). Hamlet 1 contained eight agriculture and feed entries, while Hamlet 5 contained three of the six livestock entries. These distributions support the organization of follow-up inquiries into products, markets, and business support needs. Data quality evaluation distinguished recorded attributes from spatially derived information. Geocoding and location verification evidence remained insufficient to calculate composite geolocation scores. The model provides a traceable information base for local economic planning; it does not establish leading sectors, economic impacts, or the completeness of village-wide business coverage.