Prediction analysis model of nira production in arenga pinnata by using adaptive neuro-fuzzy inference system method

Abstract

Arenga pinnata is known as a tree that produces sap, a plant with high economic strategic value, but until now it has not been optimal in its development related production. The purpose of this study was to analyze the prediction of palm sap production. The methodology used in this study was the Adaptive Neuro-Fuzzy Inference approach with 77 respondents of palm farmers in Majalengka Regency. The results showed that palm production based on analysis using the Adaptive Neuro-Fuzzy Inference System (ANFIS) found that the level of influence on each variable was very close, namely diameter, tree height, height, tree age and shape of the land on sap production.