{"id":34501398,"url":"https://github.com/oenm176/hmeq-loan-analysis","last_synced_at":"2026-04-13T05:43:51.208Z","repository":{"id":329853224,"uuid":"1120802732","full_name":"Oenm176/hmeq-loan-analysis","owner":"Oenm176","description":"Menggali wawasan dari dataset Home Equity (HMEQ). 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Dataset ini berisi informasi dasar dan kinerja kredit dari 5.960 pinjaman ekuitas rumah.\n\n- **Sumber Dataset:** [Kaggle - HMEQ Data](https://www.kaggle.com/datasets/ajay1735/hmeq-data)\n- **Target Variabel:** `BAD` \n  - `1` = Nasabah gagal bayar (Macet/Default)\n  - `0` = Nasabah lancar (Lunas)\n- **Jumlah Fitur:** 13 Variabel (termasuk `LOAN`, `MORTDUE`, `VALUE`, `YOJ`, `DEROG`, dll).\n\n---\n\n## 📂 Struktur Proyek\nBerikut adalah alur pengerjaan yang terdapat dalam folder `notebooks/`:\n\n1. **`1_data_cleaning.ipynb`**\n   - Melakukan *Data Cleaning* (Pembersihan Data).\n   - Mengisi data kosong (*Imputasi*) dengan Mean/Modus.\n   - Mengubah data teks menjadi angka (*Encoding*).\n   \n2. **`2_data_normalization.ipynb`**\n   - Melakukan *Feature Selection* (Menghapus fitur redundan/kembar).\n   - Menganalisis *Feature Relevance* (Faktor yang paling berpengaruh).\n   - Melakukan *Normalisasi* data (Min-Max Scaling) agar rentang angka seragam (0-1).\n\n3. **`3_modeling_decision_tree.ipynb`**\n   - Membagi data menjadi *Training* (80%) dan *Testing* (20%).\n   - Melatih model algoritma **Decision Tree**.\n   - Mengevaluasi Akurasi dan Confusion Matrix.\n   - **Output Akhir:** Visualisasi Pohon Keputusan (`decision_tree_result.png`).\n\n---\n\n## 🛠️ Instalasi \u0026 Cara Menjalankan\n\n1. **Clone repository ini** (atau download folder proyek).\n2. **Install library yang dibutuhkan:**\n   Jalankan perintah berikut di terminal:\n   ```bash\n   pip install -r requirements.txt","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foenm176%2Fhmeq-loan-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foenm176%2Fhmeq-loan-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foenm176%2Fhmeq-loan-analysis/lists"}