Implementation of Fuzzy Multiple Criteria Decision Making for Recommendation Paddy Fertilizer

Abstract

Fertilizers have an important role in increasing rice production. Rice plants need nutrients in sufficient quantities, the use of fertilizers in accordance with soil nutrient needs will get good plant growth and adequate yield, but the dosage of its use must be appropriate to reduce the impact on the environment. Determination of Dosage The use of fertilizer N, P, K in lowland rice is based on local location according to soil nutrient status and several other criteria. This study aims to develop simulation tools to recommend N, P, and K fertilizer doses for lowland rice in Indonesia. Modeling criteria for decision making with the Fuzzy MCDM and TOPSIS methods used to determine the chosen alternative solutions. Data testing results based on specific five locations showed accuracy of fertilizer recommendations with expert comparisons, resulting in a minimum accuracy of 75%, a maximum accuracy of 99.5% and an average accuracy of 80%. The application of the Fuzzy TOPSIS method shows that the system can provide alternative solutions based on the criteria used as the basis for determining fertilizer dosages for location-specific lowland rice.

Keywords: MCDM, Fuzzy, DSS, TOPSIS, Paddy