Big data analytics performance from employee point of view

Abstract

This study aimed to determine the influence of recruitment and selection on employee performance, particularly in the Big Data Analytics division. Human resources are a crucial asset for a company to achieve success, and employees must perform at a high level according to the company’s targets or quality standards. The study used descriptive quantitative methods, with a population of all employees in the Big Data Analytics division, consisting of 35 employees, using the probability sampling technique. Data collection techniques included field studies and literature studies, and data analysis was carried out using path analysis, hypothesis testing, and coefficient of determination. The results showed that the Recruitment variable (X1) had no significant effect on Employee Performance (Y), while the Selection variable (X2) had a significant effect on Employee Performance (Y). Recruitment and Selection variables had a significant effect, with Recruitment having a direct effect on Performance of 70% and an indirect effect of 12.9%.

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