Prediction of Fertilizer Receipt Amount Using Fuzzy Tsukamoto Method

Abstract

In Indonesia, many people work in agriculture. Fertilizer is one of the most important needs of farmers in agriculture. UD. ARTO JOYO is an agricultural shop that sells various agricultural equipment, plant seeds, fertilizers, and others for farmers. One of the most sought-after products by farmers is fertilizer. More than thousands of kilograms of fertilizer are given to farmers almost every month. However, because it only depends on feelings about how much fertilizer is received, it is often unstable. By using the Fuzzy Tsukamoto method, this study aims to help solve this problem, namely to estimate the amount of fertilizer to be received. Inventory, distribution, and remainder are the input variables used, and receipts are the output variables sought. The results of the validation test with MAPE showed an error of 13.59%. These results indicate that the fertilizer estimation system with Fuzzy Tsukamoto has a good level of validity.