PENERAPANMETODE DEKOMPOSISI UNTUK PERAMALAN HARGA SAHAMPT BANKCENTRAL ASIA TBK

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dc.contributor.authorAulia, Feby Sukma
dc.contributor.supervisorBustami, Bustami
dc.date.accessioned2023-10-31T04:35:25Z
dc.date.available2023-10-31T04:35:25Z
dc.date.issued2023-07
dc.description.abstractThe stock price is an indicator of the success of a company. The higher and more stable the stock price, the better the company's value in the market. Shares are proof of ownership of capital invested by investors. The purpose of this study is to predict the stock price of PT Bank Central Asia Tbk using the decomposition method. The decomposition method is a time series data forecasting method that uses four components, namely seasonality, trend, cycles, and errors provided that the data contains trend and seasonal patterns. This study uses economic and business data regarding the closing price of shares of PT Bank Central Asia Tbk for the period 2018 – 2022. The results of this study obtained that the multiplicative model decomposition method is an excellent model with a MAPE acquisition of 3.81%. Stock price forecasting for the next period has increased with a tendency to decrease every June.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11192
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectStocks priceen_US
dc.subjecttime seriesen_US
dc.subjectforecastingen_US
dc.subjectdecomposition methoden_US
dc.subjectMAPEen_US
dc.titlePENERAPANMETODE DEKOMPOSISI UNTUK PERAMALAN HARGA SAHAMPT BANKCENTRAL ASIA TBKen_US
dc.typeArticleen_US

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