Utilization of AI in Science Learning for Halal Authentication Literacy in Higher Education
Keywords:
Artificial Intelligence, Halal Authentication, Science Literacy, Higher Education, CNNAbstract
The increasing need for halal science literacy in the digital era demands the integration of artificial intelligence (AI) in higher education. This study aims to develop and test the effectiveness of an AI-based learning module to improve students' understanding of halal authentication. The study used a quasi-experimental design with a one-group pretest-posttest approach on 30 prospective science educator students in the Information Technology Study Program, Nahdlatul Ulama Institute of Technology and Science, Lampung. The AI for Halal Literacy module utilizes a Convolutional Neural Network (CNN) algorithm to detect halal labels on food products as a learning simulation. This study covers the concept of halal science, the basics of AI, and the practice of halal label detection. The analysis results showed a significant increase in students' science literacy scores from 52.16 to 83.23 (p < 0.001). while the CNN model achieved 90% accuracy with a precision of 0.90, a recall of 0.90, and an F1-score of 0.90. AI integration has proven effective in strengthening students' conceptual understanding, analytical skills, and digital literacy and is being developed to support technology-based halal education transformation.References
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