Applying Artificial Intelligence to Classify the Maturity Level of Coffee Beans During Roasting | Herman Suryana | International Journal of Engineering, Science and Information Technology

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Dede Herman Suryana
Universitas Gunadarma
Indonesia

Wahyu Kusuma Raharja
Universitas Gunadarma
Indonesia

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Keywords Adsorption, Biosorbent, Nipah Midrib, Heavy Metals, Lead BERT, Classification, Online Game, Sentiment Analysis Benefits of International Trade, Product Variety, Crisis, Imports CNN, ROI, Smartphone, Coffee Beans Classification, Sentiment Analysis, Convolutional Neural Network, Deep Learning Composite Material, Natural Fiber, Bamboo, Alkali Economic Feasibility, NPV, BCR, IRR Electrical Energi, Conductors, Transformers, Technical Shrinkage, ETAP Galangal Stem, Pineapple Leaf, Banana Stem, Anova, Tensile Strength Hydrogel, Chitosan, Pectin, Citric Acid, Primary Wound Dressing Land Transportation, GDP Regional, Construction, Road Length Metavers, Marketing Universe, Bibliometric, Scientific Mapping Multilayer Perceptron, Chroma Feature, MFCC, Classification, Music Genre Patient, Critical, Training, Holistic Prototype, Seismicity Mitigation, Flats, Structures Road, Service Level, Regression, Manokwari, Alternative Sea Transportation, GDP, Regional Setiawan Steel Structure, Bracing, Shearwall, Fundamental Period, Base Shear Teuku Umar University, Daily Activities, Commuting Workload, Full-Time Equivalent, Optimal Workforce

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Copyright (c) 2023 Dede Herman Suryana, Wahyu Kusuma Raharja

International Journal of Engineering, Science and Information Technology (IJESTY) eISSN 2775-2674

Published by Department of Information Technology, Universitas Malikussaleh, Indonesia

Editor E-mail: journalijesty@gmail.com

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