Recommendation of SAW “Simple Additive Weighting” Model Employee Acceptance Decision Support System with Analysis Regression

M. Z. Yumarlin, Ryan Ari Setyawan, Jemmy Edwin B., Sri Rahayu, Nur Fitri Asih

2019

Abstract

Decision support system as a tool for decision makers that is integrated directly with computers provide useful information to help make structured and unstructured decisions. This study aims to implement the SAW (Simple Additive Weighting) Model to calculate the weights of the criteria that become benchmarks for the feasibility of prospective applicants in providing optimal solutions. The results of correlation and regression in building this application analysis for the sixth criteria used in the assessment of employee acceptance for each alternative candidate there are five criteria that can be recommended in the employee acceptance decision support system, with the result that the correlation criteria value for work experience is 0.300, Educational Level criteria 0.253, Psychological Test criteria 0.479, criteria for the Administrative Test is 0.723 and the criteria for the Interview Test 0.748 shows a sufficient and very high relationship, while for the Age criteria -0.112 for a weak relationship so it is not recommended.

Paper Citation

in Harvard Style

Yumarlin M., Setyawan R., B. J., Rahayu S. and Asih N. (2019). Recommendation of SAW “Simple Additive Weighting” Model Employee Acceptance Decision Support System with Analysis Regression.In Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS, ISBN 978-989-758-452-7, pages 90-95. DOI: 10.5220/0009878800900095

in Bibtex Style

@conference{icasess19,
author={M. Z. Yumarlin and Ryan Ari Setyawan and Jemmy Edwin B. and Sri Rahayu and Nur Fitri Asih},
title={Recommendation of SAW “Simple Additive Weighting” Model Employee Acceptance Decision Support System with Analysis Regression},
booktitle={Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS,},
year={2019},
pages={90-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009878800900095},
isbn={978-989-758-452-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS,
TI - Recommendation of SAW “Simple Additive Weighting” Model Employee Acceptance Decision Support System with Analysis Regression
SN - 978-989-758-452-7
AU - Yumarlin M.
AU - Setyawan R.
AU - B. J.
AU - Rahayu S.
AU - Asih N.
PY - 2019
SP - 90
EP - 95
DO - 10.5220/0009878800900095