Prediction of Company Employee Resignation Using Naïve Bayes Algorithm

— The human resources management division supports company growth through recruiting quality employees. Despite stringent selection efforts, some employees still resign before their contracts expire, potentially harming the business. Therefore, this research uses the https://www.kaggle.com/colara/hr-analytics dataset to predict potential resignations, help human resource development and managers understand the causes of resignations, and take preventive action. Human Resource Development is a division that has responsibilities and duties in employee management in the company. The details of HRD's duties are to carry out recruitment, conduct training, determine salaries, and provide compensation. Dataset regarding Human Resources to predict Employee Loyalty, with the division of 10 attributes, namely: Satifaction_level, Last_evaluation, Number_project, Average_monthy_hours, Time_spend_company, Work_accident, Promotion_last_5years, Job, Salary. This research uses fictitious company employee data, with research stages including data collection, pre-processing, and processing using research algorithms. Data analysis was carried out to look for correlations between attributes to individually understand the reasons why employees resign. The method used in this research is the naïve Bayes method, with accuracy results of 87% and an error rate of 13%.