Open access
Aug 2026
Ensemble Bagging Stacked LSTM for Forecasting Inflation in Indonesia Using USD/IDR Exchange Rate
The integration of Bagging, Stacked LSTM, and MBB improves model robustness and forecasting accuracy, and can support data-driven decision-making in economic policy, although further research is needed to incorporate additional variables and explore more advanced forecasting architectures.
Mirechelin Kristanaya, Aviolla Terza Damaliana, Shindi Shella May Wara
· bit-Tech · 0 citations