<![CDATA[Barista selection is an important process in the coffee shop and hospitality industry because baristas are required to possess not only technical skills but also coffee knowledge, communication, work speed, accuracy, and creativity. Evaluating candidates based on a single criterion can result in subjective and less representative decisions. Therefore, this study aims to develop a Decision Support System (DSS) for barista candidate selection by integrating the Criteria Importance Through Intercriteria Dependence (CRITID) and Simple Additive Weighting (SAW) methods. CRITID is applied to determine objective criterion weights by considering data variation and inter-criteria relationships, while SAW is used to calculate preference values and rank the candidates. The results show that Work Speed (CB-06) has the highest criterion weight of 0.1311, followed by Technical Skills (CB-02) with 0.1275 and Coffee Knowledge (CB-04) with 0.1253. The SAW ranking identifies A7 as the highest-ranked candidate with a preference value of 0.9682, followed by A3 with 0.9603 and A8 with 0.8994. Sensitivity analysis involving 32 scenarios with criterion weight changes of ±0.05 and ±0.10 indicates that the ranking structure is relatively stable, with A7 and A3 consistently maintaining the first and second positions. These findings demonstrate that the integration of CRITID and SAW can support a more objective, systematic, measurable, and stable decision-making process for barista candidate selection.]]>
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