Open AccessSensitivity analysis of fuzzy simple additive weighting to determine land suitability for corn in Kupang Regency
Author(s) -
Dony Martinus Sihotang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/823/1/012054
Subject(s) - sensitivity (control systems) , fuzzy logic , weighting , soil texture , mathematics , environmental science , agricultural engineering , irrigation , statistics , hydrology (agriculture) , soil science , computer science , agronomy , geotechnical engineering , engineering , artificial intelligence , soil water , medicine , electronic engineering , biology , radiology
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%.