Deteksi Promosi Judi Online Di Komentar Youtube Menggunakan IndoBERT Fine-Tunning Dengan Pendekatan Focal Loss
https://doi.org/10.26594/teknologi.v16i1.6481
Abstract
Pesatnya perkembangan teknologi informasi menjadikan promosi lebih efektif, efisien dan memiliki jangkauan yang lebih luas. Salah satu strategi promosi yang diterapkan adalah dengan melakukan promosi melalui kolom komentar YouTube. Hal tersebut kemudian banyak disalahgunakan oleh pihak tertentu untuk mempromosikan konten ilegal, termasuk promosi judi online. Meskipun YouTube telah menerapkan algoritma deteksi spam dan pelanggaran kebijakan komunitas, banyak komentar promosi judi yang masih lolos dari sistem. Oleh karena itu, untuk membantu dalam mendukung pemberantasan judi online, penelitian ini mengembangkan model kecerdasan buatan yang mampu mengklasifikasi dan mendeteksi promosi judi online secara otomatis. Metode yang digunakan dalam penelitian ini dilakukan dengan pendekatan Natural Language Processing menggunakan fine-tunning model IndoBERT yang merupakan pretrained language model berbasis arsitektur BERT (Bidirectional Encoder Representations from Transformers) dan disesuaikan untuk Bahasa Indonesia. IndoBERT dilatih secara khusus menggunakan data dari Wikipedia Bahasa Indonesia, artikel berita dari Kompas, Tempo, dan Liputan6, serta korpus web Indonesia. Hasil evaluasi menunjukkan bahwa kombinasi IndoBERT dengan pendekatan Focal Loss mendapat akurasi 97%. Penelitian ini menunjukkan bahwa penggabungan model berbasis bahasa alami dengan pendekatan Focal Loss dapat memberikan hasil yang akurat dalam mendeteksi komentar promosi judi online.
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