TOPSIS Hybrid Methods Comparison, AHP-TOPSIS and SAW-TOPSIS
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Description
TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is one method that is often used in decision support systems, TOPSIS has a weakness in weight calculations that can be overcome by combining other methods. The purpose of this study is to compare 2 hybrid TOPSIS methods, namely AHP-TOPSIS and SAW-TOPSIS to determine the accuracy and calculation of the weight of the criteria, the data used in the calculation are lecturer data of 145 people with 8 criteria, while the accuracy calculation uses the Hamming Distance method. This research has succeeded in implementing the 2 hybrid TOPSIS on lecturer rankings with the same top-ranking results namely AD29 and AD90, the accuracy of AHP-TOPSIS is superior to SAW-TOPSIS when compared to manual calculations. The weight of the criteria for AHP-TOPSIS is obtained from a special calculation, while the weight of the criteria for the SAW-TOPSIS is obtained from the decision-maker.
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IJCT-V9I4P2.pdf
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(1.3 MB)
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