Implementation of a Best Employee Assessment System Using Fuzzy Multiple Attribute Decision Making

Farah Munadia; Purnomo Hadi Susilo; Nur Qomariyah  Nawafilah

doi:10.59934/jaiea.v5i2.2026

Authors

Farah Munadia Universitas Islam Lamongan
Purnomo Hadi Susilo Universitas Islam Lamongan
Nur Qomariyah Nawafilah Universitas Islam Lamongan

DOI:

https://doi.org/10.59934/jaiea.v5i2.2026

Keywords:

Employee Evaluation System, FMADM, Decision Support, Performance Assessment

Abstract

Employee performance evaluation is a crucial process in human resource management to objectively identify individuals with superior performance. At PT Labari Sehat Perkasa, the evaluation process has traditionally been conducted manually, making it prone to subjectivity, inconsistency, and evaluator bias. These issues often lead to less optimal results in supporting managerial decisions such as promotions and rewards. Therefore, this study implements a technology-based employee evaluation system using the Fuzzy Multiple Attribute Decision Making (FMADM) method. This method was chosen for its ability to transform quantitative data into flexible linguistic values, thus enabling a more objective classification of employee performance. The system applies five main criteria: discipline, responsibility, initiative, job performance, and teamwork, each weighted according to its importance. The implementation results show that 82% of employees are categorized as “Good,” 4% as “Very Good,” and 12% as “Fair.” In conclusion, the application of the FMADM method improves the objectivity of evaluations, simplifies decision-making processes, and enhances employee motivation and productivity at PT Labari Sehat Perkasa.

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