Color Feature Selection Optimized with Bio- Inspired Algorithms in Classify Purity of Luwak Coffee
Abstract
Assessing the purity of Luwak Coffee is a complex challenge due to its unique production and limited availability, as visual inspection is unreliable. This study explores the use of image processing and feature selection to classify Luwak Coffee purity by analyzing 11 color features including RGB, HSV, HSL, and Lab color spaces. Two classification methods k-Nearest Neighbors (k-NN) and Random Forest (RF) were optimized using six Bio-Inspired Algorithms (Differential Evolution, Firefly Algorithm, Flower Pollination Algorithm, Harris Hawk Algorithm, Jaya Algorithm, and Particle Swarm Optimization) to identify the most important features for classifying the purity of Luwak Coffee. The results revealed that feature selection significantly improved accuracy, with the Jaya Algorithm paired with k-NN achieving the highest accuracy (0.918) using only three features (R_Mean, B_Mean, and H_Mean). For RF, the Flower Pollination Algorithm yielded the best performance (0.899) with three features. The study demonstrates a classification method coupled with Bio-Inspired Algorithms for classifying Luwak Coffee purity providing high accuracy as a non-destructive method. These findings contribute to the development of reliable tools for classifying purity of Luwak Coffee
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Jurnal Teknologi Informasi dan Terapan (J-TIT) and Department of Information Technology, Politeknik Negeri Jember as publisher of the journal. Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations. Authors should sign a copyright transfer agreement when they have approved the final proofs sent by Jurnal Teknologi Informasi dan Terapan (J-TIT) prior to the publication. The copyright transfer agreement can be download here .
Jurnal Teknologi Informasi dan Terapan (J-TIT) and Department of Information Technology, Politeknik Negeri Jember and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in Jurnal Teknologi Informasi dan Terapan (J-TIT) are the sole responsibility of their respective authors and advertisers.
Users of this website will be licensed to use materials from this website following the Creative Commons Attribution 4.0 International License. No fees charged. Please use the materials accordingly.
This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
