用sarima方法预测尼兰姆的产量以满足出口需求(案例研究:arc usk)

R. D. Lufika, Syahriza Syahriza, D. Asmadi, E. Fradinata, F. Erwan, Riski Arifin, Longga Nabila
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引用次数: 0

摘要

印度尼西亚工业的迅速发展导致许多公司和商业行为者开始为国际市场竞争做出贡献。对成品需求的规划是公司在商业世界中制定战略的重要要点之一,以便公司能够在市场上竞争。ARC USK是亚齐生产商业广藿香产品的主要研究中心之一,其中之一是尼拉姆香水产品。ARC USK此时面临的问题是,对于Neelam Parfum的出口产量本身的需求是无法确定的,这是因为ARC USK从来没有出口过Neelam Parfum产品,到目前为止只在国内分销,所以商业生产的数量只是为了满足国内市场的需求。本研究旨在使用SARIMA方法为Neelam Parfum创建出口生产计划,并确定实施策略,以最大化Neelam Parfum ARC USK的生产活动。在Eviews10软件的帮助下,使用2020-2021年Neelam Parfum出口生产目标数量的数据进行数据处理。预测的验证过程使用MAPE计算进行。结果表明,MAPE值为21.334%,基于这些结果,可以使用所选择的SARIMA模型对2022年的12个时期进行预测,并且ARC USK已经批准了9个实施策略用于Neelam Parfum的出口生产活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FORECASTING OF THE NEELAM PERFUM PRODUCTION USING THE SARIMA METHOD TO MEET THE EXPORT DEMAND (CASE STUDY: ARC USK)
The rapid development of industry in Indonesia has resulted in many companies and business actors starting to contribute to international market competition. Planning for finished product requirements is one of the important points for companies in making strategies in the business world so that companies are able to compete in the market. ARC USK is one of the leading research centers in Aceh that has produced commercial patchouli products, one of which is the Neelam Parfum product. The problem faced by ARC USK at this time is that the need for the amount of export production of Neelam Parfum itself cannot be determined with certainty, this is because ARC USK has never exported Neelam Parfum products and so far only distributes it domestically so that the amount of commercial production is only made for meet the needs of the domestic market. This study aims to create an export production schedule for Neelam Parfum using the SARIMA method and determine an implementation strategy to maximize production activities for Neelam Parfum ARC USK. Data processing is carried out using data on the number of Neelam Parfum export production targets for 2020-2021 with the help of the Eviews10 software. The validation process for forecasting is carried out using MAPE calculations. The results showed that the MAPE value was 21.334%, based on these results the forecasting of 12 periods in 2022 using the selected SARIMA model can be used and there are 9 implementation strategies that have been approved by ARC USK for export production activities of Neelam Parfum.
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