INTEGRATING AI MEDIA IN ARABIC TRANSLATION FOR HIGHER EDUCATION IN INDONESIA

Abstract This study examines the integration of AI media, specifically ChatGPT, in Arabic translation within higher education in Indonesia. Recognizing Arabic's importance in religious, cultural, and academic contexts, the research evaluates the impact of AI media on translation quality, focusing on linguistic precision, semantic fidelity, grammatical accuracy, and contextual relevance. A quasi-experimental design involved 50 participants divided into control and experimental groups using traditional and AI-supported translation methods, respectively. Pre- and post-test results showed significant improvements in the experimental group across all translation indicators. Statistical analysis using Pearson's Product Moment Correlation Coefficient revealed a strong positive correlation (0.91) between AI media use and translation quality. Despite challenges such as prompt specificity and Arabic’s linguistic complexities, the findings highlight AI media’s potential to enhance translation accuracy and engage students in learning. Policy recommendations include establishing guidelines and training programs to ensure ethical, secure, and effective AI integration into language education.