PENERAPAN FORECASTING PADA PENJUALAN MOBIL SHOWROOM MITSUBISHI MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING
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Date
2023-11
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Elfitra
Abstract
PT. Suka Fajar, Pekanbaru district, has a fairly high level of sales in a year, so a sales
strategy is needed for the future. Therefore, predictions are made using the Double
Exponential Smoothing method, with the results of the research expected to be a
decision support for stakeholders in providing product stock for the progress of
business processes. The initial data obtained in this study is car sales data from
January - December 2022 with a total of 34 items sold at PT. Suka Fajar Pekanbaru.
Use of forecasting in Mitsubishi showroom car sales using the Double Exponential
Smoothing method with an alpha value of 0.1 to 0.9 produces a different predictive
value for each item. This difference is caused by differences in the amount of data each
month on each item (car). The Dakar Ultimate 4X4 A/T item produces the smallest
MAPE error value with an alpha of 0.6, which is 17% and the prediction result for
January 2023 is 9.
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Keywords
Mobil, Showroom, Forecasting, Double Exponential Smoothing
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