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Journal : IJISTECH

Fuzzy Inference System In Predicting Unemployment Levels In Batam City Nanda Jarti; Sestri Novia Rizki
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i1.73

Abstract

Batam city is known as an industrial city in Indonesia; this can be seen from a large number of Indonesians who come to the Riau Islands to work. The company standards in accepting industrial employees can be seen from various aspects, such as age, education, company, opportunities, and job vacancies. Each of these aspects can be used as a decision-making system in predicting unemployment in Batam City. The method in completing this research is using the Sugeno method by taking the highest score and using the operator and. Sugeno's work steps are four. The first is the determination of the input value, the second is the inference engine, the third is the application of the Implementation function, and the fourth is the definition to get the final value—application for determining job vacancies using Matlab software.
Fuzzy Implementation in The Selection of A Chieving Employees at PT. Sumber Barkah using Matlab Software Sestri Novia Rizki
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.128

Abstract

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