INTERNATIONAL JOURNAL OF MECHANICAL COMPUTATIONAL AND MANUFACTURING RESEARCH
Vol. 12 No. 2 (2023): August : Mechanical Computational And Manufacturing Research

Integration of AHP method in best employee selection: a multi-criteria decision analysis approach for decision making

Agung Nugroho (Universitas Diponegoro, Semarang, Indonesia)
Bambang Winardi (Universitas Diponegoro, Semarang, Indonesia)
Ajub Ajulian ZM (Universitas Diponegoro, Semarang, Indonesia)



Article Info

Publish Date
29 Aug 2023

Abstract

In an era of increasingly complex business competition, selecting the best employees has become crucial to ensure organizational productivity and success. In this endeavor, the integration of Multi-Criteria Decision Analysis Method with emphasis on Analytical Hierarchy Process (AHP) has emerged as an objective and scientific approach. This research discusses how the AHP method can be applied in the context of best employee selection by analyzing relevant criteria and pairwise comparisons that are calculated to generate relative weights. Through this process, best employee selection decisions can be made on a stronger and more transparent basis. However, the success of this method depends on the quality of the data and the assumptions used in the calculations. Although complex, AHP can provide valuable insights for decision makers in finding a balance between diverse criteria in the process of selecting the best employee.

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Journal Info

Abbrev

Computational

Publisher

Subject

Automotive Engineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

Description

International Journal of Mechanical Computational And Manufacturing Research invites you to consider submitting original research papers for possible publication after peer review. The scope of this international, scholarly journal is aimed at rapid dissemination of new ideas and techniques and to ...