Analisis Bibliometrik Penerapan Deep Learning Dalam Teaching Factory: Tren Publikasi, Kolaborasi, dan Arah Riset 2020–2026
Analisis Bibliometrik Penerapan Deep Learning Dalam Teaching Factory: Tren Publikasi, Kolaborasi, dan Arah Riset 2020–2026
Abstrak
Penelitian ini bertujuan untuk memetakan perkembangan riset tentang deep learning dalam pembelajaran teaching factory melalui analisis bibliometrik dan visualisasi jejaring menggunakan VOSviewer. Data artikel diperoleh dari basis data Crossref melalui Publish or Perish dengan menggunakan kata kunci “deep learning” dan “teaching factory” pada judul dan abstrak artikel. Setelah proses seleksi, sebanyak 1.000 dokumen relevan yang diterbitkan pada periode 2020–2026 dianalisis. Hasil penelitian menunjukkan bahwa jumlah publikasi meningkat dari 69 artikel pada tahun 2020 menjadi 263 artikel pada tahun 2025, kemudian menurun menjadi 247 artikel pada tahun 2026, dengan total sitasi sebanyak 567. Analisis kata kunci menunjukkan bahwa tema dominan berkaitan dengan learning, student, model, implementation, dan teaching factory, sedangkan visualisasi jejaring menunjukkan bahwa hubungan antartopik masih terkonsentrasi pada beberapa klaster utama dan belum membentuk integrasi riset yang kuat. Temuan ini menunjukkan bahwa penelitian tentang deep learning dalam pembelajaran teaching factory masih berada pada fase pertumbuhan awal, tetapi memiliki potensi yang besar untuk dikembangkan melalui kolaborasi lintas disiplin, penguatan model pembelajaran berbasis AI, dan penerapan penelitian yang lebih kontekstual dalam pendidikan vokasi.
Unduhan
Referensi
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