Journal of Data Science and Software Engineering
Vol 1 No 01 (2020)

Penyeleksian Calon Karyawan Menggunakan Metode Pembobotan Shannon Entropy dan Metode ARAS

Halimah (Mahasiswa Prodi Ilmu Komputer FMIPA ULM)
Dwi Kartini (Unknown)
Friska Abadi (Unknown)
Irwan Budiman (Unknown)
Muliadi (Unknown)

Article Info

Publish Date
29 Jun 2020

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%.

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Journal Info
Journal of Data Science and Software Engineering
Website

Abbrev

integer

Publisher

Universitas Lambung Mangkurat

Subject

Computer Science & IT

Description

Journal of Data Science and Software Engineering adalah jurnal yang dikelola oleh program studi Ilmu Komputer Universitas Lambung Mangkurat untuk mempublikasikan artikel ilmiah mahasiswa tugas akhir. Terbit tiga kali dalam ...