Perbandingan Metode BMW dan Marcos Pada SPK Pemilihan Karyawan Terbaik Di RN Block
DOI:
https://doi.org/10.32493/jatimika.v7i2.55512Keywords:
BWM, MARCOS, Decision Support System, MCDM, MobileAbstract
This study aims to evaluate and compare the effectiveness of two methods in a mobile-based decision support system for selecting the best employees in the RN BLOCK industry: the Best-Worst Method (BWM) and the Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). BWM is used to determine the weight of each criterion based on management preferences, while MARCOS is used to rank employees according to their performance on those criteria.
The testing was conducted using two weighting scenarios: equal weights and BWM-derived weights. The results show that in both scenarios, employee A2 (Dadang) consistently ranked first, with final scores of 1.7903 and 1.6300, respectively. However, changes occurred in the rankings of other alternatives, indicating the system’s sensitivity to criterion weights. This sensitivity is mainly influenced by the dominant weight of the Work Quality criterion (C3), which reached 0.668 in the BWM results.
The implementation of the mobile-based system proved to improve the efficiency of the assessment process, reduce subjectivity, and provide transparency in decision-making. Therefore, the integration of BWM and MARCOS is effective in producing a more objective, measurable, and industry-aligned employee selection process.
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