ARISE - National Machine Learning Competition
Kaggle-style ML competition platform for BINUS students, self-hosted on a $5 VPS.
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portfolio
Interactive Teaching Tools
Visual, interactive tools that make abstract ML concepts click, built on the backpropagation teaching tool and its 4-beat story.
Build Diary
An automated public log of what I ship, committed truthfully week by week.
Course Quiz Portals
Weekly quiz portals for ML courses: practice-mode, NIM-gated submissions with instant feedback.
publications
Illness Prediction from Oral Symptoms Using Machine Learning with Small Dataset
Published in Undergraduate thesis, Universitas Katolik Soegijapranata, Semarang, 2022
Undergraduate thesis on predicting illness from oral symptoms using machine learning with small datasets.
Recommended citation: Tarigan, G. A. (2022). "Illness Prediction from Oral Symptoms Using Machine Learning with Small Dataset." Undergraduate thesis, Universitas Katolik Soegijapranata, Semarang.
Enhancing node classification: Integrating particle swarm optimization with graph convolutional networks
Published in 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA), IEEE, pp. 1239-1243, 2024
Particle swarm optimization integrated with graph convolutional networks to improve node classification performance.
Recommended citation: Nasari, M., Pradana, R. C., Tarigan, G. A., Masaling, N. A. P., & Tedjasulaksana, J. J. (2024). "Enhancing node classification: Integrating particle swarm optimization with graph convolutional networks." 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA), pp. 1239-1243.
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Parallelization of LSTM-GRU Architectures for Multivariate Prediction of Stock Prices
Published in 2024 International Conference on Information Management and Technology (ICIMTech), IEEE, pp. 311-315, 2024
Hybrid LSTM-GRU architectures, parallelized for multivariate stock price prediction and benchmarked against transformer-based comparators.
Recommended citation: Tarigan, G. A., Hermawan, E. S., & Girsang, A. S. (2024). "Parallelization of LSTM-GRU Architectures for Multivariate Prediction of Stock Prices." 2024 International Conference on Information Management and Technology (ICIMTech), pp. 311-315.
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Ablation study: Calibrated adaptive learning ensemble methodology
Published in Procedia Computer Science, 269, 993-1001, 2025
An ablation study of the Calibrated Adaptive Learning Ensemble Methodology (CALEM).
Recommended citation: Perdana, G. A., Wijaya, I. I., Fahreza, K. A., & Tarigan, G. A. (2025). "Ablation study: Calibrated adaptive learning ensemble methodology." Procedia Computer Science, 269, 993-1001.
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Indonesian Food Detection with YOLO and Calorie Estimation Using Lightweight LLMs
Published in 2025 8th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), IEEE, pp. 784-789, 2025
Indonesian food detection with YOLO combined with calorie estimation using lightweight large language models.
Recommended citation: Nasari, M., Tarigan, G. A., Masaling, N. A. P., Joddy, S., & Minor, K. A. (2025). "Indonesian Food Detection with YOLO and Calorie Estimation Using Lightweight LLMs." 2025 8th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), pp. 784-789.
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InterQ: a Job Interview Training Platform Using Facial Expression Detection and Answer Scoring
Published in 2025 8th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), IEEE, pp. 841-846, 2025
A job interview training platform using facial expression detection and automated answer scoring.
Recommended citation: Boer, Y., Permatasari, A. C., Kevin, K., Tarigan, G. A., & Suhartono, D. (2025). "InterQ: a Job Interview Training Platform Using Facial Expression Detection and Answer Scoring." 2025 8th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), pp. 841-846.
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Lighter student engagement recognition in a classroom environment using skeletal keypoints
Published in IAENG International Journal of Computer Science, 52(6), 1997-2014, June 2025, 2025
A lightweight computer vision approach to student engagement recognition in classrooms, based on skeletal keypoints.
Recommended citation: Tarigan, G. A., Elwirehardja, G. N., Nugroho, K. S., & Pardamean, B. (2025). "Lighter student engagement recognition in a classroom environment using skeletal keypoints." IAENG International Journal of Computer Science, 52(6), 1997-2014.
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Analyzing Indonesian political hoax detection system on social media using deep learning and natural language processing
Published in Procedia Computer Science, 269, 1742-1751, 2025
Deep learning and NLP methods for detecting political hoaxes on Indonesian social media.
Recommended citation: Prastyapradipta, B., Naoko, K., Himawan, R. A. B., Ibrahim, M. A., & Tarigan, G. A. (2025). "Analyzing Indonesian political hoax detection system on social media using deep learning and natural language processing." Procedia Computer Science, 269, 1742-1751.
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Computer Vision-Based Pose Estimation for Student Engagement Detection: Trends and Challenges
Published in 2025 7th International Conference on Cybernetics and Intelligent System (ICORIS), IEEE, pp. 1-5, 2025
A review of computer vision-based pose estimation approaches for student engagement detection, covering trends and open challenges.
Recommended citation: Tarigan, G. A., Elwirehardja, G. N., Nugroho, K. S., & Pardamean, B. (2025). "Computer Vision-Based Pose Estimation for Student Engagement Detection: Trends and Challenges." 2025 7th International Conference on Cybernetics and Intelligent System (ICORIS), pp. 1-5.
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Product sales recommendation system using item-based collaborative and content-based filtering
Published in Procedia Computer Science, 269, 1643-1653, 2025
A hybrid product sales recommendation system combining item-based collaborative filtering and content-based filtering.
Recommended citation: Harun, J., Yulianto, D., Andrywinata, C., Hermawan, E. S., Pranoto, H., et al. (2025). "Product sales recommendation system using item-based collaborative and content-based filtering." Procedia Computer Science, 269, 1643-1653.
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Skeletal keypoint-based pipeline as a computer vision-based approaches
Published in Communications in Mathematical Biology and Neuroscience, 2026
A skeletal keypoint-based computer vision pipeline for human behavior analysis, applied to classroom engagement.
Recommended citation: Tarigan, G. A., Nugroho, K. S., & Pardamean, B. (2026). "Skeletal keypoint-based pipeline as a computer vision-based approaches." Communications in Mathematical Biology and Neuroscience, 2026.
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Fake Review Detection on E-Commerce Platforms Using a Hybrid Anomaly Detection Approach: Combining Autoencoder and Isolation Forest
Preprint: Research Square (preprint), 2026
A hybrid anomaly detection approach combining autoencoders and Isolation Forest to detect fake reviews on e-commerce platforms.
Recommended citation: Laychi, S., Karuntu, S. P. A., Sihombing, D. H., Sutoyo, R., & Tarigan, G. A. (2026). "Fake Review Detection on E-Commerce Platforms Using a Hybrid Anomaly Detection Approach: Combining Autoencoder and Isolation Forest." Research Square (preprint).
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Assessing Nature-Based Solutions for Jakarta Flood Risk Reduction through Integrated Existing and Projected Flood Hazard Mapping
Published in Evergreen, 13(3), pp. 1251-1266, 2026
Integrated existing and projected flood hazard mapping to assess nature-based solutions for flood risk reduction in Jakarta.
Recommended citation: Gunawan, A. A. S., Irwansyah, E., Tarigan, G. A., Tedjasulaksana, J. J., Juliastuti, & Wijayanti, Y. (2026). "Assessing Nature-Based Solutions for Jakarta Flood Risk Reduction through Integrated Existing and Projected Flood Hazard Mapping." Evergreen, 13(3), pp. 1251-1266.
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Comparison of Adaptive Traffic Light Management Systems Using YOLOv8n and YOLO26n
2026
BINUS student capstone (supervised by Gabriel Asael Tarigan): comparing YOLOv8n and YOLO26n with ByteTrack for real-time vehicle detection in adaptive traffic management systems in Jakarta.
Hybrid Deterministic-Generative Framework: Integrating Financial Risk Classification and Narrative-Driven Portfolio Optimization
Accepted at The 1st International Conference on Computing and Digital Technology (ICoDiT), 2026
An XGBoost-Optuna risk classifier fused with a locally deployed LLM for personalized, narrative-driven portfolio allocation.
Recommended citation: Wijaya, D., Deviana, F., Jonowidjojo, G., Yap, S. S., Sihombing, T. S., & Tarigan, G. A. (2026). "Hybrid Deterministic-Generative Framework: Integrating Financial Risk Classification and Narrative-Driven Portfolio Optimization." The 1st International Conference on Computing and Digital Technology (ICoDiT).
Comparative Evaluation of CNN, Vision Transformer, and Hybrid Architectures with Grad-CAM Explainability for Vision-Based Malware Classification
Accepted at The 1st International Conference on Computing and Digital Technology (ICoDiT), 2026
A comparative study of ResNet-18, ViT-Base/16, and a CNN-Transformer hybrid on the Malimg dataset with Grad-CAM explanations for vision-based malware classification.
Recommended citation: Maulina, A., Widhiarto, E., Charisma, R. A., Tarigan, G. A., & Minor, K. A. (2026). "Comparative Evaluation of CNN, Vision Transformer, and Hybrid Architectures with Grad-CAM Explainability for Vision-Based Malware Classification." The 1st International Conference on Computing and Digital Technology (ICoDiT).
Multimodal Feature Fusion Framework for Parkinson’s Disease Screening Using Hand Drawing and Keystroke
2026
BINUS student capstone (supervised by Gabriel Asael Tarigan): a multimodal AI framework fusing hand-drawing analysis (EfficientNet-B0 with geometric features) and keystroke dynamics (XGBoost) for automated Parkinson’s disease screening via weighted late fusion.
EfficientNet-B0 with Batch-Hard Triplet Loss Fine-Tuning for Multi-Input Signature Forgery Detection
Accepted at The 1st International Conference on Computing and Digital Technology (ICoDiT), 2026
Writer-independent signature forgery detection built on a frozen EfficientNet-B0 backbone with batch-hard triplet loss fine-tuning and cosine-similarity embeddings.
Recommended citation: Sunoto, D. N., Febrianto, Frolentika, Davalynda, J., Sulistiawati, W., & Tarigan, G. A. (2026). "EfficientNet-B0 with Batch-Hard Triplet Loss Fine-Tuning for Multi-Input Signature Forgery Detection." The 1st International Conference on Computing and Digital Technology (ICoDiT).
Real-Time Sitting Posture Detection and Feedback System Using MediaPipe and XGBoost
2026
BINUS student capstone (supervised by Gabriel Asael Tarigan): scale-invariant geometric features with temporal smoothing for real-time sitting posture classification using MediaPipe and an optimized XGBoost classifier.
Lightweight Dual-Hand Landmark Recognition for In-Browser Indonesian Sign Language Communication in Video Meetings (BISINDO Bridge)
2026
BINUS student capstone (supervised by Gabriel Asael Tarigan): a dual-hand BISINDO gesture recognizer with an 84-dimensional MediaPipe landmark vector and compact 1-D CNN, running locally in the browser via ONNX Runtime Web.
FAKTA: An Indonesian Hoax Detection System Based on a Hybrid of LSTM, Large Language Models, and Evidence Retrieval
2026
BINUS student capstone (supervised by Gabriel Asael Tarigan): a hybrid Indonesian hoax detector combining stylistic LSTM classification with claim-based evidence retrieval and LLM adjudication.
Seeing Through Sound: A YOLOv26 and Text-to-Speech Smartphone Navigation System for Visually Impaired People
2026
BINUS student capstone (supervised by Gabriel Asael Tarigan): a real-time smartphone object-detection navigation aid that communicates obstacle position (left, center, right) via audio feedback.
An Intelligent Vision-Based System for Automated Short Pants Detection Using MediaPipe Landmark Estimation and MobileNet Classification
2026
BINUS student capstone (supervised by Gabriel Asael Tarigan): a vision-based dress-code compliance system combining MediaPipe Pose and transfer-learned MobileNetV2 with a standardized fingertip benchmark.
WASPADA (Weapon And Suspicious Pose Alert & Detection Aggregator) to Enhance ATM Security via CCTV
Accepted at The 1st International Conference on Computing and Digital Technology (ICoDiT), 2026
A real-time ATM CCTV surveillance framework combining YOLO26-based weapon and suspicious-pose detection with decision-level threat scoring and automated alerting.
Recommended citation: Sutanto, A. A., Pariandika, I. G. W. D., Zefanya, K., Muliana, R. A., Tarigan, G. A., & Samuel (2026). "WASPADA (Weapon And Suspicious Pose Alert & Detection Aggregator) to Enhance ATM Security via CCTV." The 1st International Conference on Computing and Digital Technology (ICoDiT).
A Low Latency Python-Unity Integrated Framework for Real-Time BISINDO Recognition: A Comparative Analysis of Coordinate-Based Deep Learning Architectures
Accepted at The 2nd International Conference on Artificial Intelligence for Sustainability in the Developing World (AISDW2026), 2026
A low-latency Python-Unity integrated framework for real-time BISINDO (Indonesian sign language) recognition, comparing coordinate-based deep learning architectures.
Recommended citation: Chandra, V. P., Kwek, W. V., Tjandra, A. A. M., Tarigan, G. A., & Sutoyo, R. (2026). "A Low Latency Python-Unity Integrated Framework for Real-Time BISINDO Recognition: A Comparative Analysis of Coordinate-Based Deep Learning Architectures." The 2nd International Conference on Artificial Intelligence for Sustainability in the Developing World (AISDW2026).
Application of Augmented Reality for Motorcyclist’s Sitting Posture Guidance
Accepted at 2026 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA), IEEE, 2026
A smartphone-based Augmented Reality application providing real-time spatial calibration for motorcyclists’ riding posture, built with Unity, Vuforia, and Blender.
Recommended citation: Putra, R. D., Kumala, C. D., Salim, J. S., Sutoyo, R., & Tarigan, G. A. (2026). "Application of Augmented Reality for Motorcyclist's Sitting Posture Guidance." 2026 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA).
Enhancing Cross-Dataset Generalization in Deepfake Detection: A Multi-Source Fine-Tuning Approach with XceptionNet
Accepted at 2026 9th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), IEEE, 2026
A multi-source fine-tuning approach with XceptionNet to enhance cross-dataset generalization in deepfake detection.
Recommended citation: Yovan, K., Tarigan, G. A., & Sutoyo, R. (2026). "Enhancing Cross-Dataset Generalization in Deepfake Detection: A Multi-Source Fine-Tuning Approach with XceptionNet." 2026 9th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI).
DR-VERGE: Complementarity-Shift Distillation dan Kuantisasi untuk Grading Retinopati Diabetik pada Fundus Dual-View
2026
BINUS student team (supervised by Gabriel Asael Tarigan), Gemastik submission: a dual-view diabetic retinopathy grading framework combining ordinal CORAL modelling, complementarity-shift knowledge distillation, and INT8 quantization for efficient low-resource deployment.
Emotional Framing Effects on Medical Triage in General-Purpose and Medical-Adapted LLMs
Accepted at 2026 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA), IEEE, 2026
A study of how emotional framing affects medical triage performance in general-purpose and medical-adapted large language models.
Recommended citation: Taslim, S. V., Amethyst, M. G., Tarigan, G. A., Nugroho, K. S., & Pardamean, B. (2026). "Emotional Framing Effects on Medical Triage in General-Purpose and Medical-Adapted LLMs." 2026 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA).
talks
teaching
COMP6577001- Machine Learning
Undergraduate course, BINUS University, Computer Science program, 2024
Foundations of machine learning: supervised and unsupervised methods, from data analysis and regression to clustering and dimensionality reduction.
COMP6986001- Artificial Intelligence Solution
Undergraduate course, BINUS University, Artificial Intelligence Program, 2026
How AI creates measurable business value: strategy, data readiness, ethics, and leading AI-driven initiatives.
COMP6966001- Applied Computer Vision
Undergraduate course, BINUS University, Artificial Intelligence Program, 2026
Computer vision with PyTorch: from neural network fundamentals to CNNs, object detection, segmentation, and generative vision.
COMP6965001- Applied Natural Language Processing
Undergraduate course, BINUS University, Artificial Intelligence Program, 2026
LLM-centric NLP: language models, tokens and embeddings, transformers, prompt engineering, retrieval-augmented generation, and fine-tuning.
COSC6051001- Deep Learning
Undergraduate course, BINUS University, Artificial Intelligence Program, 2026
Theoretical and probabilistic foundations of deep learning: probability, distributions, neural architectures, and generative models.
First Year Program
Workshop series, BINUS University, 2026
Preparation workshops for final year project students: algorithms, C programming, Python and machine learning, and computational thinking.
COMP6967001- Internet of Things and Robotics
Undergraduate course, BINUS University, Artificial Intelligence Program, 2026
From sensors and ESP32 to cloud platforms and edge AI: building end-to-end intelligent IoT ecosystems.
COMP6984001- Machine Learning Operations
Undergraduate course, BINUS University, Artificial Intelligence Program, 2026
Building and operating ML systems end-to-end: experimentation, model serving, monitoring, and production discipline.
Research Methodology
Course, BINUS University, 2026
Guiding research methodology: research group formation, proposal development, and weekly progress tracking.
COMP6987001- Signal Processing
Undergraduate course, BINUS University, Artificial Intelligence Program, 2026
Digital signal processing in Python: acquisition, filtering, spectral and time-frequency analysis, and machine learning for signal data.