One of the major obstacles in increasing the agricultural production yields is the inappropriate management of land use due to the differences in land biophysical characteristics in each region. Therefore, it is necessary to have spatial-based land use management that is appropriate for handling agricultural land. This research aims at structuring geospatial information of agricultural land biophysical characteristics and agricultural land appropriateness (potential and limiter) for food plants development in Pangkep Regency. This research uses the up-to-date approach of multi-scale observation, so the problems becoming the restricting factors of productivity can immediately be overcome. The method used consists of 2 stages, namely stage 1, analysis of agricultural land (biophysical) climate and land characteristics through land survey, laboratory analysis, and land characteristic spatialization; stage 2, analysis of agricultural land appropriateness (potential and limiter) using land appropriateness method offuzzy set/FAO, satellite image information extraction, ground truth, and ground sampling. The results of the research are in the form of geospatial information on agricultural land biophysical characteristics and agricultural land appropriateness (potential and limiter) for food plants development in Pangkep Regency. With the information, decision makers will have more ease and they integrate into making policies for agricultural land use management in Pangkep Regency that will end up aiming to increase food production.
Serdang Bedagai is one of the rice granaries in North Sumatera Province, but its agricultural potential has not been well managed due to lack of water for irrigation, especially in the dry season.With bajayu weir construction, is expected to improve water demand forclean water and irrigation for agricultural processes can be developed and managed bygood.The cost of construction of the dam construction is very large, so it needs to be reviewed if the benefits and income generated are proportional to the costs and losses incurred.The final goal of this research is to conduct financial and economic analysis in the construction of bajayu weir.This study uses financial and economic analysis using Net Present Value (NPV), Internal Rate of Return (IRR), Benefit cost Ratio (BCR) indicators and also analyzes sensitivity due to cost changes.Optimal handling is estimated after 10 years, so within that time the benefit increases linearly until the 13th year and will remain from year 13 to the next.From the calculation of finance development of bajau irrigation area obtained NPV = Rp.1.778.603.070.507,62-, IRR = 27%, BCR = 4.6.And from the economic calculation of the area of irrigation bajayu obtained NPV = Rp.1.235.038.404.979,95-, IRR = 32% BCR = 6.92.And calculation of sensitivity analysis has also been done to change of cost and benefit equal to ± 5% and ± 10% for financial and economic analysis indicate that project plan still very feasible.
The increasingly growing and detailed spatial data onto land resources required a precise method for the data management can be more effective. Generally, spatial data onto land resources is categorized by sharp boundary and role of every land attribute to the land suitability is equated. On the other hand, the reality of land attribute in the field varied greatly and did not have sharp boundaries also the role of each attribute towards land suitability was varying. It caused the detailed data could not be presented properly so it did not reflect the actual condition at the field. The continued approach from fuzzy set in GIS is a method that can handle such problems. This study examined land characteristics in Pangkep District using a continuous fuzzy set approach from GIS raster. The research was conducted by using exploratory method (field survey and laboratory analysis) for the review scale. The results were then analyzed using the Semantic Import Model (SIM) fuzzy set method of GIS raster. The considered value of the attribute was converted into a general membership value (0 to 1.0), according to class limits that were determined by the Agricultural Research and Development Agency criteria (2011) adapted from the FAO criteria (1976) for planned land use. The results of land characteristic analysis by continuous fuzzy set approach were divided into three groups i.e. 1) climate characteristics: rainfall, temperature, and dry month, 2) physical characteristics of soil: slope, texture, surface rock, soil depth, soil drainage, erosion hazard, and flood hazard, and 3) soil fertility characteristics: Cation Exchange Capacity (CEC), soil acidity, organic C, and salinity. The index value of each land characteristic varied from 0 (minimum) to 1.0 (maximum), according to the prospective of each land characteristics for planned land use. The results are presented in a detailed raster GIS form so it is very effective to inform and represent the actual field conditions.
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.
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