Optimalisasi Model ARIMA dalam Prakiraan Curah Hujan di Jambi

Authors

  • Alya Claudina Anggun Nandarie Program Studi Meteorologi Sekolah Tinggi Meteorologi Klimatologi dan Geofisika
  • Abdul Aziz Al Badri Program Studi Meteorologi Sekolah Tinggi Meteorologi Klimatologi dan Geofisika
  • Yosafat Donni Haryanto Program Studi Meteorologi Sekolah Tinggi Meteorologi Klimatologi dan Geofisika

DOI:

https://doi.org/10.53682/gjppg.v4i1.5776

Keywords:

Correlation, Difference, Prediction of precipitation

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.

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Published

2023-06-30

How to Cite

Nandarie, A. C. A., Al Badri, A. A., & Haryanto, Y. D. (2023). Optimalisasi Model ARIMA dalam Prakiraan Curah Hujan di Jambi. GEOGRAPHIA : Jurnal Pendidikan Dan Penelitian Geografi, 4(1), 39-43. https://doi.org/10.53682/gjppg.v4i1.5776

Issue

Vol. 4 No. 1 (2023): Juni

Section

Articles

License

Copyright (c) 2023 GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.