PERAMALAN NILAI TUKAR PETANI SUBSEKTOR TANAMAN PANGAN PROVINSI BALI MENGGUNAKAN METODE FUZZY TIME SERIES CHEN

Ulyatil Aeni, Wayan Sumarjaya, Gusti Ayu, Made Srinadi
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Abstract

Forecasting is a way to predict future events. One of the methods for forecasting is to use fuzzy time series Chen method. Fuzzy time series Chen is a development of fuzzy time series Song and Chissom method with more simplified arithmetic operations. In this study, the forecasting for the NTP especially in food crops sub-sector of Bali was done by using first-order and high-order fuzzy time series methods to predict next period. The results show that the most appropriate forecasting method is the second-order fuzzy time series Chen with the result for June 2022 are 90.95, July 2022 are 91.95, and August 2022 are 92.45 with MSE value of 0.4563 and MAPE value of 0.2824%
巴厘岛粮食作物分级农民使用的是《模糊时代》系列陈
预测是预测未来事件的一种方式。预测方法之一是采用模糊时间序列陈方法。模糊时间序列Chen是模糊时间序列Song和Chissom方法的发展,具有更简化的算术运算。在本研究中,采用一阶和高阶模糊时间序列方法对下一阶段的NTP进行了预测,特别是在巴厘岛的粮食作物子行业。结果表明,最合适的预测方法是二阶模糊时间序列Chen,2022年6月、7月和8月的预测结果分别为90.95、91.95和92.45,MSE值为0.4563,MAPE值为0.2824%
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