ANALISIS PREDIKSI PERSEDIAAN BERAS MENGGUNAKAN METODE SINGLE EXPONENTIAL SMOOTHING BERBASIS WEB

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Musdalifa Thamrin

Abstract

The shop is one type of business engaged in the agricultural sector selling rice. The basic thing that often happens in making all sales plans difficult to realize is mistakes in making accurate sales predictions and it is difficult for stores to determine the amount of rice that needs to be provided because to find out the current remaining stock, it must be calculated directly and recorded. The results of this study make an application to predict rice stocks using the Exponential smoothing method to calculate sales transaction data so as to produce a prediction of rice stocks in the future. The data that has been tested, namely 50 rice sales data in 2022, obtained predictions for the January 2023 period, namely 55 tons of rice.

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How to Cite
Thamrin, M. (2023). ANALISIS PREDIKSI PERSEDIAAN BERAS MENGGUNAKAN METODE SINGLE EXPONENTIAL SMOOTHING BERBASIS WEB. Jurnal Sistem Informasi SIBerPro, 8(1), 22-29. https://doi.org/10.56708/siberpro.v8i1.381