A comparison of the CRITIC-WASPAS and the Entropy-WASPAS methods to solve the best secondary school teacher selection problem / Nurul Izzatie Nor Hesham, Nur Amy Syuhada Ab Nasir and Siti Farhana Fairuz

In Malaysia, there are hundreds of thousands of secondary school teachers and a few of them have been awarded the title of the best secondary school teacher through a selection. Criteria Importance Through Intercriteria Correlation (CRITIC) - Weighted Aggregated Sum Product Assessment (WASPAS) method and Entropy-WASPAS method are proposed to solve the best secondary school teacher selection problem. The objective of this study is to integrate WASPAS method with CRITIC and Entropy methods in solving the best secondary school teacher problem. Moreover, this study aims to select the best secondary teacher and compare the selection using CRITIC-WASPAS and Entropy-WASPAS methods. The criteria weights are evaluated by the objective weighting methods, which are CRITIC and Entropy methods, while the alternatives will be determined by WASPAS method. The data is collected from a curriculum senior assistant in the secondary school in Terengganu, who represents the decision maker (DM) of this study, and the data is for the selection of the best secondary school teacher for the year of 2022. Student achievement in the curriculum (CI), observation in the classroom through ‘Standard Kualiti Pendidikan Malaysia gelombang 2’ (SKPMg2) (C2), classroom management (C3), student welfare management (C4), and student achievement in co-curriculum (C5) are among the criteria used in the selection process. The alternatives are A1, A2 and A3, which represent three secondary school teachers.