Decision Support Model to Determine the Best Employees (Mechanic) using Fuzzy Logic and Profile Matching

Journal of computer sciences

article

Hiromi Jorge Akbar Aljofarinski¹  Ditdit Nugeraha Utama¹ 

[1] Department of Computer Science, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University

关键词: Decision Support Model;    Fuzzy Logic;    Profile Matching;    Best Employee;    Mechanic;   

DOI  :  10.3844/jcssp.2022.540.554

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

In a company, verifying the best employees is practically very essential. Knowing the best employees or understanding each employee's performance can be an advantage for the company to evaluate the whole company's performance and improve the lack. Determining the best employees is also necessary for giving appreciation to employees and is expected to be able to expand the performance and morale of employees. This study aims to build a Decision Support Model (DSM) to determine the best employee using a combination of fuzzy logic and profile matching methods. In developing the model, there are twelve selected parameters considered; i.e., performance problem diagnosis, problem-solving, preventive action, concept, time management, disciplinary, work management, efficiency, education, support skills, and business workflow. Finally, the model has been methodologically constructed. It is operated in determining the best employee (especially for mechanic staff in workshop) thru evaluating all employees' performance.

【 授权许可】

CC BY