Sensitivity analysis of fuzzy simple additive weighting to determine land suitability for corn in Kupang Regency

Abstract

Abstract The change in geographical states, such as weather and climate, makes it difficult for farmers to prepare adequate land for corn cultivation. This research analyses the fuzzy simple additive algorithm used to determine land suitability in Kupang Regency and the use of sensitivity analysis to obtain information on the most sensitive variable(s). Two testing models were conducted in this research, namely, accuracy and sensitivity tests. The result of the accuracy test showed 80% precision, while sensitivity showed that rainfall, soil depth, and C-Organic were highly sensible with a percentage of 100%, followed by slope and soil texture at 66%. Furthermore, the irrigation system, spring, and level of disaster had the same percentage of 33.33%.