Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Emiliana
STMIK EL RAHMA Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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

Found 1 Documents
Search

 1 
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode SAW Emiliana; Minarwati
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 24 No 3 (2026): September 2026
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v24i3.233

Abstract

Manual employee performance assessment is often subjective, potentially leading to dissatisfaction and errors in decision-making. This study aims to develop a decision support system (DSS) model for selecting the best employee at PT Karya Mandiri Sejahtera by applying the Simple Additive Weighting (SAW) method. The SAW method involves a structured calculation process—specifically, the normalization of the decision matrix based on benefit and cost attributes, followed by a ranking process using a weighted linear combination. The study evaluates five employee alternatives based on four criteria: discipline, work quality, responsibility, and the number of late arrivals. Test results demonstrate that the SAW method consistently produces alternative rankings that are mathematically sound. The alternative with the highest preference value (V) is designated as the best employee. This research confirms that implementing the SAW algorithm can enhance the objectivity and efficiency of the decision-making process within the organization.
Co-Authors Minarwati