A COMPARATIVE ANALYSIS OF SIMPLE ADDITIVE WEIGHTING, WEIGHTED PRODUCT, AND SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUES FOR SELECTING TOURIST DESTINATIONS (A CASE STUDY IN MAGELANG REGENCY)

Abstract

The large number of tourist destinations in Magelang Regency forces tourists to choose which destinations they will visit. The numerous criteria used in selecting tourist destinations makes it increasingly difficult for tourists to determine which destinations to visit. Therefore, a decision support system is needed to help tourists more effectively and efficiently determine which tourist destinations they will visit. This study used the Weighted Product (WP), Simple Additive Weighting (SAW), and Simple Multi-Attribute Rating Technique (SMART) methods. These three methods were then compared to determine which method was most appropriate. The comparison between the Simple Additive Weighting (SAW), Weighted Product (WP), and Simple Multi-Attribute Rating Technique (SMART) methods resulted in a total percentage of 99.9934% for the SAW method, which is higher than the 99.9933% for the WP and SMART methods. Therefore, the SAW method is the most relevant method for solving the problem of determining tourist destinations in Magelang.