Abstract
The aim of the study was to forecast Rainfall with Time Series Model. Monthly rainfall of 48 data got from Badan Meteorologi dan Geofisika (BMG) Bandung from January 2011 to December 2013 are processed by a computer program to look at the pattern in minitab model ARIMA. This modelling stage begins from the stationarity test data, identify models, parameter estimation, and model verification, to forecasting. Precipitation data is data that is not stationary so that distinguish first. The data obtained from the model results this first distinction is ARIMA (1, 1, 1) with the MAD 82.712 test of the significance of the parameters of the model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
