两种多变分解方法平均移动到苏拉威西中部水稻产量的水平

Faldi Christiawan Kadoena, Rais Rais, L. Handayani
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引用次数: 1

摘要

稻田水稻是一种种植在固定或移动位置的水稻植物。本研究的目的是利用移动平均乘法分解法预测稻田产量,并利用跟踪信号确定预测精度的大小,使用的数据来自中苏拉威西省2008-2016年稻田产量数据,数据来自中苏拉威西省农业局。首先分析分解的成分,即趋势(T),季节(S),循环分量(C)和随机分量(I)然后乘以这些分量的值。利用Minitab 18应用程序辅助的分解方法预测2017年的结果表明,数据的模式包含下降趋势,其方程为Yt = 1895.60 - 7.97 × t,并且具有较强的季节性,数据在某些月份(如3月、4月、8月和12月)的预期模式增加或减少。预测结果在跟踪信号的控制极限-4 ~ +4之间,表明移动平均乘法分解法对2017年中苏拉威西省水稻产量的预测是有效的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metode Dekomposisi Multiplikatif Rata-rata Bergerak Untuk Peramalan Tingkat Produksi Padi Ladang Sulawesi Tengah
Field rice is a rice plants that is planted in a sedentary or shifting location. This study aims to forecast field rice production using the Multiplicative Decomposition method of moving average, and to determine the size of forecasting accuracy using Tracking signal, data used is the data from Central Sulawesi Province Field rice production in 2008-2016 obtained from the Agriculture Service of Central Sulawesi Province The research procedure is begun by analyzing the components of decomposition, namely the components of trend (T), seasonal (S), cyclic (C) and random components (I) then multiplies the value of these components. Forecasting results using the decomposition method helping by the Minitab 18 application in 2017 show that the pattern of the data contains a declining trend with the equation Yt = 1895.60 - 7.97 × t, and has a strong seasonal pattern with the expected pattern of data that increases or decreases in certain months such as March, April, August and December. The forecasting results obtained are at the control limit of Tracking signal which is between -4 to +4 that means the forecasting of rice production in the province of Central Sulawesi in 2017 using the moving average Multiplicative Decomposition method is valid
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