Predicting Employee Turnover in IT Industries using Correlation and Chi-Square Visualization

被引：0

作者：

Priambodo, Bagus ^{[1
]}

Jumaryadi, Yuwan ^{[1
]}

Rahayu, Sarwati ^{[1
]}

Ani, Nur ^{[1
]}

Ratnasari, Anita ^{[1
]}

Salamah, Umniy ^{[1
]}

Putra, Zico Pratama ^{[2
]}

Otong, Muhamad ^{[3
]}

机构：

[1] Univ Mercu Buana, Fac Comp Sci, Jakarta, Indonesia

[2] Univ Nusa Mandiri, Fac Informat Technol, Jakarta, Indonesia

[3] Univ Sultan Ageng Tirtayasa, Dept Elect Engn, Serang, Indonesia

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2022年 / 13卷 / 12期

关键词：

Employee turnover; turnover factors; chi-square; classification algorithm;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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, Naive Bayes, and Random Forest). The result shows that job duration and positioning are factors that influence employee turnover in a software company.

引用

页码：71 / 75

页数：5

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