Instal : Jurnal Komputer
Vol 16 No 05 (2024): Instal : Jurnal Komputer

Intelligent System for Coffee Bean Roast Level Classification Using Electronic Nose and Artificial Neural Network

Justam (Unknown)
Batti, Sartho (Unknown)
Erlita (Unknown)
Fanani mz, Luqman (Unknown)
Sibiti, Milda (Unknown)



Article Info

Publish Date
30 Dec 2024

Abstract

Roasted coffee beans release gaseous compounds, primarily carbon dioxide (CO₂). Coffee comes in various types, including Robusta, Arabica, Excelsa, Tubruk, Latte, and Luwak. However, this study focuses only on Robusta and Arabica coffee. Each roast level of coffee beans has its own distinct aroma, necessitating a fast and accurate method to differentiate them. Therefore, this research aims to classify coffee bean roast levels based on their aroma profiles. The dataset for classifying Robusta and Arabica coffee roast levels was obtained from data collection using a miniature Electronic Nose system. A total of 900 data samples were collected, with 720 samples used for training and 180 samples used for testing. This study employs an Artificial Neural Network (ANN) with an Electronic Nose for classification. The True Positive (TP) results obtained for each coffee roast level are 44 for Light roast, 55 for Medium roast, and 57 for Dark roast. The classification accuracy achieved in determining the roast level of coffee beans is 86%.

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Journal Info

Abbrev

Instal

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Focus And Scope Instal : Jurnal Komputer is a peer-reviewed scientific journal published by CV. Cattleya Darmaya Fortuna which has been published since 2009. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of ...