TY  - JOUR
AU  - Perdana , Gregoryus Imannuel 
AU  - Utama, Ditdit Nugeraha 
PY  - 2023
TI  - The Multistage Fuzzy Logic-Based Decision Support Model to Determine the Salary of New Employees
JF  - Journal of Computer Science
VL  - 19
IS  - 7
DO  - 10.3844/jcssp.2023.812.824
UR  - https://thescipub.com/abstract/jcssp.2023.812.824
AB  - Salary determination for prospective new employees is critical in determining the level of employee satisfaction that can motivate people. The goal of this research is to develop a decision support model to determine salaries for prospective new employees by combining three methods: Multistage fuzzy logic, and conventional and simple mathematical models. Fuzzy logic is used to calculate fuzzy parameters, while conventional methods are used to calculate non-fuzzy parameters by multiplying parameter values by their weights. In this study, data amounted to approximately 30 data obtained via a questionnaire, which describes the personal data of prospective new employees at a company. There are 18 parameters in this study divided into four main categories that determine the amount of salary for prospective new employees. This decision support model generates a salary for prospective new employees that the company can use as a reference when providing salaries.