Dinamika Pasar Minyak Dunia: Prediksi Harga Melalui Analisis Time Series Dengan Metode Forecasting ARIMA

Abstract

The fluctuating prices of global oil serve as the focal point of this research, aiming to forecast price movements through a comprehensive approach. Through in-depth dataset exploration, we analyze patterns, trends, and market fluctuations, providing a profound understanding of the behavior of world oil prices.The research methodology involves time series analysis using the ARIMA forecasting method, enabling the identification of historical patterns and trends. The systematic analytical steps are directed toward designing an accurate prediction model. The forecasted results are then translated into graphical visualizations, offering a clear representation of the projected oil prices.In the context of a dynamic global market, this research attains a deep understanding of the behavior of world oil prices. Our findings are expected to contribute to market understanding and serve as a valuable tool for market participants, financial analysts, and decision-makers grappling with the complexities of the dynamics of the global oil market. Practical implications of the forecasted results are also emphasized, providing insights for decision-making amid market uncertainties