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 TOPSIS hybrid methods namely AHPTOPSIS and SAW-TOPSIS to determine the accuracy and calculation of the criteria weight, 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 AL29 and AL90, the accuracy of AHP-TOPSIS is superior then SAW-TOPSIS when compared with manual calculations. The criteria weight for AHPTOPSIS is obtained from the Pairwise matrix results and must meet the requirements that the CR value is below 0.1, while the criteria weight for the SAW-TOPSIS is only obtained from the decision-maker.