Penerapan Metode Single Eksponensial Smoothing dan Least Square untuk Memprediksi Penjualan Produk Kopi di Mula Kopi Medan

Abstract

Mula Kopi Medan is one of the business actors engaged in coffee shops. Sales fluctuations are a challenge for the management in providing raw material needs, this is due to the absence of forecasts for future sales. Single Exponential Smoothing and Least Square are forecasting methods that predict the value of a variable based on the value of the previous time. The results of the implementation of Single Exponential Smoothing predict 195 products sold in June 2024 and Least Square predicts 225 products. This states that these two methods can be used to forecast sales growth. The addition of data can optimize the Single Exponential Smothing and Least Square Methods to produce more precise and accurate predictions.