Skripsi
ANALISIS EVALUASI TINGKAT LITERASI KEAMANAN CYBER PENGGUNAAN MEDIA SOSIAL (STUDI KASUS SISWA SMK BUKIT ASAM)
This study aims to analyze the level of cyber security literacy among students of SMK Bukit Asam and classify it using the Random Forest algorithm. The research employed a quantitative approach using a questionnaire consisting of four main indicators: knowledge, attitude, behavior, and overall cyber security literacy. A total of 192 students participated as respondents in this study. The results show that most students fall into the high cyber security literacy category at 53.13%, followed by the medium category at 35.94%, and the low category at 10.94%. The highest average score was found in the attitude indicator (3.63), followed by knowledge (3.62), behavior (3.36), and cyber security literacy (2.99). The Random Forest model achieved an accuracy rate of 97.44%, with SI2 and SI4 identified as the most influential features. Based on these findings, it can be concluded that the students have a good level of cyber security literacy; however, improvements are still needed in behavioral aspects and the application of digital security in daily activities. Keywords: Cyber Security Literacy, Random Forest, Classification.
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