Prediksi Penjualan Minuman Kopi Menggunakan Algoritma Extreme Learning Machine (Studi Kasus Nuansa Coffee)

Abstract

The problem faced by Nuansa Coffee is that there is no system that applies sales forecasting methods. As a result, this cafe only relies on determining sales from the cafe owner based on the previous period without accurate calculations. The case study uses coffee drink sales data using 2022-2024 data. The Extreme Learning Machine method has the advantage of faster learning speed. The results of the research carried out showed that the ELM method was able to produce MAPE with a percentage of 3.956%.