APPLICATION OF THE NAÏVE BAYES ALGORITHM IN THE PREDICTION SYSTEM FOR PROSPECTIVE EMPLOYEE ACCEPTANCE AT PT. JAYA BERSAMA SAPUTRA PERKASA

Abstract

In this modern era, technology and information technology have become an inseparable part of everyday life. The rapid development of technology has led many people to rely on it in their various activities. The aim of this research is to develop a prediction system that can help companies in the selection process of prospective employees more efficiently and accurately. This research uses historical data on prospective employee recruitment as a dataset to train the Naïve Bayes model. This system requires input from prospective workers such as age, experience, IQ, education, and status which will later be processed and calculated using the NAIVE BAYES method and will produce a decision as to whether or not the worker himself is suitable. With this system, it makes it easier to solve problems in determining the prospective workers expected by the company and can clarify the suitability of prospective workers and can be held accountable by the company.