Abstract This research is quantitative. The data used were secondary data obtained from the Central Bureau of Statistics (BPS). The data analysis employed was multiple linear regression analysis, which was processed using SPSS 23. The results revealed that investment had a significant and positive effect, with the t-count value of 9,300 higher than the t-table of 1,968 with a significance level of 0,000. Labor had a significant and positive effect, with the t-count value of 8.691 higher than the t-table of 1.968 with a significance level of 0.000. The consumption level had a significant and positive effect, with the t-count value of 7.474 higher than the t-table of 1.968 with a significance level of 0.000. Simultaneously, the variables of investment, labor, and consumption levels had a significant and positive effect on economic growth. From the regression results, the RSquared (R²) value was 0.744. It indicated that the independent variables could explain the variation in economic growth in Indonesia by 74.4%. Meanwhile, the remaining 25.6% was explained by other variables outside the research.