Decision Support System for Tourist Destination using the Combination of AHP and SAW

Traveling is one of the popular activities today. When traveling, the tourist usually decides to visit the interesting tourism destination. The number of tourist destinations available, often makes the tourist confused to select the destination according to their preferences. This paper aims to demonstrate multi criteria decision making (MCDM) by combining Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). The standard SAW method uses the criteria weight input by user. Users are often confused to give the score that represent their preference for the criteria appropriately. In this study, the AHP was used to get the weight of criteria based on user’ priority, while the SAW was used to rank all the alternatives. The case study used four criteria and ten alternatives. The result shows that combining AHP and SAW can be applied to the case study. The combining method work well by result the criteria weight based on the user preference and then rank all alternatives based on the alternatives score in each criterion and the weight of each criterion. The case study show that value of consistency ratio was 0.043, which means the comparison matrix inputted by user, was consistent.