Fuzzy Multi Attribute Decision Making for Major Selection at Senior High School

Abstract

The major selection of high school students is not only determined on the basis of academic ability but also supported by the interest factor. Students who study a science which suit their characteristics would feel excited when learning the sciences as well as having much influence in academic achievement positively. The purpose of this study is to optimize the process of major selection on the level of senior high school. The model used in the system of decision support was Fuzzy Multiple Attribute Decision Making (FMADM) by the method of Simple Additive Weighting (SAW). SAW method is selected for this decision support system because this method determines weights for each attribute, then it is followed by ranking process that will select the best alternative from a number of alternatives.The technique of Fuzzy Multiple Attribute Decision Making (FMADM) has the role to accommodate the presence of uncertainty in decision making by providing the value of structured preferences. Research results with FMADM SAW method had the value of accuracy which suits the students’ interest as much as 60%, whereas the accuracy obtained in accordance with the reality of majors is as much as 90%.