PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DAN WEIGHTED PRODUCT DALAM PEMILIHAN CALON DOSEN

Abstract

The selection of qualified and competent lecturer candidates plays an important role in improving the quality of higher education. However, manual selection processes are often prone to subjectivity, making it necessary to implement a decision support system that can provide more objective and structured recommendations. This study aims to apply the Simple Additive Weighting (SAW) and Weighted Product (WP) methods in the selection of lecturer candidates at University X. The evaluation criteria include educational background, academic achievement, scientific publications, technical competence, and soft skills. The SAW method utilizes normalization and weighted summation to calculate preference values, while the WP method applies weighted multiplication to determine the final score of each alternative. The results show that both methods are capable of processing candidate data effectively and supporting objective decision-making. Based on the calculations, alternative A1 obtained the highest score and was recommended as the best lecturer candidate at University X.