基于Box-Jenkins方法和ARIMA模型的Maros地区水稻产量预测分析

Sulaeman Nurman, M. Nusrang, Sudarmin
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引用次数: 1

摘要

Box-Jenkins方法是一种用于预测时间序列数据的统计方法。这种方法使用过去的数据作为因变量。本研究中使用的数据是2001年至2018年马洛斯摄政的水稻产量数据,数据来自马洛斯摄政中央统计局和南苏拉威西省粮食安全、粮食作物和园林部。结果表明,ARIMA(0,2,1)模型是预测马罗斯县水稻产量的合适模型。预测结果表明,马洛斯县水稻产量逐年增加,平均增加3807.1吨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Rice Production Forecast in Maros District Using the Box-Jenkins Method with the ARIMA Model
The Box-Jenkins method is a statistical method used for forecasting time series data. This method uses data in the past as the dependent variable. The data used in this study is data on the amount of rice production in Maros Regency which was taken from 2001 to 2018 which was taken from the Central Statistics Agency of Maros Regency and the Department of Food Security, Food Crops, and Horticulture of South Sulawesi Province. The results obtained show that the ARIMA(0,2,1) model is a suitable model to predict the amount of rice production in Maros Regency. Forecasting results show that the amount of rice production in Maros Regency has increased every year with an average increase of 3807.1 tons.
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