{
      "department": "FAKULTAS SAINS DAN TEKNOLOGI",
      "subjects": [
        6.3
      ],
      "eprintid": 78783,
      "thesis_type": "masters",
      "date": "2026-08-12",
      "userid": 12460,
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            "uri": "http:\/\/digilib.uin-suka.ac.id\/id\/document\/1079728",
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      "creators": [
        {
          "name": {
            "lineage": null,
            "given": "NIM.: 24206051020",
            "honourific": null,
            "family": "Firda Maulida Prayetno"
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      ],
      "dir": "disk0\/00\/07\/87\/83",
      "keywords": "Credit Scoring, Logistic Regression, LightGBM, FT-Transformer, Uji Non-Parametrik, SHAP",
      "lastmod": "2026-10-07 02:15:10",
      "ispublished": "pub",
      "metadata_visibility": "show",
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      "eprint_status": "archive",
      "status_changed": "2026-10-07 02:15:10",
      "datestamp": "2026-10-07 02:15:10",
      "uri": "http:\/\/digilib.uin-suka.ac.id\/id\/eprint\/78783",
      "thesis_name": "other",
      "note": "Ir. Maria Ulfah Siregar, S.Kom., MIT., Ph.D.",
      "full_text_status": "restricted",
      "contact_email": "muh.khabib@uin-suka.ac.id",
      "divisions": [
        "S2_inf"
      ],
      "abstract": "Penelitian ini melakukan evaluasi komparatif antara Regresi Logistik, LightGBM, dan FT-Transformer dalam memprediksi risiko gagal bayar menggunakan dataset Give Me Some Credit (150.000 sampel) dengan tingkat ketidakseimbangan kelas ekstrem (1:13,96). Guna mengatasi bias data, teknik Synthetic Minority Over-sampling Technique (SMOTE) diterapkan secara lokal dalam skema 15-fold Stratified Cross-Validation, dengan optimasi hiperparameter berbasis framework Optuna. Hasil pengujian menunjukkan LightGBM mencapai performa superior dengan AUC-ROC akhir sebesar 0,8631, mengungguli FT-Transformer (0,8369) dan Regresi Logistik (0,7959). Validasi inferensial melalui Friedman Test (",
      "type": "thesis",
      "title": "EVALUASI KOMPARATIF LOGISTIC REGRESSION, LIGHTGBM, DAN FT-TRANSFORMER UNTUK PREDIKSI RISIKO KREDIT: VALIDASI BERBASIS UJI STATISTIK NON-PARAMETRIK DAN INTERPRETABILITAS SHAP",
      "institution": "UIN SUNAN KALIJAGA YOGYAKARTA",
      "pages": 131
    }