Please use this identifier to cite or link to this item:
https://repository.unej.ac.id/xmlui/handle/123456789/124733
Title: | Prediksi menggunakan Metode Extreme Learning Machine untuk Penjualan Produk Kopi Bubuk (Studi Kasus Kafe Tjap Daoen Bondowoso) |
Authors: | MADANI, Anis |
Keywords: | prediksi penjualan Extreme Learning Machine Mean Absolute Percentage Error Mean Absolute Deviation |
Issue Date: | 20-Jul-2023 |
Publisher: | Fakultas Ilmu Komputer |
Abstract: | Cafe Tjap Daoen, has not used a method to support sales forecasting so that the cafe only determines the sales of the cafe owner with reference to the previous period without any calculations resulting in underproduction when busy, overproduction of coffee when there are several orders. This study uses two Arabica Specialty Coffee and Arabica Wine products with data for 2019 – 2022 respectively. The Extreme Learning Machine (ELM) algorithm has very good performance in predicting time series data. The results of the research conducted, the ELM Algorithm is able to produce MAPE with a percentage of 1.2658% and MAD 3.1784 Arabica Specialty Coffee, Arabica Wine MAPE 10.373% MAD 3.5097. |
URI: | https://repository.unej.ac.id/xmlui/handle/123456789/124733 |
Appears in Collections: | UT-Faculty of Computer Science |
Files in This Item:
File | Description | Size | Format | |
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172410102081_Anis Madani.pdf Until 2029-10-29 | 812.21 kB | Adobe PDF | View/Open Request a copy |
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