DOUBLE EXPONENTIAL SMOOTHING UNTUK PERAMALAN RATARATA HARGA BERAS INDONESIA TAHUN 2022

dc.contributor.authorIrvan, M.
dc.contributor.supervisorEfendi, Rustam
dc.date.accessioned2023-01-26T02:34:24Z
dc.date.available2023-01-26T02:34:24Z
dc.date.issued2022-10
dc.description.abstractThis study discusses the forecasting of the average price of rice at the level of trade in Indonesia, where this study uses time series analysis. The method used in this research is Holt's Double Exponential Smoothing. The results of calculations using the Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) accuracy test equipment, determined that the Double Exponential Smoothing Holt method has a relatively small forecasting error with an RMSE value of 118.963 and a MAPE value of 0.86% with MAPE value criteria < 10%. This shows that the accuracy of MAPE is in the very good category.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/123456789/10827
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectRice price averageen_US
dc.subjectforecastingen_US
dc.subjecttime seriesen_US
dc.subjectdouble exponential smoothing holten_US
dc.subjectRMSEen_US
dc.subjectMAPEen_US
dc.titleDOUBLE EXPONENTIAL SMOOTHING UNTUK PERAMALAN RATARATA HARGA BERAS INDONESIA TAHUN 2022en_US
dc.typeArticleen_US

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