Singular Spectrum Analysis to Identify Excessive Rainfall

Indonesia is known for its excessive rainfall. Rainfall trends in an area have different characteristics. Differences latitude, apparent motion of the sun, geographical position, topography, and interaction many forms air circulation all contribute to this. time series essential engineering planning, particularly water infrastructure like irrigation, dams, urban drainage, ports, wharves. Although meteorological technologies provide short-term rainfall predictions, long-term prediction difficult fraught with uncertainty. Unpredictability seasonality can cause complex behavior series. This research utilizes Singular Spectrum Analysis approach extract trends; seasonality, cyclists, noise be identified potentially high accuracy.