Improving Sentiment Classification of Indonesian Skincare Reviews through Fine-Tuned IndoBERT and Data Augmentation | Thahira | International Journal of Engineering, Science and Information Technology

About The Authors

Nadia Thahira
Universitas Malikussaleh
Indonesia

Department of Informatics, Faculty of Engineering

Ar Razi
Universitas Malikussaleh
Indonesia

Department of Informatics, Faculty of Engineering

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Keywords AI-Guided Quantum Materials, Machine Learning, Reinforcement Learning, Quantum Simulations, Graph Neural Networks Activity, City, Transportation, Analytical Hierarchy Process Artificial Intelligence, Film and Television Production, Creativity, Post-Production Autonomous, Driverless, Conservation, Vehicles, Image Processing Blockchain, Internet of Things, Access Control, Healthcare Data Security, Smart Contracts Boarding House, C4.5, Classification, Data Mining, Machine Learning Cloud Computing, Smart Grid, Renewable Energy Integration, Energy Efficiency, Predictive Analytics Cloud-Edge Computing, Renewable Energy Optimization, Exergy Efficiency, Machine Learning, IoT Sensors Computational Fluid Dynamics, Fuel Efficiency, Lift Increase, Structural Analysis Content Validity I-CVI Internet of Medical Things, Body Sensor Network, Remote Monitoring System, Neurological Disorder, Health Issues K-Means, Initial Centroid Selection, Hybrid Deep Fixed K-Means, Deep K-Means++, Fixed Centered K-Means MOOC. Occupational Health, Physical Recovery, Stress, Therapy, Well-being Schema Evolution, Operator Robustness, Self-Adaptive Pipelines, Data Quality Optimization, Provenance-Guided Repair Seismic Performance, Rebar Sleeve Connections, Prefabricated Construction, Cyclic Loading, Structural Resilience Software Quality Soil Erosion, Multi-Objective Optimization, Contour Planting, Sustainable Agriculture Supply Chain, Engineering, Manufacturing Firms, Sustainability, Firms VGG-1CNN Neural Network, Generative Pre-Trained, Transformer, Stable Diffusion, Automated Image Generation

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Copyright (c) 2026 Nadia Thahira, Ar Razi

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

Published by Malikussaleh University, Indonesia

Editor E-mail: journalijesty@gmail.com

The works in the IJESTY Journal are licensed under a Creative Commons Attribution 4.0 International Public License (CC BY 4.0).