Development of Interactive Learning Media for Enhancing Computer Hardware Understanding in Multimedia Vocational Programs

Fahmi Candra Permana, Sekar Nurul Fajriyah Aldriani, Feri Hidayatullah Firmansyah, Sisilia Sylviani

Abstract


The rapid advancements in technology have positively influenced teaching and learning, particularly through Artificial Intelligence (AI) and Machine Learning (ML), which have significantly transformed educational processes. This study aims to design an interactive web-based learning media to enhance student engagement and understanding of computer hardware in the Computer and Basic Network subject for Grade X students in the Multimedia expertise program at a vocational high school. Utilizing the Richey and Klein Level 1 Research and Development (R&D) model, the study followed three stages: planning, production, and evaluation. This research addresses common challenges in teaching basic competencies such as applying and assembling computers, where many students lack foundational hardware knowledge. The developed media was validated by experts, resulting in a media feasibility score of 98.75% and a content accuracy score of 96.43%. Recommendations included defining clear learning outcomes, updating hardware specifications, and integrating evaluation tools—all of which were implemented. The final product was rated highly feasible and effective for classroom use.


Keywords


interactive learning media; artificial intelligence; machine learning; vocational education

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DOI: https://doi.org/10.17509/edsence.v7i1.78630

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