Comparison Methods of ELECTRE and Simple Additive Weighting (SAW) Methods in Determining the Best Employees of Reward Recipients

research
  • 07 Feb
  • 2020

Comparison Methods of ELECTRE and Simple Additive Weighting (SAW) Methods in Determining the Best Employees of Reward Recipients

The concept of the Decision Support System (DSS) was first disclosed in 1971
by Michael Scoot Morton under the term Management Decision System. Then a number of companies, research institutions and universities began conducting research and building Decision Support Systems. This is also used by one of the manufacturing / Small and Medium Industries (IKM) companies in Indonesia. There are many factors that influence employee performance that depends on motivation, job satisfaction, stress levels, physical conditions of work, compensation systems, job design, and economic, technical and other aspects. In the process of determining rewards for employees based on these factors not only through one method but can be compared with other methods. Therefore, this study will compare 2 methods in the Management Decision System,
namely the ELECTRE and SAW methods.


Unduhan

 

REFERENSI

[1] E. dan J. E. Turban, “Decision Support Systems and Intelligent Systems”,. Aronson, 6th edition, Copyright 2001. Prentice Hall, Upper Saddle River, 2001.
[2] S. G., Manajemen Sumber Daya Manusia (Human Resource) Suatu Pendekatan Mikro. Jakarta: Djanbatan, 2000.
[3] T. H. Hadoko, Manajemen Personalia dan Sumber Daya Manusia. Yogyakarta: BPFEYogyakarta, 2003.
[4] Hardiyanto, “Produk Industri Knalpot Purbalingga Capai 595.371 Unit Per Tahun,” 2015. [Online]. Available:
http://plid.purbalinggakab.go.id/produk-industri-knalpot-purbalingga-capai-595-371-unit-per-tahun/. [Accessed: 15-Mar-2018].
[5] D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. Yogyakarta: Depublisher, 2015.
[6] H. E. Harahap, F. Bukhari, and B. P. Silalahi, “Algorithm Decision Support in Determining Bidikmisi Scholarship Receive ( Case Study : Bidikmisi Scholarship ),” Int. J. Eng. Manag. Res., vol. 8, no. 1, pp. 217–222, 2018