Decision Support System for Selecting Quality Rice at Toko 2 Arshya Using the Multi-Objective Optimization by Ratio Analysis (MOORA) Method

Abstract

Fluctuations in the quality of rice crops, which are influenced by seasonal uncertainty and pest attacks, are the main challenges in determining the right selling price of rice. This inconsistent quality makes it difficult for sellers to have objective and fair price reference standards. Therefore, a mechanism is needed that can address this problem systematically. As a solution, a computer-based Decision Support System (SPK) was developed to assess the quality of rice. This system is designed to help decision-making by analyzing various quality criteria that have been set, so that it can be an objective benchmark in determining the selling price. This system implements the Multi-Objective Optimization by Ratio Analysis (MOORA) method. The MOORA method was chosen because of its relatively simple and efficient calculations, but it has a good degree of selectivity in choosing the best alternative from several options. The main advantage of MOORA lies in its ability to take an optimization approach to several objectives or criteria that often contradict each other, such as quality versus price, simultaneously. Thus, this method can produce comprehensive and optimal decisions, providing accurate rice quality recommendations as a basis for more rational and measurable pricing.