THE SELECTION OF PROSPECTIVE EMPLOYEES USING THE SHANNON ENTROPY WEIGHTING METHOD AND ARAS METHOD

  • Halimah Mahasiswa Prodi Ilmu Komputer FMIPA ULM
  • Dwi Kartini
  • Friska Abadi
  • Irwan Budiman
  • Muliadi
DOI: https://doi.org/10.20527/jdsse.v1i01.7
Keywords: ARAS, Shannon Entropy, MAE

Abstract

This study discusses the selection of prospective employees using the Shannon Entropy weighting method and the Additive Ratio Assessment (ARAS) method which aims to determine the accuracy of the results obtained from the method. The Shannon Entropy method is a weighting method that assigns criteria weights based on the calculation of alternative employee selection data and the Additive Ratio Assessment (ARAS) method is a ranking method that has a utility function. Testing the data in this study using the Mean Absolute Error (MAE) method to get system accuracy results. Based on testing conducted using 6 criteria and 56 alternative data for prospective employees, the accuracy of the method used was 85.34%.

Published
2020-06-29
How to Cite
Halimah, Dwi Kartini, Friska Abadi, Irwan Budiman, & Muliadi. (2020). THE SELECTION OF PROSPECTIVE EMPLOYEES USING THE SHANNON ENTROPY WEIGHTING METHOD AND ARAS METHOD. Journal of Data Science and Software Engineering, 1(01), 23-32. https://doi.org/10.20527/jdsse.v1i01.7
Issue
Vol. 1 No. 01 (2020)
Section
Articles