Peramalan Produksi Kelapa Sawit dan Karet di Provinsi Kalimantan Selatan

Anis Huzaimanor Izafera, Nur Salam, D. Susanti
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引用次数: 1

Abstract

In Indonesia, the plantation sub-sector has an important role in increasing state revenue through the exports of its products, besides the mining and gas sector. The most widely produced plantation crops in Indonesia are oil palm and rubber and South Kalimantan is one of the top 10 provinces in Indonesia with oil palm plantations. This study aims to detect the correct forecasting model for data on oil palm crops and rubber production in South Kalimantan Province and to analyse the forecasting results for oil palm crops and rubber in South Kalimantan Province using the double exponential smoothing method.  This research was conducted for 8 months (March 2022 to December 2022), using observational data from 2001 to 2021. Double Exponential Smoothing Holt was used in this study by looking at the error value obtained with the smallest Mean Absolute Percentage Error (MAPE). For palm oil production, the parameters α=0.8 and β=0.6 were the best parameters with a MAPE value of 8.05% and resulted in the forecasting of oil palm crops production in 2022 not increasing, in 2023 and 2024 experiencing an increase of 1%. As for forecasting rubber production, the parameters α=0.9 and β=0.9 are the best parameters with a MAPE value of 5.45% and forecasting rubber production in 2022 will increase by 1%, in 2023 and 2024 by 2%.
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南加里曼丹省Suwit和Karet焦炭的平行生产
在印度尼西亚,除了采矿和天然气部门外,种植园子部门还通过出口其产品在增加国家收入方面发挥着重要作用。印尼种植面积最大的种植作物是油棕和橡胶,南加里曼丹省是印尼种植油棕最多的10个省份之一。本研究旨在检测南加里曼丹省油棕作物和橡胶产量数据的正确预测模型,并使用双指数平滑方法分析南加里曼坦省油棕农作物和橡胶产量的预测结果。这项研究使用2001年至2021年的观测数据进行了8个月(2022年3月至2022年12月)。双指数平滑动态心电图用于本研究,通过观察最小平均绝对百分比误差(MAPE)获得的误差值。对于棕榈油产量,参数α=0.8和β=0.6是最佳参数,MAPE值为8.05%,导致2022年油棕榈作物产量的预测没有增加,2023年和2024年的产量增加了1%。在预测橡胶产量方面,参数α=0.9和β=0.9是最佳参数,MAPE值为5.45%,预测2022年橡胶产量将增长1%,2023年和2024年将增长2%。
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审稿时长
24 weeks
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