Authors:

Ria Faulina

Abstract:

“Changes in seasonal patterns in Indonesia are closely related to rainfall. Various forecasting techniques were developed to produce better accuracy. In this study ARIMA linear forecasting techniques were used. The data used is secondary data from BMKG Kalianget Station, Sumenep from January 2008 - December 2017 with a monthly rainfall research variable. To measure the accuracy of the forecast results used by RMSE.From the result of this study, ARIMA ([1,6],0,0)(0,1,1)12providing better accuracy than ARIMA (1,0,0)(0,1,1)12 for predicting the next 1 month or 12 months (a year ahead).”

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PDF:

https://jurnal.harianregional.com/jmat/full-46659

Published

2019-02-07

How To Cite

FAULINA, Ria. Metoda Autoregressive untuk Peramalan Jangka Panjang.Jurnal Matematika, [S.l.], v. 8, n. 2, p. 121-125, feb. 2019. ISSN 2655-0016. Available at: https://jurnal.harianregional.com/jmat/id-46659. Date accessed: 02 Jun. 2025. doi:https://doi.org/10.24843/JMAT.2018.v08.i02.p104.

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ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 8 No 2 (2018)

Section

Articles

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