Group decision support system model to determine supervisor lecturers for student creativity programs

Abstract

A group decision support system (GDSS) model was created in this study by implementing the weighted product (WP) method and the borda method to determine prospective assistant or supervisor lecturers for student creativity programs (PKMs) that are routinely carried out every year at the Sriwijaya State Polytechnic. This study applies 5 criteria, including i) education level, ii) academic position, iii) group tenure, iv) lecturer certification, and v) achievement in the field of three pillars of higher education. The decision-makers in this study consisted of the head of the department (DM–1), the secretary of the department (DM–2), and the head of the study program (DM–3) where they carried out the decision-making process in groups. The WP method is used to make preferences independently of the decision-makers to determine the best alternative based on predetermined criteria. The borda method is currently used to aggregate the decision-makers to obtain the final result in the form of an alternative ranking. The results of this study are sufficient to be used as a reference in determining the supervisor lecturer for PKM activities at the Department of Computer Engineering, State Polytechnic of Sriwijaya.

The model of decision support system using hybrid method and actual weighting for the study program ranking

“…As the weighting model in this research used actual weighting by detailing the criteria which had been determined to be sub criteria and actual weight which had been determined. Weight is a value of a criteria indicator [31] and according to [32] there are some weighting models in the decision support system namely percentage approach, fuzzy logic approach, and actual value approach. This actual value approach has the score range from 0 until 10 or from 0 until 100 with normalization ∑𝑊𝑗 = 100%.…”