The problem faced by ITBA Dian Cipta Cendikia is related to the assessment of the learning process which is currently still being carried out through filling out questionnaires by students and interviews. The assessment calculation process is still done manually, there needs to be a system that processes data on outstanding lecturers so that from this award all lecturers are motivated to develop their abilities.This research aims to select the best lecturer using the AHP and TOPSIS methods. The criteria used in this study include teaching experience, quality of research or academic contributions, involvement in academic activities, quality of presentation or ability to deliver material, openness to students, and the relevance of the material to the course. The weights for each of the seven criteria were determined through AHP, while TOPSIS was used to determine the best lecturer based on relative preference values. The results of the study indicate that Akni Widyastuti has the highest relative preference value, namely 0.700. The calculations carried out show that the AHP and TOPSIS methods provide structured and objective results in determining the best lecturers based on various relevant criteria. Â Keywords: Analytic Hierarchy Process (AHP), TOPSIS, Decision Support System.
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