Sistem Pendukung Keputusan Penentuan Pegawai Terbaik Menggunakan Metode Fuzzy AHP
Abstract views: 927 , pdf downloads: 851Abstract
In determining the best employees in the company can spur employee enthusiasm in working, because the company will provide incentives or bonuses for these employees. However, in determining the best employee, several parameters and criteria are needed so that the assessment is carried out on target. The improved performance of employees will certainly have a direct impact on the quality of company services. Employee performance appraisal is carried out by a human resort management (HRD) director and the assessment consists of a number of criteria. The assessment will be difficult if done manually considering that each assessor has their own preferences in conducting the assessment. To overcome this we need a computer system that helps decision making in determining the best employees, namely a decision support system (SPK) for determining the best employees in the company.
The decision support system developed in this study uses the Fuzzy Analitycal Hirarcy Process (AHP) method to assist decision making. Fuzzy AHP method is used for decision making in each assessor. Based on the final results of the best employee determination system in the form of ranking the final value of each employee. The highest value is used as a recommendation as the best employee in the company.
Downloads
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
[2] A. Mauko, B. Muslimin, and P. Sugiartawan, “Sistem Pendukung Keputusan Kelompok Dalam Pemilihan Saham Indeks LQ 45 Menggunakan Metode,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, no. 1, pp. 25–34, 2018.
[3] B. A. Alyoubi, “Decision Support System and Knowledge-based Strategic Management,” Procedia Comput. Sci., vol. 65, no. Iccmit, pp. 278–284, 2015.
[4] M. Salah, S. A. Samra, and O. Hosny, “Analytical Hierarchy Process Decision Support System (AHP-DSS) for Trenchless Technology,” ISARC. Proc. Int. Symp. Autom. Robot. Constr., vol. 33, p. 1, 2016.
[5] P. Sugiartawan and S. Hartati, “Group Decision Support System to Selection Tourism Object in Bali Using Analytic Hierarchy Process ( AHP ) and Copeland Score Model.”
[6] K. Zou, “Borda Method of Fuzzy Decision Making,” in 2012 International Conference on Computer Science and Electronics Engineering, 2012, pp. 403–405.
[7] C. L. Chen and Y. P. Bau, “Establishing a multi-criteria evaluation structure for tourist beaches in Taiwan: A foundation for sustainable beach tourism,” Ocean Coast. Manag., vol. 121, pp. 88–96, 2016.
[8] E. et al Turban and et al Bonczek, Decision Support System and Intelligent System. Yogyakarta: Andi, 2005.
[9] E. Turban, R. Sharda, D. Delen, and D. King, “Introduction to business intelligence,” Bus. Intell. a Manag. approach, pp. 3–18, 2011.
[10] T. L. Saaty, “Decision making with the analytic hierarchy process,” Int. J. Serv. Sci., vol. 1, no. 1, p. 83, 2008.
[11] M.-K. Chen and S.-C. Wang, “The use of a hybrid fuzzy-Delphi-AHP approach to develop global business intelligence for information service firms,” Expert Syst. Appl., vol. 37, no. 11, pp. 7394–7407, 2010.
[12] X. Zhu, “Notice of Retraction,” 2011 Int. Conf. E-bus. E-Government, pp. 1–4.
[13] Q. Bao, D. Ruan, Y. Shen, E. Hermans, and D. Janssens, “Improved hierarchical fuzzy TOPSIS for road safety performance evaluation,” Knowledge-Based Syst., vol. 32, pp. 84–90, 2012.