Development of a Time Series Forecasting System for Economic Data
Statistics — 2025, Undergraduate
web applicationtime seriesforecastingeconomic data
This study developed a time series forecasting system for analysing economic indicators such as prices, production, and trade. The system supports trend decomposition, moving averages, and ARIMA modelling with forecast visualisation and accuracy metrics. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, FastAPI, Statsmodels, and React. The findings showed that the system produced reliable short-term forecasts and reduced the complexity of ARIMA modelling for analysts, while achieving a high System Usability Scale score. The study recommends use in policy and research units for evidence-based planning.
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