Open AccessComparison of SSA and SARIMA in Forecasting the Rainfall in Sumatera Barat
Author(s) -
Fadhilah Fitri,
R F Rahmat
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1742/1/012009
Subject(s) - statistics , autoregressive integrated moving average , environmental science , meteorology , mathematics , geography , time series
Rainfall data in West Sumatra in 2001–2018 is assumed to have a seasonal pattern. Several methods can be used to model this data, including SSA and SARIMA. Each method has a different approach but has its own advantages. Therefore, a comparison will be made between the two based on the MAPE. According to the forecasting result, obtained MAPE for SSA is 17% and 22.75% for SARIMA.