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The LPG Demand Forecasting System is a web-based application developed to predict future LPG demand using the ARIMA (AutoRegressive Integrated Moving Average) and SARIMA (Seasonal ARIMA) time series forecasting models. The system assists administrators in analyzing historical LPG distribution data, generating future demand forecasts, and evaluating model performance to support strategic planning and inventory management.
The application is designed for a single user role: Administrator. Administrators can import historical demand data, filter demand statistics by regency/city, train forecasting models, compare forecasting performance, visualize historical and predicted demand trends, and evaluate forecasting accuracy by comparing predicted values with actual demand whenever actual data is available.
Project Summary
The application is designed for a single user role: Administrator. Administrators can import historical demand data, filter demand statistics by regency/city, train forecasting models, compare forecasting performance, visualize historical and predicted demand trends, and evaluate forecasting accuracy by comparing predicted values with actual demand whenever actual data is available.