Hoax Detection For Everyone
Submission Rework with Different Approach of Big Data Challenge on Satria Data 2020 held by Institut Pertanian Bogor
Combat misinformation and fake news by accurately predicting the truth of the article to prevent the spread of harmful information that could lead to confusion, panic, or societal harm.
Anti-Hoax application based on LLM integrated with OCR and notification. This app was contested on OPSI 2025, Made by Danish Fattah Azizi and Mochamad Rafel Saputra
Aplikasi front-end deteksi berita hoax untuk project machine learning
A web-based hoax detection system with text prediction, information filtering, and a lightweight AI module.
Hoax News Detection Using Machine Learning And Flask Freamwork
LSTM + GloVe for Indonesian political hoax classification — reproduction of a published JEPIN paper (SINTA 2). Archived as-published; see README for a known embedding-language issue found in post-publication review.
Final Project | Kelompok Wakey-Wakey | Hoax News Detection Using Machine Learning And Flask Freamwo
Sistem deteksi & verifikasi awal berita hoaks — menganalisis pola bahasa, sensasionalisme, dan reputasi sumber secara transparan
Health news is the most sought-after information and is in demand during a pandemic, the need for health tips for the public makes health news at the top of most popular news. When the public's interest in reading news increases, many parties are not responsible for taking advantage of this chance by created and spreading hoax news. It may leads…
Code and data for "Comparative Analysis of Four Machine Learning Classifiers for Indonesian Hoax News Detection" — RF, SVM, NB, XGBoost on MAFINDO/TurnBackHoax dataset (best: 98.66% accuracy).
Corrected re-implementation of a published LSTM hoax classifier: FastText Indonesia (subword-aware) + PyTorch, replacing English GloVe. Fixes SMOTE-before-split leakage and padding-length shortcuts found in the original. Includes full before/after comparison.
this repository is the results of final project research to complete my education at Telkom University
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