Determining potential wheat [Triticum aestivum] growing areas in Indonesia by using the spatial compromise programming technique
2006
Gusmayanti, E.(Tokyo Univ. of Agriculture and Technology, Fuchu (Japan)) | Pertiwi, S. | Handoko | Risdiyanto, I. | Machida, T.
In this study, we sought to identify potential wheat growing areas by considering five factors. The factors were wheat productivity, harvest timing, labor sufficiency ratio, economic relative value and potential profit. Productivity and harvest timing were derived from a wheat simulation model, while the other three factors were calculated from data consisting of labor availability, the prices of agricultural commodities, and agricultural production costs. The labor sufficiency ratio was defined as the ratio between the number of required laborers and number of available laborers during the wheat growing period. The relative economic value was calculated as the ratio of the potential profit gained from wheat growing to the profit gained from a major existing crop, while potential profit was calculated as the difference between potential revenue and production cost. To allow for spatial variability in these criteria, we applied spatial compromise programming (SCP), an enhanced method of compromise programming (CP) by integrating a conventional CP with geographical information system (GIS) tools. The best compromise solution is indicated by a minimum Lp metric value, the cumulative distance of all criteria from ideal values. The value of this metric depends on the weighting applied by decision makers to each criterion. Lombok Island was chosen as the study area. By using default weighting values, it was found that potential wheat growing areas were located in the middle of the island.
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