Decision Support Systems for Employee Performance Assessment

Darius Shyafary, Wahyuni Sari, Dwi Cahyadi, Rony H.

2021

Abstract

Quality employees are an essential resource in a company. Employees who have qualification standards that match the company’s profile cause company productivity increased. PT. Pertamina (Persero) is one of the state companies that manage the oil and gas sector in Indonesia, which maintains the quality of its employees. PT. Pertamina always considers discipline, health, safety, and employee performance. Employee Performance Assessment is needed to maintain the quality and profile of the company. Employee performance assessment using the decision support systems method is Simple Additive Weighting (SAW) and Profile Matching (PM) can be suitable for assessing employees. It can reduce errors in determining the best employees and obtain a fair decision. In this study, a comparison between SAW and PM was built to find the best method. The SAW and PM methods were chosen because they are not complicated in calculations and are suitable for small data. The results showed that the accuracy of PM was 73% compared to SAW was 46%.

Paper Citation

in Harvard Style

Shyafary D., Sari W., Cahyadi D. and H. R. (2021). Decision Support Systems for Employee Performance Assessment. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 766-773. DOI: 10.5220/0010953200003260

in Bibtex Style

@conference{icast-es21,
author={Darius Shyafary and Wahyuni Sari and Dwi Cahyadi and Rony H.},
title={Decision Support Systems for Employee Performance Assessment},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={766-773},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010953200003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Decision Support Systems for Employee Performance Assessment
SN - 978-989-758-615-6
AU - Shyafary D.
AU - Sari W.
AU - Cahyadi D.
AU - H. R.
PY - 2021
SP - 766
EP - 773
DO - 10.5220/0010953200003260