Research output
MACHINE LEARNING-BASED CLASSIFICATION OF SPACE TRAVEL ELIGIBILITY USING SUPPORT VECTOR MACHINE, RANDOM FOREST, AND XGBOOST
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Year 2025
Open Access
PENDAMPINGAN PENGGUNAAN GOOGLE COLAB PADA PEMBELAJARAN PYTHON DAN MACHINE LEARNING BAGI DOSEN MATEMATIKA DI PALEMBANG
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Year 2025
Open Access
Three Decades of Forest Biomass Estimation in Southeast Asia: A Systematic Review of Field, Remote Sensing, and Machine Learning Approaches (1995–2025)
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Year 2025
Open Access
System Architecture Modelling of Sugarcane Agroindustry Machinery Anomaly Detection Through Machine Learning
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Year 2025
Closed
Front-End Development of an Android-Based Fish Price Prediction Application
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Year 2025
Open Access
ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH PRACTICE: A SYSTEMATIC REVIEW OF APPLICATIONS AND RELATIONAL IMPLICATIONS
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Year 2025
Open Access
Detection of Edible Insect Kolbe ( <i>Protaetia brevitarsis seulensis</i> ) Powder Adulteration Using FTIR Spectroscopy and Chemometrics: A Regression-Based Analysis
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Year 2025
Open Access
A Comparative Hybrid Approach for Python Bug Detection Using Syntactic Features, Random Forest, and Neural Network
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Year 2025
Open Access
Fine-tuning Transformer Models for Emotion Detection in Indonesian Tweets Indicating Depression
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Year 2025
Open Access
Multi-class Classification of Obesity Levels Using Gradient Boosting, Random Forest, and C4.5
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cite 1
Year 2025
Closed
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