Pendekatan Big Data dalam Mendeteksi Deviasi Perilaku Seksual Remaja pada Platform Media Sosial
Keywords:
Big Data, Deviasi Seksual, Remaja, Media Sosial, Deteksi Dini, NLP, Text Mining, Machine LearningAbstract
Fenomena deviasi perilaku seksual di kalangan remaja semakin marak terjadi dan kerap diekspresikan melalui platform media sosial. Hal ini menimbulkan kekhawatiran dalam konteks kesehatan mental, moral, serta sosial. Penelitian ini bertujuan untuk mengkaji bagaimana pendekatan big data dapat digunakan untuk mendeteksi indikasi penyimpangan perilaku seksual remaja secara dini melalui analisis terhadap percakapan, unggahan, dan interaksi publik di media sosial. Dengan memanfaatkan teknik text mining, natural language processing (NLP), serta machine learning, data dalam skala besar dari media sosial dianalisis untuk mengidentifikasi pola, frekuensi kata kunci, dan sentimen yang berhubungan dengan perilaku seksual menyimpang. Hasil awal menunjukkan bahwa algoritma pembelajaran mesin mampu mengklasifikasikan data dengan akurasi tinggi dalam mendeteksi tanda-tanda deviasi, serta dapat menjadi alat bantu strategis dalam pencegahan dan edukasi perilaku sehat di kalangan remaja. Studi ini memberikan kontribusi terhadap pengembangan sistem deteksi dini berbasis teknologi serta sebagai landasan intervensi kebijakan yang lebih efektif di ranah pendidikan dan kesehatan masyarakat.
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