Brahmana : Jurnal Penerapan Kecerdasan Buatan
Vol 1, No 2 (2020): Edisi Juni

Implementasi Fuzzy Tsukamoto Dalam Menentukan Upah Gaji Karyawan Perbulan

Siti Maysaroh Saragih (Mahasiswa STIKOM Tunas Bangsa, Pematangsiantar – Indonesia)
Ayu Lestari (Mahasiswa STIKOM Tunas Bangsa, Pematangsiantar – Indonesia)
Mahadir Soleh Hutasuhut (Mahasiswa STIKOM Tunas Bangsa, Pematangsiantar – Indonesia)



Article Info

Publish Date
30 Jun 2020

Abstract

In a company, salary is a salary for employees who have been working for a month. However, in order to provide fair salary to all employees, the company must determine the criteria for providing salary. By using fuzzy logic, wages can be determined by going through the following stages: Fuzzification, Formation of the knowledge base, Fuzzy Inference, and Defuzzification. One of the fuzzy logic methods that can be used is the Tsukamoto method, where this method has an output in the form of firm values. To determine the salary, the data is collected from the Central Statistics Agency website in accordance with the criteria to be examined. With this research, employers can use the calculations from this research to determine salary salaries for their employees quickly, well, and precisely. So that the problem of determining the wages of their employees' salaries can be resolved properly.

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Journal Info

Abbrev

brahmana

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

Description

BRAHMANA: Jurnal Penerapan Kecerdasan Buatan adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari berbagai bidang Ilmu Kecerdasan Buatan. BRAHMANA: Jurnal ...