PREDIKSI PENJUALAN SEPEDA MOTOR MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING

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2020-08

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Abstract

The uncertainty of motorcycle sales, which sometimes increases and decreases in sales, makes it difficult for dealer to determine motorcycle inventory. From this problem the dealere needs a system that can provide information about motorcycle sales predictions to assist dealer in determining motorcycle inventory. This study describes the process of developing a motorcycle sales forecast information system using the Double Exponential Smoothing method and Unified Language Modeling (UML) as a system design. The outputs of this system are table and graph which exhibit motorcycle sales predictions.

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Keywords

Motorcyle Sales, Prediction, Double Exponential Smoothing

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