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OrbsVerse/README.md


👋 About Me

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!"

🧠 Featured Projects

🩺 Health Misinformation Detector

Bachelor thesis project — classifies health-related claims as myth/fact and serves results via a Telegram chatbot.

  • Model: SVM · up to 97.5% accuracy
  • Stack: Python, Scikit-learn, Telegram Bot API
  • 📄 Presented at SEMNAS INOTEK (Random Forest variant)

❤️ Heart Disease Diagnosis

Deep learning diagnostic support system for heart disease risk, using TabNet with attention-based feature selection.

📊 Multi-Algorithm Classifier Comparison

Interactive app comparing SVM, Logistic Regression, and Perceptron across 3 Kaggle datasets with Grid Search tuning.

🩻 AHP Doctor License Evaluation

Decision support system using AHP & MCDM methods for evaluating medical practice licenses.

😴 Sleep Disorder Expert System

Hybrid expert system (Forward + Backward Chaining, Certainty Factor) for preliminary sleep disorder risk diagnosis.

🐱 Cat Emotion Classification

Classifies cat vocalizations into 14 emotional states (SVM + in-memory augmentation, 92.94% accuracy).


🛠️ Tech Stack

PythonPyTorchscikit-learnStreamlitMySQLOdooPandasNumPyJupyter


📚 Published Research

  • 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

📈 GitHub Stats


📫 Let's Connect

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