Integrating Geospatial Data for Local Economic Planning: A Case Study of Culinary Businesses in the Coastal Area of Parepare City, Indonesia Mulyawan M.R.1*, Yanaru.1, Jouhari M.I.1, SN S.A.1, Rahmat M.A.Z.1, Wibowo A.K.1, Nurdin N. 2,3, Aushaf S.T. 3
1Department of Marine Science, Hasanuddin University, Makassar, 90245. Indonesia
2Department of Remote Sensing and Geographic Information System, Vocational Faculty, Hasanuddin University, Makassar 90245. Indonesia
3Research and Development Center for Marine, Coast and Small Islands, Hasanuddin University, Makassar 90245. Indonesia
*raidoidho[at]gmail.com
Abstract
Urban coastal areas in Indonesia are dynamic regions with diverse formal and informal economic activities that contribute significantly to the livelihoods of local communities. However, the lack of structured and comprehensive spatial data poses a challenge to inclusive and evidence-based regional planning in this region. One rapidly growing sector in coastal areas is the culinary business, although its geospatial characteristics have not been documented systematically. This study aims to identify the spatial distribution and attributes of culinary businesses in the coastal area of Parepare City, South Sulawesi, through a mobile GIS-based survey. Data from 289 business locations across 11 coastal sub-districts were collected, documenting attributes such as business type, physical facilities, signature dishes, and halal certification status. The data were analyzed using various spatial visualization methods, including choropleth maps to show the number of businesses per sub-district, 100- to 500-meter buffer analysis to evaluate spatial distribution relative to the surrounding environment, and heatmaps to map the concentration of culinary businesses in specific areas. The results show that traditional food stalls are the most dominant business type, although the majority still operate with limited facilities and are not officially halal-certified. Meanwhile, businesses such as cafes and container shops have more organized facilities but still face challenges in terms of legality and competition. The highest business concentration was found in sub-districts with a significant number of business locations, indicating a pattern of economic agglomeration in the coastal areas. This study emphasizes the importance of integrating geospatial data into local economic planning and development, particularly in coastal areas, to support equitable service distribution, improve business quality, and adapt policies to the socio-economic dynamics of the community.
