Model Bahasa Besar untuk Umpan Balik Otomatis Tugas Pemrograman
Keywords:
LLM, pendidikan informatikaAbstract
This study examines umpan balik otomatis berbasis LLM through surveys, in-depth interviews and document analysis. Findings show that institutional factors and local capacity strongly shape outcomes. (Sample abstract.)
References
Pratama, N. (2023). Kajian tentang umpan balik otomatis berbasis LLM: konteks dan tantangan. Jurnal Ilmu Contoh, 10(2), 101–118.
Larasati, A., & Prakoso, D. (2024). Metode penelitian umpan. Penerbit Nusantara Contoh.
Prakoso, D. (2024). Kebijakan dan praktik umpan balik otomatis berbasis LLM di daerah. Prosiding Seminar Nasional Contoh, 45–58.
Pramesti, G. (2024). Umpan balik otomatis berbasis LLM: sebuah studi kasus. Jurnal Riset Terapan Contoh, 10(1), 12–29.
Badan Statistik Contoh. (2024). Statistik tahunan bidang umpan. Badan Statistik Contoh.
Pratama, N., Pramesti, G., & Larasati, A. (2024). Evaluasi program umpan balik otomatis berbasis LLM. Jurnal Kebijakan Contoh, 10(3), 201–219.
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Copyright (c) 2026 Para penulis
This work is licensed under a Creative Commons Attribution 4.0 International License.
Manuscript history
- Received
- 2025-10-21
- Accepted
- 2026-02-07
- Published
- 2026-03-27