PERAMALAN HARGA TANDAN BUAH SEGAR KELAPA SAWIT DI PROVINSI RIAU MENGGUNAKAN MODEL AUTOREGRESSIVE MOVING AVERAGE

Putri, Noviyanti

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dc.contributor.author	Putri, Noviyanti
dc.date.accessioned	2019-01-31T03:35:19Z
dc.date.available	2019-01-31T03:35:19Z
dc.date.issued	2019-01-31
dc.identifier.other	wahyu sari yeni
dc.identifier.uri	http://repository.unri.ac.id/handle/123456789/9606
dc.description.abstract	This article discusses the forecasting methods using the ARIMA model based on the year Masehi and Hijriah. This method is used to predict the price of oil palm FFB in Riau Province. In the discussion of this method there are several models, namely the model (i) ARIMA(2, 1, 0)(1, 1, 1)52, (ii) ARIMA(1, 1, 1)(1, 1, 1)52 and (iii) ARIMA(2, 1, 1)(1, 1, 1)52. After the ARIMA models of the year Masehi and Hijriah are obtained, then an ARIMA model is selected, that is the one which has the smallest MSE value.	en_US
dc.description.provenance	Submitted by wahyu sari yeni (ayoe32@ymail.com) on 2019-01-31T03:35:19Z No. of bitstreams: 1 Artikel Novi.pdf: 4205986 bytes, checksum: 26a040069c3fcca0e0d071ae9a9e55ef (MD5)	en
dc.description.provenance	Made available in DSpace on 2019-01-31T03:35:19Z (GMT). No. of bitstreams: 1 Artikel Novi.pdf: 4205986 bytes, checksum: 26a040069c3fcca0e0d071ae9a9e55ef (MD5) Previous issue date: 2019-01-31	en
dc.description.sponsorship	Jurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riau	en_US
dc.language.iso	en	en_US
dc.publisher	wahyu sari yeni	en_US
dc.subject	Forecasting	en_US
dc.subject	ARIMA model	en_US
dc.subject	R language	en_US
dc.subject	MINITAB Software	en_US
dc.subject	mean square error	en_US
dc.title	PERAMALAN HARGA TANDAN BUAH SEGAR KELAPA SAWIT DI PROVINSI RIAU MENGGUNAKAN MODEL AUTOREGRESSIVE MOVING AVERAGE	en_US
dc.type	Article	en_US