Predicting Jordanian Job Satisfaction Using Artificial Neural Network and Decision Tree

Abstract

Measuring job satisfaction of the employees is a big concern for the prestigious organizations in order to maintain high productivity from its employees, because if an employee suddenly left the job that may cause a loss to the company because it's not easy to find new qualified employees. Finding or making an employee qualified will consume the organizations' time and money. This paper presents two techniques in order to predict the Jordanian job satisfaction: Artificial Neural Network and J48 Decision Tree, using an online questionnaire, the dataset was gathered, specific questions were answered and specific attributes which related to the study were taken to make the prediction using the Weka tool.