In the process of determining the best lecturer by students, there are several criteria, including in terms of explaining the material, teaching methods, which make it easier for students to follow their courses. To assist in the selection process for someone to become the best lecturer for students, a decision support system is needed using Fuzzy Multiple Addictive Decision Making (FMADM). This study uses the SAW (Simple Addictive Weighted) method based on predetermined criteria. The SAW

more »

... can determine the selection of the best lecturer based on predetermined criteria for students, as well as looking for the weight value of each attribute to get the best lecturer. 64 This work is licensed under a Creative Commons Attribution 4.0 International License The steps in the SAW method are: 1. Make a decision matrix R measuring m x n, where the alternative is selected and n = criteria. 2. Give each alternative an X value (i) on each criteria (j) which has been determined, for example : i = 1, 2,...m dan j = 1,2,...n on the decision matrix R. as shown in Fig. 1 66 This work is licensed under a Creative Commons Attribution 4.0 International License D. Preference Calculation (Vs) is the result of normalization entered into the Preference formula (Vi), namely formula (3) as provided that the weight (W) = [0.4 0.25 0.15 0.1 0.1]. To get preference (Vs), each normalized alternative column is multiplied by a predetermined weight. The calculation results are shown in table 5.