Wiwin Sri Rahayu, Pitojo Tri Juwono, Widandi Soetopo
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引用次数: 3

摘要

准确测定安普隆河10天内的可用水量对种植系统支持DI的农业生产过程具有重要作用。Kedungkandang,因为如果没有精确地确定水的可用性,就会在调节灌溉用水方面出现错误,并且它的使用不会像预期的那样。为了克服这些问题,需要一个能够很好地进行预测的分析系统。其中一种时间序列模型是ARIMA(自回归综合移动平均)模型。利用2008/2009年至2016/2017年9个时间段的流量数据构建模型,预测2017/2018年时间段的流量。在获得的10个暂定模型中,只有5个模型值得使用。最佳模型为ARIMA模型(2,0,1)(1,2,1)36,MSE = 22,90;Kr = 6.00;MSD = 8.05;Mad = 2.04;MPE = 18.53, MPE = -8.98。二季稻作强度由55.79%提高到64.50%,GBK产量提高13.50%。第三季水稻种植强度由37.22%提高到49.99%,GBK产量提高25.54%。
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ANALISIS PREDIKSI DEBIT SUNGAI AMPRONG DENGAN MODEL ARIMA (AUTOREGRESSIVE INTEGRATED MOVING AVERAGE) SEBAGAI DASAR PENYUSUNAN POLA TATA TANAM
An accurate determination of water availability in the 10-day period of the Amprong River has an important role in the planting system to support the agricultural production process in DI. Kedungkandang, because if the availability of water is not precisely determined, there will be an error in regulating irrigation water and its use is not as expected. To overcome these problems, an analysis system is needed that is able to make predictions well. One of the time series models is the ARIMA (Autoregressive Intregated Moving Average) model. The model was built by 9 period discharge data, namely 2008/2009 until 2016/2017, to predict the discharge of period 2017/2018. Of the ten tentative models obtained, there are only five models that are worth using. The best model is the ARIMA model (2,0,1) (1,2,1) 36 with the value of MSE = 22,90; KR = 6.00; MSD = 8.05; MAD = 2.04; MAPE = 18.53 and MPE = -8.98. In second crop season the crop intensity of paddy increased from 55.79% to 64.50%, and the production of GBK increased by 13.50%. While the third crop season paddy crop intensity increased from 37.22% to 49.99%, and GBK production increased by 25.54%.
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