Browsing by Author "Tampubolon, Omar Farrakhan"

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    PENERAPAN METODE DEKOMPOSISI UNTUK PERAMALAN HARGA SAHAM PT BANK CENTRAL ASIA TBK
    (Elfitra, 2023-12) Tampubolon, Omar Farrakhan; Bustami
    Singular 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.