Abstract
Methods in the Decision Support System (DSS) have their own techniques in solving organizational problems. Determining the appropriate DSS method with the problem is a common difficulty experienced by organizations. The performance of a DSS method can be measured in various ways. This research aims to determine the performance of the two DSS methods, specifically Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) and Election at Choix Traduisant La Realite (ELECTRE) which are applied to the best lecturer selection system. The research was carried out on software designed using efficiency as one of the International Organization for Standardization (ISO) 9126. The performance of both methods tested on validity and sensitivity testing. The results showed that the TOPSIS performance was better in terms of efficiency and sensitivity. TOPSIS execution time is 0.0085 seconds faster and has a greater sensitivity value of 2.18% compared to ELECTRE. Validity result gave the best results reaching 100% to ELECTRE. That means, the ELECTRE calculation can be trusted because it has a perfect level of accuracy.
Highlights
Decision support systems is able to provide information for making decisions from specific semi-structured problem [1]
The performance of the Decision Support System (DSS) method tested to TOPSIS and ELECTRE because those have a fairly long completion in implementation so it is necessary to know the level of sensitivity and validity of both in determining the best lecturer problem
Efficiency is one of the characteristics of International Organization for Standardization (ISO) 9126 testing of software to determine the speed of the system in solving problems and the system's ability in using data [3]
Summary
Decision support systems is able to provide information for making decisions from specific semi-structured problem [1]. Constraints in decision making generally lie in the problem at hand [2] and the appropriate method to solve it. The performance of the DSS method tested to TOPSIS and ELECTRE because those have a fairly long completion in implementation so it is necessary to know the level of sensitivity and validity of both in determining the best lecturer problem. This is the research objective to be achieved, followed by testing the efficiency of the software used in executing the two methods. In [15,16] showed the level of validity generated by ELECTRE
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