PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN TRIPLE EXPONENTIAL SMOOTHING PADA PERAMALAN NILAI EKSPOR DI INDONESIA

Rindang Ndaru Puspita
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引用次数: 2

Abstract

Exports are a source of foreign exchange that can affect the level of the country's economy and become a benchmark in determining the quality of the country. The value of Indonesian exports expressed in US Dollars is a monthly fluctuating time series data. In an effort to control the value of Indonesia's exports, it is necessary to have the right strategy, one of strategies is forecasting the value of exports in the future. To determine an appropriate forecasting method, the MAPE results from the Double Exponential Smoothing and Triple Exponential Smoothing are compared. From the research, the results of the prediction of the value of Indonesia's exports for the next 7 periods, from June 2022 to December 2022, the most accurate after a comparison of the MAPE value is closest to zero, the result is Triple Exponential Smoothing method more accurate for forecasting the value of Indonesian exports, this is because historical data on the value of Indonesian exports shows a trend and seasonal pattern at the same time
出口是外汇的一个来源,可以影响一个国家的经济水平,并成为决定国家质量的基准。以美元表示的印尼出口价值是每月波动的时间序列数据。为了控制印尼的出口价值,有必要有正确的战略,战略之一是预测未来的出口价值。为了确定合适的预测方法,对双指数平滑和三指数平滑的MAPE结果进行了比较。从研究结果来看,对印尼未来7个时期出口额的预测结果,从2022年6月到2022年12月,经过比较最准确的MAPE值最接近于零,结果表明三指数平滑法对印尼出口额的预测更为准确,这是因为历史数据对印尼出口额同时呈现出趋势和季节性格局
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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