Tampubolon, Omar FarrakhanBustami2024-09-032024-09-032023-12PerpustakaanElfitrahttps://repository.unri.ac.id/handle/123456789/11417Singular Spectrum Analysis (SSA) is a non-parametric time series analysis technique used for forecasting. The advantage of this method is that it does not require the assumption of stationarity, thus making SSA a good time series data analysis technique to describe trends and other components that have a simple structure. The data used for forecasting using the Riau Province Interest Rate in the period January 2013 to January 2023. The analysis carried out is in the form of a matrix to find the Eigen value and Eigen Vector. The right SSA model in this case is obtained by window length 37 and number of groups 3 with MAPE 4.569288%. The accuracy of this SSA method is considered very good for forecasting such as the Interest Rate data in Riau Province.enEigen ValueEigen VectorInterest RatesSingular Spectrum AnalysisArticle