classRizkyAnanda:
def__init__(self):
self.role="Informatics Engineering Graduate | Software Development & Data Science | Exploring ERP"self.education="S.Kom — Informatics, Universitas Nusantara PGRI Kediri (CGPA 3.90/4.00)"self.experience= ["Python Development", "Machine Learning", "Decision Support Systems", "ERP Systems (Odoo)"]
self.currently="Open to opportunities in software development & IT consulting"defsay_hi(self):
return"Let's build something great together!"Bachelor thesis project — classifies health-related claims as myth/fact and serves results via a Telegram chatbot.
| Deep learning diagnostic support system for heart disease risk, using TabNet with attention-based feature selection.
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Interactive app comparing SVM, Logistic Regression, and Perceptron across 3 Kaggle datasets with Grid Search tuning.
| Decision support system using AHP & MCDM methods for evaluating medical practice licenses.
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Hybrid expert system (Forward + Backward Chaining, Certainty Factor) for preliminary sleep disorder risk diagnosis.
| Classifies cat vocalizations into 14 emotional states (SVM + in-memory augmentation, 92.94% accuracy).
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- Health Myth/Fact Classification — Random Forest · Prosiding SEMNAS INOTEK, 2026
- Cat Emotion Classification — SVM · Prosiding STAINS, 2026
- Infographic Skills Training (KKN) — Community Service Study · Prosiding NCCE, 2026
