SISTEM PENDUKUNG KEPUTUSAN DALAM PENILAIAN PRESTASI KERJA MENGGUNAKAN FUZZY-AHP DAN SAW

Denni Kurniawan, Catur Nugroho

Abstract


Employee appraisal is one of the company's efforts to evaluate employee performance and productivity. As the result, the company can also give awards to employees who are considered gives high contribution to company.  However, it is not easy to measure employee performance, because most them only based on the leaders valuation which is subjective and do not based on standards. The objective of this study is to develop a system to assess employee performance by using a combination of Fuzzy Logic, Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The AHP is a method of weighting in based on multi-criteria decisions. This method uses a pairwise comparison matrix to  calculate the weight value. The Fuzzy logic is used to overcome the problem, where the AHP method is indicated still have subjectivity in criteria evaluation. After calculation based on combination of Fuzzy-AHP methods, the final result of employee performance will determined by using SAW method. The employee with the highest weight value will considered as the most productive employee and also gives the best performance in the company.

Keywords


Logika Fuzzy, Analytic Hierarchy Process, Simple Additive Weight

Full Text:

PDF

References


A. Rahmati, & F.A. Noorbehbahani, “A New Hybrid Method Based on Fuzzy AHP and Fuzzy TOPSIS for Employee Performance Evaluation”, IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI), pp. 165–171, 2017.

V. Listyaningsih, & E. Utami, “Decision Support System Performance Based Evaluation of Village Government using AHP and TOPSIS Methods: Secang Sub-district of Magelang Regency as a Case Study”, International Journal of Intelligent Systems and Applications, vol. 10, pp. 18-28, 2018.

A. Shaout, & M.K. Yousif, “Performance Evaluation – Methods and Techniques Survey”, International Journal of Computer and Information Technology, vol. 3(5), pp. 966-979, 2014.

R. Zakaria, & Y.H. Putra, “Employee Performance Appraisal to Determine Best Engineer Candidates with Analytical Hierarchy Process Approach”, Materials Science and Engineering Conference Series, pp. 1-5, 2018.

E. Setiawan, “Penerapan Metode Fuzzy AHP dan Analytic Rubric dalam Penilaian Kinerja Karyawan”, Jurnal Manajemen Maranatha, vol.16(1), pp. 1589-1599, 2016.

N. Setiawan, M.D.T.P. Nasution, Y. Rossanty, A.N.S Tambunan, M. Girsang, R.T.A. Agus, M. Yusuf, R. Vebrianto, O.N. Purba, A. Fauzi, S. Perdana, & K. Nisa, “Simple Additive Weighting as Decision Support System for Determining Employees Salary”, International Journal of Engineering and Technology, vol.7 (2.14), pp. 309-313, 2018.

M. Roudini, “Application of Fuzzy AHP and Fuzzy TOPSIS in Selecting Proper Contractors: Case of Sistan and Baluchistan Province Gas Company”, Master Thesis, Eastern Mediterranean University, 2015.

A.R. Afshari, M. Nikolic, & A. Zahra, “Personnel Selection using Group Fuzzy AHP and SAW Methods”, Journal of Engineering Management and Competitiveness, vol.7(1), pp. 3–10, 2017.

R.S. Ilhami, & D. Rimantho, ”Penilaian Kinerja Karyawan dengan Metode AHP dan Rating Scale Jurnal Optimasi Sistem Industri Penilaian Kinerja Karyawan dengan Metode AHP dan Rating Scale”, Jurnal Optimisasi Sistem Industri, vol. 16(2), pp.150-157, 2017.

S. Kusumadewi, & H. Purnomo, “Fuzzy Logic Application for Decission Support System”, Graha Ilmu Press, Jakarta, 2010.

A.R. Afshari, M. Nikolic, & A. Zahra, “Personnel selection using group fuzzy AHP and SAW methods”, Journal of Engineering Management and Competitiveness, vol.7(1), pp. 3–10, 2017.

P. Sirisawat & T. Kiatcharoenpol, ”Fuzzy AHP-TOPSIS Approaches To Prioritizing Solutions For Reverse Logistics Barriers”, Computers & Industrial Engineering, vol. 117, pp. 303–318, 2018.

Ekastini, Kusrini, & E.T. Luthfi, “Penerapan Metode Fuzzy Analytical Hierarchy Process untuk SPK Penyeleksian Naskah Layak Terbit”, Creative Information Technology Journal, vol. 4(2), pp. 117-127, 2017.

J.R. Annette, A. Banu, & P.S. Chandran, “Comparison of Multi Criteria Decision Making Algorithms for Ranking Cloud Renderfarm Services”, Indian Journal of Science and Technology, vol. 9(31). Pp. 1-5, 2016.




DOI: http://dx.doi.org/10.22373/cj.v3i2.5359

Refbacks



Copyright (c) 2020 Denni Kurniawan, Catur Nugroho

This journal has been indexed by:

Cyberspace: Jurnal Pendidikan Teknologi Informasi
Published by Center for Research and Community Service (LP2M) in cooperation with the Department of Information Technology Education, Faculty of Education and Teacher Training, Ar-Raniry State Islamic University, Banda Aceh.
P-ISSN: 2598-2079
E-ISSN: 2597-9671
Creative Commons License
Content on this site is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License,
except where otherwise noted.