Spatial Analysis in GIS for Planning Regional in Supporting the Superior Food Commodities

Abstract

The development of sustainable superior food commodities requires planning that can accelerate competitiveness and regional potential in the form of spatial-based data. This research will determine the leading commodities of the food crops sub-sector in Pangkep Regency, South Sulawesi. The data used are secondary data series of crop area in the period 2014-2018 and primary land suitability data. The analysis was carried out in two stages: i) suitability analysis of superior commodities which included conformity analysis with commodity regional map, matching sector analysis (LQ), employer absorption analysis (Shift Share), analysis of marketing coverage ii) Analysis of selected superior commodities will be developed using 3 stages of analysis, namely: 1) identification of commodities cultivated in the sub-district, 2) analysis of the economic value of superior commodities (LQ analysis, differential shift analysis, trend analysis), 3) determining superior commodities according to economic value analysis. The results of the study showed there are three main commodities, namely paddy, maize and soybeans, food sub-sector commodities and the area obtained through the process of overlaying land suitability data using GIS. The overlay results obtained an area of paddy development area of 6,440 ha, maize covering an area of 5,103 ha, and soybean covering an area 2,762 ha. The results are presented in the form of regional maps that are very detailed and effective in providing information about superior commodities and their suitability for their distribution areas.