Rice production continues to be spurred to meet the increasing need for food. Meanwhile, based on data from the Badan Pusat Statistik, in 2019 there was a decline in national rice production, especially in North Sumatra Province. In this research, it was found that the estimated amount of rice production for the next 8 periods was obtained using the Box Jenkins ARIMA method with the ARIMA model (2,0,6) experiencing an up and down trend, The MAPE (Mean Absolute Percentage Error) deviation value is obtained by 12.84%, the forecast model is quite efective to be used
The purpose of this research is to know the dynamics of suppling rice in era before and after region...
Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company...
As rice (milled palay) is an integral part of a Filipino meal, it is important to have an accurate e...
The study was undertaken to fit the best Auto-Regressive Integrated Moving Average (ARIMA) model tha...
Magelang City has experienced a significant decline in the rice production sector, triggering the ne...
Lastinawati E, Mulyana A, Zahri I, Sriati S. 2019. ARIMA model for rice price forecasting in Ogan Ko...
The study was undertaken to examine the best fitted ARIMA model that could be used to make efficient...
This study is concerned to the application of forecasting techniques for some selected paddy product...
Abstract: This study aims to find out the best forecasting model with ARIMA method. The data used by...
Rice is the staple food for Indonesian people and Indonesia was in self-sufficiency for rice in 1984...
The ARIMA (Autoregressive Integrated Moving Average) method is a very appropriate method to use for ...
The study was undertaken to fit the best Auto-Regressive Integrated Moving Average (ARIMA) model tha...
Kajian ini bertujuan untuk meramalkan produksi kedelai di Sumatera Utara tahun 2016-2019. Â Metode y...
Not AvailableForecasting of rice area, production, and productivity of Odisha was made from the hist...
Forecasting of rice area, production, and productivity of Odisha was made from the historical data o...
The purpose of this research is to know the dynamics of suppling rice in era before and after region...
Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company...
As rice (milled palay) is an integral part of a Filipino meal, it is important to have an accurate e...
The study was undertaken to fit the best Auto-Regressive Integrated Moving Average (ARIMA) model tha...
Magelang City has experienced a significant decline in the rice production sector, triggering the ne...
Lastinawati E, Mulyana A, Zahri I, Sriati S. 2019. ARIMA model for rice price forecasting in Ogan Ko...
The study was undertaken to examine the best fitted ARIMA model that could be used to make efficient...
This study is concerned to the application of forecasting techniques for some selected paddy product...
Abstract: This study aims to find out the best forecasting model with ARIMA method. The data used by...
Rice is the staple food for Indonesian people and Indonesia was in self-sufficiency for rice in 1984...
The ARIMA (Autoregressive Integrated Moving Average) method is a very appropriate method to use for ...
The study was undertaken to fit the best Auto-Regressive Integrated Moving Average (ARIMA) model tha...
Kajian ini bertujuan untuk meramalkan produksi kedelai di Sumatera Utara tahun 2016-2019. Â Metode y...
Not AvailableForecasting of rice area, production, and productivity of Odisha was made from the hist...
Forecasting of rice area, production, and productivity of Odisha was made from the historical data o...
The purpose of this research is to know the dynamics of suppling rice in era before and after region...
Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company...
As rice (milled palay) is an integral part of a Filipino meal, it is important to have an accurate e...