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All Journal Journal Of Artificial Intelligence And Software Engineering
Romly, Moh Zaini
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Computer Science & IT

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Decision Support System for Employee Performance Evaluation Using SMART Method Romly, Moh Zaini; Hermanto, Hermanto; Lidimilah, Lukman Fakih
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7332

Abstract

In the midst of increasingly fierce industrial competition, objectively assessing employee performance is very important to support accurate managerial decision making. This research develops a web-based Decision Support System (DSS) using the SMART (Simple Multi-Attribute Rating Technique) method to assess employee performance at the CV. Hafas P2S2 Drinking Water Factory. The main innovation of this research is the integration of the SMART method with a web interface specifically designed for small industries, the application of dynamic weights according to management priorities, and the validation of assessment results through the comparison of manual and automatic calculations, which is rarely done in previous studies. The system built with PHP and MySQL through a prototyping approach is proven to be able to assess employee performance objectively, systematically, and efficiently, and reduce subjective bias by 40% compared to manual methods.
Co-Authors Hermanto Hermanto Lidimilah, Lukman Fakih