Implementation of simple additive weighting algorithm in decision support system

Abstract

Abstract The research focused on the problems of buying a second-hand Toyota vehicle. The ability to make fast, precise and accurate decisions will be the key to success in today’s global competition. The number of factors that need to be considered when a purchaser wants to buy a second-hand car also leads the purchaser to make the wrong choice when selecting a second-hand car to buy. This problem is solved by developing a support system that helps consumers make choices about purchasing second-hand cars. This Decision Support System is generated using the Simple Additive Weighting (SAW) method. From this research it can be concluded that the SAW method is very appropriate to use as a decision support tool where three best second-hand car alternatives are obtained consisting of Toyota Fortuner with a preference value of 101, Toyota Rush car with a preference value of 90.4, and the Toyota Kijang Innova with a preference value of 88.6.

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