THE PERFOMANCE OF THE ARIMAX MODEL ON COOKING OIL PRICE DATA IN INDONESIA

Forecasting is crucial for planning, particularly in addressing potential issues. While ARIMA models are commonly used for time series forecasting, they may need more accuracy by overlooking external factors. The ARIMAX model, which incorporates exogenous variables, is employed to enhance accuracy....

書誌詳細
出版年:	Barekeng
主要な著者:	Erdanisa Aghnia Ilmani, Fida Fariha Amatullah, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah
フォーマット:	論文
言語:	英語
出版事項:	Universitas Pattimura 2025-04-01
主題:	arimax cooking oil prices forecasting
オンライン･アクセス:	https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/14294

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