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      "abstract": "Penggunaan media sosial seperti Platform X telah menjadi ruang bagi \r\nmasyarakat, khususnya generasi muda, dalam mengekspresikan kondisi psikologis\r\ndan masalah kesehatan mental. Namun, karakteristik teks pada media sosial yang\r\ninformal dan tidak terstruktur menjadi tantangan tersendiri dalam melakukan\r\npemrosesan dan klasifikasi opini secara otomatis. Oleh karena itu, penelitian ini\r\nbertujuan untuk menganalisis opini terkait kesehatan mental dan mengevaluasi\r\npengaruh variasi hyperparameter terhadap performa model IndoBERT dalam\r\nmelakukan klasifikasi. Penelitian ini menggunakan data dari Platform X berupa\r\n1.000 data teks berbahasa Indonesia yang telah disaring dan diklasifikasikan ke\r\ndalam dua kelas utama, yaitu opini positif dan opini negatif. Pengolahan data teks\r\nmelalui tahap preprocessing seperti pembersihan dan normalisasi teks, dengan\r\nmempertahankan stopword serta tanpa proses stemming agar konteks kalimat tetap\r\nterjaga. Analisis dilakukan menggunakan algoritma IndoBERT melalui pendekatan\r\nfine-tuning dan eksperimen grid search pada variasi hyperparameter, yaitu\r\npenyesuaian learning rate dan jenis optimizer (Adam dan AdamW). Hasil\r\npengujian menunjukkan bahwa eksperimen hyperparameter memberikan pengaruh\r\nsignifikan terhadap kinerja model. Konfigurasi paling optimal berhasil diperoleh\r\nmenggunakan kombinasi learning rate 1e-05 dan optimizer Adam, yang mampu\r\nmencapai tingkat akurasi sebesar 88,10%, F1-score (macro) 87,22%, dan precision\r\n(macro) 86,45%. Penelitian ini membuktikan bahwa pendekatan fine-tuning\r\nIndoBERT dengan pengaturan hyperparameter yang tepat mampu menghasilkan\r\nmodel klasifikasi yang konsisten dan akurat, sehingga berpotensi untuk\r\ndimanfaatkan sebagai sistem pemantauan kecenderungan opini kesehatan mental di\r\nruang digital.",
      "contributors": [
        {
          "name": {
            "family": "Agastya",
            "given": "I Made Artha",
            "honourific": null,
            "lineage": null
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      ],
      "corp_creators": [
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      "subjects": [
        "000.000.000A"
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      "department": "Fakultas Ilmu Komputer",
      "eprintid": 33077,
      "ispublished": "pub",
      "date": "2026-04-20",
      "full_text_status": "restricted",
      "eprint_status": "archive",
      "title": "PREDIKSI KESEHATAN MENTAL BERDASARKAN DATA \r\nPLATFROM X MENGGUNAKAN MODEL INDOBERT \r\nDENGAN EKSPERIMEN VARIASI HYPERPARAMETER",
      "thesis_name": "skripsi",
      "type": "thesis",
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      "thesis_type": "bachelor",
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      "divisions": [
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      "keywords": "IndoBERT, kesehatan mental, klasifikasi opini, media sosial, variasi\r\nhyperparameter, mental health, opinion classification, social media,\r\nhyperparameter variation.",
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