Jurnal Media Computer Science
Vol 5 No 4 (2026): Oktober

Implementation of The Organization Rangement Synthese Dedonnes Relationnelles (ORESTE) Method in Determining The Quality of Oyster Mushrooms Suitable For Marketing

Dinta Putri Nabila (Universitas Dehasen Bengkulu)
Dewi Suranti (Universitas Dehasen Bengkulu)
Ila Yati Beti (Universitas Dehasen Bengkulu)



Article Info

Publish Date
26 Oct 2026

Abstract

Oyster mushrooms are a horticultural commodity with high economic value and are highly sought after by the public. However, determining the quality of oyster mushrooms suitable for marketing is often done subjectively, potentially leading to inconsistencies in decision-making. Therefore, this study aims to implement the Organization Rangement Synthese Dedonnes Relationnelles (ORESTE) method to objectively and systematically determine the quality of oyster mushrooms suitable for marketing. The ORESTE method is a Multi-Criteria Decision Making (MCDM) method capable of ranking alternatives based on preference relationships between criteria without requiring data normalization. The criteria used in this study included color, size, texture, freshness, and physical condition of oyster mushrooms. The results showed that the ORESTE method can provide an accurate ranking of oyster mushroom quality and assist business owners in determining marketable oyster mushrooms. Therefore, the implementation of the ORESTE method is expected to be an effective decision support solution for improving the quality and competitiveness of oyster mushroom products in the market.

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Journal Info

Abbrev

jmcs

Publisher

Subject

Computer Science & IT

Description

Jurnal Media Computer Science merupakan jurnal nasional yang diterbitkan oleh Universitas Dehasen Bengkulu sejak tahun 2022. Jurnal Media Computer Science memuat artikel hasil-hasil penelitian di bidang Komputer, Sistem Informasi dan Teknologi. Jurnal Media Computer Science berkomitmen untuk menjadi ...