PENERAPAN METODE DOUBLE EXPONENTIAL SMOOTHING UNTUK MERAMALKAN PRODUKSI DAN KONSUMSI DOMESTIK BERAS DI INDONESIA

Putri Nur Prasetia, Anita Triska, Julita Nahar
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Abstract

Rice is one of the most important commodities in Indonesia since it is one of the staple foods.Therefore, it becomes one of Indonesian government concerns by setting a goal of 46,8 million tons of rice supply in 2024. Despite 29,67% of the population earns their living from agriculture, forestry, and fisheries, the domestic production of rice could not meet its demand many times. Hence, the forecasting of the production and domestic consumption of rice is needed to know whether the domestic production is able to meet the demand. In this study, the rice production and domestic consumption were forecasted using the Double Exponential Smoothing (DES) method. The DES was chosen due to the pattern of the data shows the trends without seasonality. The accuracy of the forecasting was measured by Mean Absolute Percentage Error (MAPE) and Durbin-Watson statistic test. The yielded forecasts showed that the production rate is lower than the domestic consumption’s so that it would not meet the demand. It was concluded that the DES suitable to be used to forecast production and domestic consumption of rice in Indonesia since its MAPE are 6,48% and 5,91%, respectively. Moreover, the Durbin-Watson statistic showed that there was no autocorrelations on the errors of both data.
工业产品和消费的双指数平滑发展方法
大米是印度尼西亚最重要的商品之一,因为它是主食之一。因此,设定2024年大米供应量为4680万吨的目标,成为印尼政府关注的问题之一。尽管29.67%的人口以农业、林业和渔业为生,但国内水稻产量多次无法满足需求。因此,需要对大米的生产和国内消费进行预测,以了解国内生产是否能够满足需求。本研究采用双指数平滑(DES)方法对水稻生产和国内消费进行了预测。之所以选择DES,是因为数据的模式显示了没有季节性的趋势。预测的准确性通过平均绝对百分比误差(MAPE)和德宾-沃森统计检验来衡量。产出预测显示,生产率低于国内消费,因此无法满足需求。得出的结论是,自其MAPE以来,适用于预测印度尼西亚水稻生产和国内消费的DES分别为6,48%和5,91%。此外,德宾-沃森统计数据表明,这两个数据的误差没有自相关关系。
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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