This project applies machine learning, focusing on time series analysis using ARIMA, to study and forecast wage trends across Indonesia. Wage disparities, such as the significant gap between Jakarta and Eastern Indonesia, highlight ongoing challenges in labor mobility and income equality.

By analyzing historical wage data from 1997 to 2024, the project uncovers patterns and predicts future trends. The model’s accuracy is validated using metrics like MSE and MAE to ensure reliable insights. The results provide data-driven recommendations to support equitable policymaking and address regional income disparities..