Decision Support System with Fuzzy Multi-Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) In Laptop Vendor Selection

Abstract

This study proposes Fuzzy Multi-Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) methods in developing a decision support system for selecting a laptop vendor. The problem faced is whether the FMADM process with SAW is a right and appropriate method to support selecting the best laptop vendors from existing candidates, and who is the best laptop vendor from the alternatives. So research is needed to help management determine the right method in choosing the best laptop vendor. Another study concluded that the Fuzzy Logic method is very flexible, can create a nonlinear function model which level is very complex. FMADM is one of a method in DSS to find the best alternative from many alternative candidates with certain criteria. While the SAW method is used to find optimal alternatives with specific criteria through a weighted sum of each alternative's performance ratings, the criteria could be found in qualitative or quantitative, and some are still fuzzy. Therefore, the FMADM method with SAW was declared appropriate and right in this research. The result of this study is an application of decision support systems, and who is the best laptop vendor candidate to be chosen by management. From the User Acceptance Test (UAT) results, it can be concluded that the user strongly agrees with the decision support system application and the application of this method.