This study analyzes the impact of age, wages, work environment, working hours, and work experience on workforce productivity in the Steel Tower Production Division of PT X using multiple linear regression (SPSS 16). The analysis includes validity, reliability, multicollinearity, heteroscedasticity, and hypothesis testing. Results show no multicollinearity or heteroscedasticity issues. The R² value (0.545) indicates that 54.5% of productivity variance is explained by the independent variables, while 45.5% is influenced by other factors. However, F-test and T-test results indicate that none of the variables significantly affect productivity.This suggests that other factors, such as motivation or job satisfaction, may play a larger role. Future research should explore these aspects to gain deeper insights.
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