The increasing of employee salary is one of the mechanisms to maintain the good employee performance. The decision of periodic additional salary for a certain employee is the difficult task even in some cases this is a sensitive issue. To minimize such as those problems, the fair additional salary computation performed by system can be chosen as the way out. The study presents the application of fuzzy inference system (FIS) to determine the additional salary computation. This study uses the real dataset collected from a local drinking water distribution company. The experiment results confirm that the method is feasible to be applied for this purpose. This feasibility conclusion is supported by the little deviation between manual computation results compared to FIS. For almost all cases, the FIS provides more detail results.
R. T. W. Evita, Siti Noni ; Muizu, Wa Ode Zusnita; Atmojo, ‘Penilaian kinerja karyawan dengan menggunakan metode behaviorally anchor rating scale dan management by objectives’, Pekbis J., vol. 9, no. 1, pp. 18–32, 2017.
R. Agusli, M. I. Dzulhaq, and U. Khasanah, ‘Sistem Pendukung Keputusan Pemberian Bonus Karyawan Menggunakan Metode AHP’, J. SISFOTEK Glob., vol. 7, no. 2, pp. 1–10, 2017.
A. Shaout and M. Khalid Yousif, ‘Employee Performance Appraisal System Using Fuzzy Logic’, Int. J. Comput. Sci. Inf. Technol., vol. 6, no. 4, pp. 1–19, 2014.
G. Meenakshi, ‘Multi source feedback based performance appraisal system using Fuzzy logic decision support system’, Int. J. Soft Comput. ( IJSC ), vol. 3, no. 1, pp. 91–106, 2012.
M. G. D’Urso and D. Masi, ‘Multi-Criteria Decision-Making Methods and Their Applications for Human Resources’, in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, vol. XL-6/W1, no. June, pp. 31–37.
N. Shirinov, ‘Application of Fuzzy Logic in Employee Promotion Decisions: Evidence from a Hypothetical Case’, Acc. Financ. Manag. J., vol. 2, no. 4, pp. 630–634, 2017.
K. M. Doka, F. Ahmad, S. Nor, and W. Shamsuddin, ‘Integrated Decision Support System for Human Resource Selection Using TOPSIS Based Models’, Appl. Math. Sci., vol. 9, no. 129, pp. 56–63, 2015.
A. Muthohar, Y. Rahayu, J. T. Informatika, U. Dian, N. Semarang, and M. F. Mamdani, ‘Metode Fuzzy Mamdani untuk Evaluasi Kinerja Pelayanan Perawat’, J. Appl. Intell. Syst., vol. 1, no. 1, pp. 8–17, 2015.
Syaeful Anas Aklani, ‘Metode Fuzzy Logic Untuk Evaluasi Kinerja Pelayanan Perawat ( Studi Kasus : RSIA Siti Hawa Padang )’, J. Edik Inform., vol. 1, no. 1, p. 30, 2014.
M. L. Krichevsky, J. Martunova, and V. Sirotkin, ‘Neuro-fuzzy recruitment system’, Espacios, vol. 38, no. 62, p. 15, 2017.
M. Tinkir, B. Doganalp, and S. Doganalp, ‘Human Resource Selection Process by Using Various Fuzzy Logic Techniques Human Resource Selection Process by Using Various Fuzzy Logic Techniques’, in Proceeding of the Workshop on Foundation of Informatics, 2015, no. December.
Dedi, Prayogo, S. dul Hapid, and A. Mawardi, ‘Sistem Pendukung Keputusan Penilaian Pegawai Dengan Menggunakan Logika Fuzzy’, J. SISFOTEK Glob., vol. 5, no. 1, 2015.
A. A. Aguilar Lasserre, M. V. Lafarja Solabac, R. Hernandez-Torres, R. Posada-Gomez, U. Juarez-Martinez, and G. Fernandez Lambert, ‘Expert System for Competences Evaluation 360 degrees Feedback Using Fuzzy Logic’, Math. Probl. Eng., vol. 2014, 2014.
E. Sakthivel, K. S. Kannan, and S. Arumugam, ‘Optimized Evaluation of Students Performances Using Fuzzy Logic’, Int. J. Sci. Eng. Res., vol. 4, no. 9, pp. 1128–1133, 2013.
S. N. Ingoly and J. . Bakal, ‘Evaluating Students’ Performance using Fuzzy Logic’, in International Conference in Recent Trends in Information Technology and Computer Science (ICRTITCS), 2012, pp. 15–20.
S. Pavani, P. V. S. S. Gangadhar, and K. K. Gulhare, ‘Evaluation of Teacher’s Performance using Fuzzy Logic Techniques’, Int. J. Comput. Trends Technol., vol. 3, no. 2, pp. 200–205, 2012.
H. Aghajani, H. Nazoktabar, and A. Aliabadi, ‘Environmental Performance Evaluation Based on Fuzzy Logic.’, in International Proceedings on Scial Science and Humanity, 2011, vol. 5, pp. 432–436.
Yulmaini, ‘Penggunaan Metode Fuzzy Inference System (Fis) Dalam Pemilihan Peminatan Mahasiswa Untuk Tugas Akhir’, J. Inform., vol. 15, no. 10721, 2015.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
Submission of the manuscript represents that the manuscript has not been published previously and is not considered for publication elsewhere.