IF 0.3 Q4 MATHEMATICS
Anik Rufaidah, M. Effindi
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引用次数: 1

摘要

摘要希腊UMKM产生的全国销售数据总是波动的,它们也影响着趋势。检测影响原材料供应的远期销售。所以我们使用“双指数平滑”和冬季乘性季节性建模。从建模结果来看,最小的MAD和MSD是冬季乘性季节性模型,因此我们预测了未来6个月的模型。关键词:双指数平滑,冬季乘性季节性,预测。摘要东爪哇省Gresik县中小企业(SME)的全国Songkok销售额数据一直在波动,这些数据也影响了上升趋势。为了检测影响原材料库存的未来销售额,本研究使用了双指数平滑和冬季乘性季节性建模。从建模结果来看,MAD和MSD的最小值是冬季乘性季节性模型。模型预测未来6个月使用的数据。关键词:双指数平滑,冬季乘性季节性,预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perbandingan Peramalan Dengan Metode Eksponensial Smoothing dan Winter Multiplicative Seasonality pada Data Penjualan Songkok Nasional UMKM di Kabupaten Gresik
Abstrak. Data penjualan songkok Nasional yang diproduksi oleh UMKM kabupaten Gresik selalu mengalami fluktuatif dan data tersebut juga berpengaruh adanya trend naik. Untuk mendeteksi penjualan kedepan yang berpengaruh dengan persediaan bahan baku. Sehingga kami menggunakan pemodelan dengan  Double Exponential Smoothing dan Winter Multiplicative Seasonality . Dari hasil pemodelan ternyata nilai MAD dan MSD yang didapat terkecil adalah model Winter Multiplicative Seasonality , sehingga model tersebut kami buat forecasting untuk 6 bulan kedepan. Kata Kunci: Double Exponential Smoothing, Winter Multiplicative Seasonality, forecasting. Abstract. Data on National Songkok sales produced by Small and Medium Enterprises (SMEs) in Gresik Regency of East Java Province was always fluctuate and the data also influences the uptrend. In order to detect future sales which was affecting the inventory of raw materials, this research use modeling with Double Exponential Smoothing and Winter Multiplicative Seasonality. From the modeling results, it turns out the smallest value of MAD and MSD is the Winter Multiplicative Seasonality model. The data used by the model forecast for the next 6 months. Keywords: Double Exponential Smoothing, Winter Multiplicative Seasonality, forecasting.
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来源期刊
Matematika
Matematika MATHEMATICS-
自引率
25.00%
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审稿时长
24 weeks
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