Global economic instability and energy market volatility pose significant challenges to the accurate prediction of Indonesia's oil and gas export performance. This study develops a hybrid VAR–NN forecasting model that incorporates global oil prices and exchange rates as external variables, with the objective of improvi...
Mei Dina Putri Nadhifah, Aviolla Terza Damaliana, Shindi Shella May Wara· bit-Tech· 0 citations
Gold prices are influenced by various macroeconomic factors, particularly inflation and the USD/IDR exchange rate, and often exhibit fluctuating movements and volatile behavior over time. These characteristics require forecasting methods that can model both the mean structure and volatility dynamics of the data. This s...
Niken Sulistyowati, M. Idhom, Shindi Shella May Wara· bit-Tech· 0 citations
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.
GovBERTic (Government BERTopic), a reproducible computational pipeline that operationalizes public opinion analysis by linking semantic topic discovery, multi-algorithm sentiment model selection, and topic-level sentiment aggregation within a single workflow, is developed.
