Implementation of Mamdani Fuzzy Method in Employee Promotion System
Open Access
- 25 January 2018
- journal article
- research article
- Published by IOP Publishing in IOP Conference Series: Materials Science and Engineering
- Vol. 288 (1), 012147
- https://doi.org/10.1088/1757-899x/288/1/012147
Abstract
Nowadays, employees are big assets to an institution. Every employee has a different educational background, degree, work skill, attitude and ethic that affect the performance. An institution including government institution implements a promotion system in order to improve the performance of the employees. Pangandaran Tourism, Industry, Trade, and SME Department is one of government agency that implements a promotion system to discover employees who deserve to get promotion. However, there are some practical deficiencies in the promotion system, one of which is the subjectivity issue. This work proposed a classification model that could minimize the subjectivity issue in employee promotion system. This paper reported a classification employee based on their eligibility for promotion. The degree of membership was decided using Mamdani Fuzzy based on determinant factors of the performance of employees. In the evaluation phase, this model had an accuracy of 91.4%. It goes to show that this model may minimize the subjectivity issue in the promotion system, especially at Pangandaran Tourism, Industry, Trade, and SME Department.Keywords
This publication has 8 references indexed in Scilit:
- Subjective performance evaluations and employee careersJournal of Economic Behavior & Organization, 2017
- A hybrid technique of Mamdani and Sugeno based fuzzy interference system approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- A fuzzy system for estimating Premium Cost of option exchange using Mamdani Inference: Derivates Market of MexicoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Mamdani fuzzy inference system for breast cancer risk detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Methodology of fuzzy logic with mamdani fuzzy models applied to the microcontrollerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- A new adaptive Mamdani-type fuzzy modeling strategy for industrial gas turbinesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Solutions to the Failures and Limitations of Mamdani Fuzzy Inference in Ship NavigationIEEE Transactions on Vehicular Technology, 2013
- An experiment in linguistic synthesis with a fuzzy logic controllerInternational Journal of Man-Machine Studies, 1975