Decision Support System for Selecting the Best Hotel Using the Multi-Objective Optimization Method on the Basis of Simple Ration Analysis (MOOSRA)
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Mesran, Fahri Nurwahid, Farel Notafelling Sarumaha, Ridha Maya Faza Lubis

Decision Support System for Selecting the Best Hotel Using the Multi-Objective Optimization Method on the Basis of Simple Ration Analysis (MOOSRA)

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Introduction

Decision support system for selecting the best hotel using the multi-objective optimization method on the basis of simple ration analysis (moosra). Select the best hotel effortlessly using a Decision Support System powered by MOOSRA multi-objective optimization. It evaluates various criteria to simplify your hotel choice.

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Abstract

Selecting the best hotel is an important decision-making process that requires careful consideration of various criteria. In this study, we use the Multi-Objective Optimization by Simple Ratio Analysis (MOOSRA) method to determine the most suitable hotel based on a set of predetermined criteria. The MOOSRA method is a multi-objective optimization technique that uses a simple ratio of the overall favorable and unfavorable criterion scores to avoid negative values and reduce the impact of large variations in criterion values. This study aims to develop a decision support system that helps customers choose the best hotel based on criteria. The MOOSRA method is applied to a decision matrix constructed from hotel attributes, and the overall performance score of each hotel is calculated using a simple ratio formula.



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