Cybersecurity Awareness and AI-Generated Visual Manipulation Detection Ability Among University Students
Abstract
Penelitian ini mengkaji kesadaran keamanan siber dan kemampuan deteksi citra sintetis di antara 99 mahasiswa Program Studi Sistem Informasi dan Teknologi Pendidikan di Universitas Pendidikan Indonesia menggunakan desain asosiatif-komparatif kuantitatif. Instrumen yang digunakan meliputi kuesioner skala Likert 24 item dan tes deteksi visual 10 stimulus. Hasil menunjukkan kesadaran yang tinggi di semua dimensi (M = 4,05–4,64), namun akurasi deteksi hanya mencapai 67,0%. Tidak ditemukan hubungan yang signifikan antara dimensi kesadaran dan kemampuan deteksi, meskipun muncul korelasi negatif yang signifikan antara pemahaman konseptual dan perilaku protektif (rs = -0,206, p = 0,041). Uji Mann-Whitney U mengungkapkan perbedaan gender yang signifikan dalam kesadaran risiko (p = 0,027). Temuan ini menggambarkan gambaran antara kesadaran yang dilaporkan sendiri dan kemampuan deteksi aktual, yang menggarisbawahi perlunya pelatihan praktis berbasis simulasi di pendidikan tinggi.
Perkembangan pesat teknologi kecerdasan buatan telah meningkatkan penyebaran konten visual sintetis dan disinformasi berbasis deepfake di berbagai platform digital. Meskipun siswa menunjukkan kesadaran keamanan siber yang tinggi, kemampuan praktis mereka untuk mengidentifikasi gambar yang dimanipulasi masih tergolong moderat. Temuan ini menunjukkan bahwa pemahaman dan perilaku keamanan digital yang dilaporkan sendiri tidak secara otomatis diterjemahkan menjadi keterampilan deteksi yang akurat. Studi ini menekankan pentingnya memperkuat literasi digital praktis melalui pelatihan langsung, latihan analisis visual, dan pendidikan keamanan siber berbasis simulasi. Mengintegrasikan pendekatan ini ke dalam sistem pembelajaran pendidikan tinggi dapat meningkatkan kemampuan berpikir kritis siswa, keterampilan verifikasi digital, dan ketahanan terhadap disinformasi yang dihasilkan AI di lingkungan berani yang semakin kompleks.
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