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ANALISIS PERKEMBANGAN DAN PREDIKSI TINGKAT PERTUMBUHAN BANK SYARIAH DI INDONESIA DENGAN MENGGUNAKAN METODE ARIMA BOX-JENKINS
This study examines the predicted growth of sharia banking which is calculated through its indicators using Autoregressive Integrated Moving Average (ARIMA) method which has the advantage of accuracy and prediction accuracy. This study uses sharia banking statistics data in the form of sharia bank assets, third party funds, financing, current year profut and capital (BUS and UUS) from the first quarter or March 2012 to the fourth quarter or December 2019. From this method will be generated predictions of nominal assets, third party funds, financing, current year profit and capital from the first quarter or March 2020 to the fourth quarter or December 2021. Based on the best model of ARIMA, the analysis shows that the company’s growth predictions have fluctuated, especially the current profit indicator. However, seen from the prediction of the nominal value of assets, third party funds, financing, current year profit and capital increased although not large.
FAKULTAS EKONOMI DAN BISNIS ISLAM, UIN SUNAN KALIJAGA YOGYAKARTA
ANALISIS PERKEMBANGAN DAN PREDIKSI TINGKAT PERTUMBUHAN BANK SYARIAH DI INDONESIA DENGAN MENGGUNAKAN METODE ARIMA BOX-JENKINS (Text)
ANALISIS PERKEMBANGAN DAN PREDIKSI TINGKAT PERTUMBUHAN BANK SYARIAH DI INDONESIA DENGAN MENGGUNAKAN METODE ARIMA BOX-JENKINS (Other)
HTML Summary of #43845 ANALISIS PERKEMBANGAN DAN PREDIKSI TINGKAT PERTUMBUHAN BANK SYARIAH DI INDONESIA DENGAN MENGGUNAKAN METODE ARIMA BOX-JENKINS