Open AccessFuzzy Implementation in The Selection of A Chieving Employees at PT. Sumber Barkah using Matlab Software
Author(s) -
Sestri Novia Rizki
Publication year - 2021
Publication title -
ijistech (international journal of information system and technology)
Language(s) - English
Resource type - Journals
ISSN - 2580-7250
DOI - 10.30645/ijistech.v5i2.128
Subject(s) - selection (genetic algorithm) , computer science , set (abstract data type) , process (computing) , operator (biology) , fuzzy inference , function (biology) , software , defuzzification , value (mathematics) , fuzzy logic , fuzzy set , matlab , operations research , industrial engineering , artificial intelligence , fuzzy number , machine learning , fuzzy control system , engineering , adaptive neuro fuzzy inference system , programming language , biochemistry , chemistry , repressor , evolutionary biology , transcription factor , biology , gene
A company must set a high standard of discipline so that the company can develop quickly. A good company cannot be separated from the performance of employees in the form of standard rules made. With the standard, the company can see employees who excel and can be used as examples for other employees. There are 3 generated criteria such as performance, target and absence. The main purpose of this study is to provide criteria for selecting outstanding employees in a company. This study uses mamdani which uses the lowest min value and uses the AND operator to get the results. There are four things in the Mamdani fuzzy process, the first is the fuzification of the determination of the input value, the second is the application of the implication function, the third is the inference rules and the last is defuzzification. The results of this study can be used as a standard in determining outstanding employees at PT Berkah