Projects & Research
Applied machine learning, published research, and ongoing investigations. Explore a project for the approach, findings, and source material.
Employee Retention Predictor
A machine-learning classification model built to predict whether employees will stay with or leave an organization, helping HR teams proactively flag attrition risk.
Conditional GAN for Fashion MNIST
A deep-learning project implementing a Conditional Generative Adversarial Network (CGAN) on the Fashion-MNIST dataset to generate and classify images of T-shirts and trousers conditioned on labels.
Autoencoder for Fashion MNIST
An autoencoder model trained on the Fashion-MNIST dataset to learn compressed representations of clothing images, enabling reconstruction and analysis of latent features.
Stock Price Prediction Using LSTM
A time-series prediction project using Long Short-Term Memory (LSTM) neural networks to forecast stock prices based on historical financial data and trends.
Facial Expression Detection
A computer-vision solution that detects and classifies human facial expressions in images (or video frames) to understand emotion states and behaviour.
TRISTEP
An innovative AI-powered platform designed to bridge the gap between the supply and demand of digital talent in Indonesia.
Jakarta Air Quality Index Classification
A classification model developed to assess and categorize air-quality index levels in Jakarta using environmental sensor data, aiding public health and urban monitoring.
Batik Classification
A computer-vision classification model built to distinguish types or patterns of batik designs, leveraging image datasets of traditional batik motifs for cultural pattern recognition.
Bank Customer Churn Prediction
A predictive-analytics project that builds a model to identify which bank customers are likely to churn, helping financial institutions target retention strategies and reduce customer loss.
Detecting Bipolar Disorder based on Crowdsourced Symptoms...
Published in Procedia Computer Science (2024), utilizing Shapley Additive Explanations (SHAP) to interpret ML models for bipolar disorder detection.
Unravelling Public Opinion on Climate Change...
Published in IEEE (2025), this research uses Latent Dirichlet Allocation (LDA) and deep sentiment analysis models to explore and classify public opinion on climate change from large-scale Twitter data.
Investigating the Capability of LSTM Input Layers...
Published in Communications in Mathematical Biology and Neuroscience (2024), this study analyzes how LSTM network input configurations affect the prediction accuracy of water quality parameters.
Facial Expression Recognition for Public Service...
Published in the proceedings of the 2025 International Conference on Information Technology and Digital Applications. Compares CNN-based and landmark-based models for real-time facial expression recognition.
AI-Based System for Indonesian Sign Language...
Published in the proceedings of the 2025 International Seminar on Research of Information Technology and Intelligent Systems. Develops an AI-powered system for recognizing and extracting words in SIBI.
Comparative Study of Pre-Trained CNN Models for Multiclass Fault Detection in Solar Panels
Published in the Bulletin of Electrical Engineering and Informatics, 15(4), 3398–3407 (2026), this research compares various CNN architectures for detecting multiple types of faults in solar panels.
Redundancy and Complementarity Between Prosody...
Submitted manuscript, available on SSRN. Analyzes how vocal prosody and facial cues interact in emotional speech using the RAVDESS dataset to inform multimodal emotion recognition.
Multimodal Ensemble Learning... Breast Cancer
Submitted to the Egyptian Informatics Journal — this biomedical AI research proposes a multimodal ensemble model integrating imaging and molecular data to predict immunohistochemical profiles, prognosis, and therapeutic targets for breast cancer patients.
Interested in collaborating?
Let's discuss how we can work together to solve complex problems with data science and AI.
Start a Conversation