Decision Support System: A Prototype for Determining Rice Price Based on Its Quality Measurement

Abstract

Quality measurement of rice is an important and necessary activity before it is sold to market. By distinguishing its quality, pricing will also be suitable by the physical characteristics of rice delivered by farmers. This paper proposed a prototype of DSS application to assist intermediaries in determining the price of rice according to its quality. Fuzzy triangular numbers and AHP method is used to evaluate and assess the rank of rice quality. The evaluation criterion are whiteness, grain shape, foreign materials, moisture content and damaged grains. Pricing is based on the Indonesian domestic retail prices in 2017. Keywords-decision support system; rice quality, priceI.