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AHP–SAW-Based Decision Support System for Culinary Tourism Restaurant Selection in Semarang City

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This research combines AHP and SAW to improve culinary tourism restaurant selection in Semarang, suggesting streamlined decision-making for diners.

Using a combined AHP and SAW approach effectively prioritizes restaurants for culinary tourism in Semarang.
AHP determined the weights of six criteria, ensuring a thorough evaluation of restaurants by participants.
SAW ranked ten culinary restaurants based on surveyed preferences, highlighting Folkcafe at ALVA as the top choice.
The model opens avenues for digital recommendation systems, enhancing visitor experiences in culinary tourism.

Cahaya et al. (2025) studied this question.

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This research combines AHP and SAW to improve culinary tourism restaurant selection in Semarang, suggesting streamlined decision-making for diners.