Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE
., Kusdianto
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Veterinary

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sistem Pendukung Keputusan dengan Metode Simple Additive Weighting (SAW) Untuk Evaluasi Karyawan di PT. SJAL Silaut Suryana, Febriyanno; ., Kusdianto
Jurnal Penelitian Dan Pengkajian Ilmiah Eksakta Vol 5 No 1 (2026): Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jppie.v5i1.2454

Abstract

The use of information technology to support work activities has become an essential requirement to achieve effective and efficient performance. Human limitations in processing highly complex data are a key reason why technology has become a primary alternative solution. This study aims to develop a web-based Decision Support System (DSS) to assist in the evaluation of the best employees at PT SJAL. Previously, the evaluation process was conducted manually, which often led to issues such as subjectivity in assessment, time inefficiency, and suboptimal data management. The proposed system is designed to provide a more objective, accurate, and efficient solution by applying the Simple Additive Weighting (SAW) method. The SAW method was selected due to its ability to handle multi-criteria decision-making in a simple and effective manner through weighted summation of each alternative based on predetermined criteria. The criteria used in this study include discipline, work quality, attendance, teamwork, and initiative. The system implementation was developed using the PHP programming language and a MySQL database. The development stages consist of literature review, data collection, requirements analysis, system design using UML, implementation, and system testing. The results indicate that the system is capable of accelerating the evaluation process, improving accuracy, and generating more objective and measurable employee evaluation recommendations. Therefore, the application of the SAW method is expected to serve as an effective decision support tool for the management of PT SJAL in determining the best employees.
Co-Authors Suryana, Febriyanno