This study aims to examine the relationship between employee attendance levels and work productivity in an energy sector institution during the 2019–2021 period. The data used are secondary data, including employee attendance records and Employee Performance Targets (SKP) scores. The research adopts a quantitative approach with descriptive analysis, Pearson correlation, and simple linear regression techniques using SPSS software. The results of data processing indicate that employee attendance has a positive and significant relationship with work productivity. The correlation value of 0.330 suggests that the relationship between the two variables is weak to moderate. Meanwhile, the coefficient of determination of 0.109 indicates that attendance only explains 10.9% of the variation in productivity, while the remaining 89.1% is influenced by other variables outside the research model. These findings confirm that work productivity is not solely determined by attendance levels, but also by other factors such as motivation, work environment, workload, and work system.
Copyrights © 2026