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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar
Ramadhan, Laili
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EFEKTIVITAS SISTEM AI DALAM MEREDUKSI BEBAN ADMINISTRATIF PENDIDIK DAN MENINGKATKAN AKURASI EVALUASI PEMBELAJARAN: SYSTEMATIC LITERATURE REVIEW Ramadhan, Laili; Yanuarita Sutikno, Putri; Wijayati, Nanik; Avrilianda, Decky
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 Nomor 02, Juni 2026 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.50416

Abstract

Administrative overload constitutes an acute structural challenge faced by Indonesian elementary school (SD) teachers implementing the Merdeka Curriculum. This study analyzes the effectiveness of an AI-based system integrating QR Code technology, the Gemini generative AI model, and the Supabase cloud database as a holistic solution, employing a PRISMA-guided Systematic Literature Review (SLR) methodology. Of 312 identified articles, 25 high-quality studies were included following multi-stage screening. Synthesis reveals that: (1) integrated AI systems can reduce assessment administration duration by 60–80%; (2) QR Code technology eliminates student misidentification errors; and (3) generative AI achieves substantial inter-rater agreement (κ ≥ 0.61) for essay response evaluation. These findings underscore the urgency of integrating AI administrative systems specifically designed for Indonesian elementary school contexts to support Merdeka Curriculum implementation.
Co-Authors Decky Avrilianda Nanik Wijayati Yanuarita Sutikno, Putri