Bulletin of Informatics and Data Science
Vol 5, No 1 (2026): May 2026

Comparative Analysis of MCDM Methods in Employee Award Ranking

Roznim binti Mohamad Rasli (Sultan Idris Education University, Perak)
Mesran Mesran (Sekolah Tinggi Ilmu Manajemen Sukma Medan, Medan)
Ridha Maya Faza Lubis (Southern Taiwan University of Science and Technology)



Article Info

Publish Date
30 May 2026

Abstract

Awards are an important form of appreciation for outstanding employees, but the process of selecting recipients is often faced with various challenges, especially in assessing subjective aspects of performance. To overcome this, the Multi-Criteria Decision Making (MCDM) method can be an effective solution. MCDM offers a systematic framework for evaluating various alternatives (in this case, employees) based on a number of relevant criteria. By using the MCDM method, the process of selecting award recipients can be carried out more objectively and transparently. Some commonly used MCDM methods, such as MAUT, OCRA, and CoCoSo, have their own advantages and disadvantages. This study aims to compare the three methods specifically in the context of selecting employee award recipients. The final results obtained show that the best alternative is A6, where the results of the three methods look the same position or location in the ranking. After a comparative analysis of the three methods, it can be concluded that the OCRA method is the best method in terms of ranking consistency compared to the other two methods. Thus, it is hoped that recommendations for the most suitable MCDM method can be obtained to be applied in similar situations

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Journal Info

Abbrev

bids

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

The Bulletin of Informatics and Data Science journal discusses studies in the fields of Informatics, DSS, AI, and ES, as a forum for expressing research results both conceptually and technically related to Data ...