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dc.contributor.advisorMardiningsih
dc.contributor.authorSilitonga, Maria Theresa
dc.date.accessioned2024-01-11T04:25:23Z
dc.date.available2024-01-11T04:25:23Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/90057
dc.description.abstractNorth Sumatra Province is one of the provinces with the largest amount of rice production in Indonesia. The amount of rice yields can be considered periodically in order to make decisions. The ability to forecast rice production using forecasting methods will be indispensable in this era. This research uses Brown's one-parameter Double Exponential Smoothing Method in forecasting rice production. The data used for forecasting is rice production data of North Sumatra Province for the period 2013-2022. With so many forecasting parameters, a deeper analysis is needed to determine the best parameters so as to minimize the MAPE value. From the method used, the results show that for the next 3 periods, rice paddy production in North Sumatra Province decreased to 1.186.635,15 tons from 2022.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectBrown's One-Parameter Linear Methoden_US
dc.subjectSmoothing Methoden_US
dc.subjectSDGsen_US
dc.titleMetode Pemulusan (Smoothing) Eksponensial Ganda dalam Meramalkan Produksi Padi di Provinsi Sumatera Utara pada Tahun 2025en_US
dc.typeThesisen_US
dc.identifier.nimNIM202407037
dc.identifier.nidnNIDN0005046302
dc.identifier.kodeprodiKODEPRODI49401#Statistika
dc.description.pages65 Halamanen_US
dc.description.typeKertas Karya Diplomaen_US


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