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All Journal PROSIDING SEMINAR NASIONAL Mimbar PGSD Undiksha Visual Communication Design Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Jurnal Penelitian Pendidikan IPA (JPPIPA) JPF : JURNAL PENDIDIKAN FISIKA Kasuari: Physics Education Journal (KPEJ) Jurnal Review Pendidikan dan Pengajaran (JRPP) Science Education and Application Journal Klasikal: Journal of Education, Language Teaching and Science DEVOSI Proceeding Biology Education Conference Bosowa Journal of Education Embrio Pendidikan: Jurnal Pendidikan Dasar Indonesia Journal of Engineering and Education Technology (IJEET) Jurnal Medika: Medika
Ifa Safira
Department Of Science Education, Universitas Bosowa, Makassar
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Energy Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Science Education and Application Journal

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Deep Learning Model in Science Learning: Bibliometric Analysis Happy, Nurina; Tomi Apra Santosa; Siti Fatimah Hiola; Ifa Safira; Nur Latifah; Dewanto; Muh. Safar; Aat Ruchiat Nungraha
Science Education and Application Journal Vol 7 No 1 (2025): Science Education and Application Journal
Publisher : Program Studi Pendidikan IPA, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/seaj.v7i1.1160

Abstract

The deep learning model is one of the learning models that can be applied in science learning. Research related to deep learning has grown very rapidly in recent years. Research on deep learning models has produced many theoretical and empirical findings. Many trends have emerged to highlight the complexity and dynamics of deep learning models in science learning.  This study aims to discover the latest trends in deep learning model research in science learning. This study uses a bibliometric approach of analysis based on the Google Scholar database. Based on this study's title, abstract, and keywords, it produced 872 studies from 2015-2024. The results of this study show that the deep learning model in this learning has increased significantly in 2022. The increase in research on deep learning models shows the importance of applying deep learning models in learning.
Co-Authors AA Sudharmawan, AA Aat Ruchiat Nugraha Aat Ruchiat Nungraha Abdillah SAS Abdul Wahid Abdul Wahid Abdurrachman Rahim Abul Walid Ago, Muh. Syahrul Agustinus Jarak Patandean Ahmad Suryadi, Ahmad Ahmad Swandi Ahmad Zain Sarnoto Ahmad, Muhammad Arifin Aminuyati Angelin Wardiarini Suwito Aras, Jusrianti Arwien, Rizki Trisnawaty Asdar Asdar Asdar Asham Bin Jamaluddin Burhan Burhan Burhan Burhan, Burhan Dangon, Reni DEWANTO Dewanto Dewanto Edy Wardoyo Elka, Fri Fitriani Fitriani Gabriel Dammen Gerianus, Gerianus Hamid, Sundari Hamsiah, Andi Henny Sanulita Herdakospian, Herdakospian Hiola, Siti Fatmah Irwandi, Andi Jainuddin, Jainuddin Jamaluddin Jamaluddin Lahlau, Keren Limbong, Wanti Liku Lydia Maria Kusnadi Magfirah, Nursakina Mardiana Suyuti Mardiati Mardiati Masni Masni Muh. Safar Muhammad Arsyad Muhammad Yunus Nahria Nahria, Nahria Nerti, Nerti Nur Hidayati Nur Latifah Nur Latifah, Nur Nuraeni Nurhayati Nurhayati Nurhayati Nurhayati Nurina Happy Pratiwi, Andi Citra Pricilia Indah Palangi Rahmadhanningsih, Sri Rizal, A Safar, Muh Sahib, Nurfaizah Sahrul Sahrul Santosa, Tomi Apra Sari, Windy Dian SATRIA Siti Fatimah Hiola Solissa, Everhard Markiano Soraya, Dewi Sri Devi, Retno Sri Rahmadhanningsih Sukini, Sukini Syam, Husain Syuaib, Nur Khatifah Syurawahyuni, Syurawahyuni Tismi Dipalaya, Tismi Tomi Apra Santosa Ua', Bakti Unpris Yastanti Unpris Yastanti, Unpris Wantu, Hasyim Mahmud