Application of fuzzy inference system by Sugeno method on estimating of salt production

Abstract

Salt is one of the most important needs in everyday life. Making traditional salt largely is done by smallholder farmers in addition by manufacturers of industrial salt. factors that affect the production of salt include seawater, soil, water influence and weather conditions including rainfall wind speed and solar radiation or long dry erratic, these conditions obviously affect the salt farmers that will affect the production quantities of salt produced by salt farmers. In this study, the fuzzy logic method is applied to Sugeno fuzzy inference systems to estimate the production of salt by variables - variables that affect it. This study aims to estimate how much production by applying fuzzy inference systems zero-order Sugeno method based on the variable wind speed, solar radiation, rainfall and the amount of production. Retrieval of data obtained from the Air Quality Meteorology and Geophysics. salt farmers in Pamekasan District of Pademawu Village Majungan. Data taken within 2 years per week from June to December of 2014 and 2015. The Sugeno fuzzy logic model in this study using output (consequent) in the form of equation constants (Sugeno models Order zero). Apparently from the research results obtained by the error value most low at 0.0917, so it can be said to be close to zero.