Alya Claudina Anggun Nandarie
Program Studi Meteorologi Sekolah Tinggi Meteorologi Klimatologi dan Geofisika

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Optimalisasi Model ARIMA dalam Prakiraan Curah Hujan di Jambi Alya Claudina Anggun Nandarie; Abdul Aziz Al Badri; Yosafat Donni Haryanto
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.5776

Abstract

Process determine predicted monthly rainfall values for 2022, this study models rainfall forecasts. Observations of monthly rainfall over 30 years (1992–2022) were used to collect the data. The data is then analyzed using the Minitab application's ARIMA model to examine historical trends. For each model utilized, the forecast results are connected with the actual observation data in 2022. The model (1,0,1), (1,0,1) is used to calculate the difference to acquire a result of 54%, which is the best correlation value. The most accurate model for predicting monthly rainfall in Jambi is this one.