Abstract: Employee turnover in the IT industry is among the highest compared to other industries. Knowing factors that influence the turnover may help reduce this issue in future. One of these factors is job satisfaction, which are composed of two important factors, status and seniority. In this study, the correlation and chi-square visualization are utilized to determine the factors that affect employee turnover. The experiment was carried out to predict turnover using a private IT consultant dataset comparing three classification algorithms (decision tree, Naïve Bayes, and Random Forest). The result shows that job duration and positioning are factors that influence employee turnover in a software company.

Bagus Priambodo, Yuwan Jumaryadi, Sarwati Rahayu, Nur Ani, Anita Ratnasari, Umniy Salamah, Zico Pratama Putra and Muhamad Otong, “Predicting Employee Turnover in IT Industries using Correlation and Chi-Square Visualization” International Journal of Advanced Computer Science and Applications(IJACSA), 13(12), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131210

@article{Priambodo2022,
title = {Predicting Employee Turnover in IT Industries using Correlation and Chi-Square Visualization},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131210},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131210},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {12},
author = {Bagus Priambodo and Yuwan Jumaryadi and Sarwati Rahayu and Nur Ani and Anita Ratnasari and Umniy Salamah and Zico Pratama Putra and Muhamad Otong}
}