README.md

---
language: id
license: apache-2.0
tags:
- indobert
- text-classification
- plagiarism-detection
- indonesian
- fine-tuned
pipeline_tag: text-classification
widget:
- text: "Apa pengganti y?"
  example_title: "Contoh Plagiarisme"
- text: "Bagaimana cara belajar Python?"
  example_title: "Contoh Paraphrase"
---

# IndoBERT Plagiarisme Detector

Model **IndoBERT-base-p1** fine-tuned untuk **deteksi plagiarisme teks bahasa Indonesia** (3 kelas):

- `LABEL_0` → 🟢 Tidak Mirip
- `LABEL_1` → 🟡 Paraphrase
- `LABEL_2` → 🔴 Plagiarisme (literal/copy-paste)

**Input model**: Masukkan dua teks/kalimat (question1 dan question2), model akan prediksi kemiripannya.

### Performa
- Accuracy: **78.33%** (test set 300 data)
- Dataset: 3000 data balanced + augmentasi sintetik

### Cara Pakai di Python
```python
from transformers import pipeline

detector = pipeline("text-classification", model="putraharifin/tubes_deep_learning")
result = detector("Apa pengganti y?", "Apa pengganti y dong")
print(result)  # {'label': 'LABEL_2', 'score': 0.99}