DECISION SUPPORT SYSTEM FOR DETERMINING NEW BARISTA CANDIDATES USING MOORA METHOD AT BROUW COFFEE SHOP

Tasya Athifa; Ahmad Zakir; Hasdiana Hasdiana

DECISION SUPPORT SYSTEM FOR DETERMINING NEW BARISTA CANDIDATES USING MOORA METHOD AT BROUW COFFEE SHOP

Tasya Athifa, Ahmad Zakir, Hasdiana Hasdiana

Abstract

Barista is a profession whose job is to make coffee drinks and serve them to customers. Baristas are one of the important factors for the success of a coffee shop because having a good barista will create good food and drinks as well. Brouw is one of the coffee shops that does not have a scoring system in determining prospective baristas. The results of decisions are only based on personal intuition so that the assessment process is not objective. Therefore, a decision support system is needed to assist decision makers in determining new barista candidates. The decision support system method used in this study is the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method and is designed with PHP programming language, using MySQL Database, and Laravel Framework. There are nine alternatives and five criteria, namely coffee blending skills, work experience, appearance, salary, and the ability to use a coffee machine. The application of the MOORA method resulted in the selection of an alternative Anna Putri with a rating value of 0.2502 as a new barista at Brouw coffee shop.

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