Research Article Open Access

The Multistage Fuzzy Logic-Based Decision Support Model to Determine the Salary of New Employees

Gregoryus Imannuel Perdana 1 and Ditdit Nugeraha Utama1
  • 1 Department of Computer Science, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia

Abstract

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.

Journal of Computer Science
Volume 19 No. 7, 2023, 812-824

DOI: https://doi.org/10.3844/jcssp.2023.812.824

Submitted On: 13 February 2023 Published On: 7 June 2023

How to Cite: Perdana , G. I. & Utama, D. N. (2023). The Multistage Fuzzy Logic-Based Decision Support Model to Determine the Salary of New Employees. Journal of Computer Science, 19(7), 812-824. https://doi.org/10.3844/jcssp.2023.812.824

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Keywords

  • Decision Support Model
  • Fuzzy Logic
  • Conventional Method
  • Simple Mathematical Models
  • New Employee
  • Salary Determination