The fuzzy logic analysis accuracy of the mamdani method with multiple linear regression of the least squares method in determining national salt production

Salt is a strategic commodity because salt is needed for consumption, industry, pharmaceutical and oil drilling. Referring to the national salt balance issued by the Ministry of Marine Affairs and Fisheries (KKP) in 2014 stated the acceleration of the increase in average salt consumption in contrast to the amount of national salt production produced each year. The method used in this study is the fuzzy logic of mamdani method and multiple linear regression of the least squares method to predict the amount of national salt production. This prediction aims to assist the government in making policies related to the issue of national salt production. In this study, there are 5 stages of analysis which the last stage is a relative error test by comparing the accuracy of the predicted results of the national salt production using the fuzzy logic of mamdani method and multiple regression methods of the least squares method. Thus it obtained a relative error average for the Fuzzy logic of the Mamdani method was about 66.58 and the average relative error of the least squares method regression analysis was 79.93.