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Analysis To Predicte The Number Arima by fahri is a document available to read on EtoBox.

This study analyzes new student admissions at Nahdlatul Ulama University (UNU) Pasuruan using the ARIMA method to predict future enrollment numbers. The ARIMA model (6.0.1) was found to have the smallest prediction error metrics, including an RMSE of 21.88 and a MAPE of 0.2%, with predictions indicating the highest number of new students in July and the lowest in February. The findings aim to assist university management in optimizing resource planning and improving efficiency in managing student admissions

Author

fahri

Language

EN