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All Journal Journal of Security, Computer, Information, Embedded, Network and Intelligence System Indonesian Technology and Education Journal
Awaliah, Widiarti
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Computer Science & IT Education Engineering

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Penentuan Evaluasi Kinerja Karyawan Berbasis Logika Fuzzy Mamdani Muharni, Muharni; Awaliah, Widiarti; Surianto, Dewi Fatmarani
Journal of Security, Computer, Information, Embedded, Network, and Intelligence System Vol. 2, No. 2 (Desember 2024)
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/scientist.v2i2.20246

Abstract

Fuzzy logic refers to a form of logic derived from fuzzy set theory, which is used for estimation reasoning. In this context, fuzzy logic allows us to represent and process linguistic information and subjective attributes related to the real world. This study aims to apply the Fuzzy Mamdani method in determining employee performance evaluations at PT. Luwu Tongkonan Utama, Tonasa cement distribution company. This method is used to overcome uncertainty in evaluating employee performance by converting numerical data into linguistic data. The results of this study can show that fuzzy mamdani can be used to measure employee performance. Of the 31 data used, 29 employees are included in the good set, while the other 2 employees have very good performance.
Evaluasi Kinerja Karyawan PT. XYZ dengan Pendekatan Metode Fuzzy Mamdani Muharni, Muharni; Awaliah, Widiarti; Surianto, Dewi Fatmawati
Indonesian Technology and Education Journal Volume 3 No. 1 Februari 2025
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/itej.v3i1.567

Abstract

Employee performance evaluation is vital for organizational effectiveness, ensuring fair and objective assessments. PT. XYZ, a cement distributor, struggles with subjective evaluation criteria, prompting the need for a more accurate approach. This study applies the Fuzzy Mamdani method to improve performance assessment. Data from 31 employees were collected through literature reviews, interviews, and observations. The system uses salary, age, and years of service as input variables, while the output variable represents employee performance. The Fuzzy Mamdani method processes data through fuzzification, fuzzy inference, and defuzzification to handle uncertainty and enhance evaluation fairness. The results show that 29 employees fall under the "Good" performance category, while 2 employees are classified as "Very Good." This demonstrates that the method provides more precise and consistent assessments compared to traditional techniques. Implementing this approach enables companies to make better-informed human resource decisions and promote employee growth. This study underscores the potential of fuzzy logic in refining performance evaluations, contributing to a more transparent and equitable assessment system
Co-Authors Dewi Fatmarani Surianto Muharni Muharni Surianto, Dewi Fatmawati