Prediction of population growth using Sugeno and Adaptive Neuro-Fuzzy Inference System (ANFIS)

Abstract

Government use population growth data to design sustainable policies frameworks. This research aims to predict the population growth using adaptive neuro-fuzzy inference system (ANFIS) and Sugeno as comparison method. The ANFIS consists of determining layers (1 to 5), system design, implementation, and system testing stage. The results of using ANFIS is 0.44% while prediction test of using Sugeno is 16,09% in year 2010. The Sugeno result is categorized as a negative growth since it is far up from the ideal rate set by the government of 0.5% per year.