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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Anni Tias Lestari
Universitas Pamulang
Automotive Engineering Computer Science & IT Control & Systems Engineering

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Implementation of the MOORA Method in a Web-Based Decision Support System for Selecting Cat Food for Cats with Digestive Disorders Anni Tias Lestari; Adam Muiz
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 6 No. 1 (2026): October 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v6i1.2697

Abstract

Selecting appropriate food for cats with digestive disorders is a challenge for many pet owners due to the variety of products available with different nutritional contents, prices, and brands. Inappropriate food selection may affect the recovery process and overall health of cats. This study aims to develop a web-based Decision Support System (DSS) that assists users in selecting the most suitable cat food by implementing the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method. The system evaluates several criteria, including price, moisture content, protein content, fat content, and crude fiber content, to rank available alternatives objectively. The system was developed using the Personal Extreme Programming (PXP) approach and implemented as a web application to improve accessibility and usability. The results show that the MOORA method successfully provides objective recommendations based on the specified criteria and simplifies the decision-making process for users. System testing using Black Box Testing, White Box Testing, and User Acceptance Testing indicates that all system functions operate correctly and meet user requirements. Therefore, the proposed system can effectively support pet owners in selecting appropriate cat food while improving service quality at pet stores.
Co-Authors Adam Muiz