ANALISIS BIBLIOMETRIC : STEM (SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS) BERBASIS TEKNOLOGI DIGITAL.

Ade, Septa Nanda (2025) ANALISIS BIBLIOMETRIC : STEM (SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS) BERBASIS TEKNOLOGI DIGITAL. Diploma thesis, UIN RADEN INTAN LAMPUNG.

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Abstract

ABSTRAK Penelitian ini bertujuan untuk mengidentifikasi tren riset terkait pendekatan STEM (Sains, Teknologi, Rekayasa, dan Matematika) berbasis teknologi digital dalam pembelajaran biologi yang terindeks di Google Scholar selama periode 2020–2025. Metode yang digunakan adalah analisis bibliometrik deskriptif kuantitatif dengan memanfaatkan perangkat lunak Publish or Perish (PoP) dan VOSviewer. Data dikumpulkan dari Google Scholar menggunakan kata kunci "STEM berbasis teknologi digital" dan diseleksi berdasarkan kriteria inklusi dan eksklusi yang ketat. Dari 997 artikel yang ditemukan, 985 artikel berhasil diidentifikasi, dan 270 artikel dinyatakan layak untuk dianalisis. Hasil penelitian menunjukkan tren peningkatan jumlah publikasi secara signifikan, dengan puncak tertinggi pada tahun 2024. Visualisasi bibliometrik melalui VOSviewer menghasilkan pemetaan dalam bentuk jaringan, overlay, dan densitas yang mengelompokkan topik menjadi empat klaster utama, seperti pembelajaran abad 21, literasi digital, pandemi COVID-19, dan pendekatan STEM. Topik-topik seperti “sains”, “biologi”, dan “pembelajaran biologi” memiliki tingkat keterkaitan tinggi, sedangkan topik seperti “kajian pustaka sistematis” dan “keterampilan berpikir kreatif” muncul sebagai tren baru. Visualisasi densitas juga menunjukkan bahwa istilah “sains”, “teknologi”, dan “matematika” merupakan topik yang paling sering digunakan, sementara 2 istilah seperti “pandemi” dan “meta-analisis” mulai jarang ditemukan. Studi ini memberikan gambaran menyeluruh mengenai perkembangan riset STEM berbasis teknologi digital dalam pendidikan biologi, serta membantu peneliti dan praktisi pendidikan untuk mengidentifikasi arah dan celah riset masa depan. Kata kunci : Bibliometrik, Google Scholar , Pembelajaran Biologi, STEM, Teknologi Digital, VOSviewer. ABSTRACT This study aims to identify research trends related to STEM (Science, Technology, Engineering, and Mathematics) approaches based on digital technology in biology education indexed in Google Scholar during the period 2020–2025. The method used is a quantitative descriptive bibliometric analysis utilizing Publish or Perish (PoP) software and VOSviewer. Data were collected from Google Scholar using the keyword "STEM based on digital technology" and selected based on strict inclusion and exclusion criteria. From 997 articles found, 985 were successfully identified, and 270 articles were deemed eligible for analysis. The results show a significant increase in the number of publications, with the highest peak in 2024. Bibliometric visualization through VOSviewer produced a network, overlay, and density map that clustered topics into four main clusters, such as 21st-century learning, digital literacy, COVID-19 pandemic, and STEM approaches. Topics such as "science," "biology," and "biology education" showed a high degree of interconnection, while topics like "systematic literature review" and "creative thinking skills" emerged as new trends. Density visualization also revealed that terms such as "science," "technology," and "mathematics" were the most frequently used, while terms like "pandemic" and "meta-analysis" started to appear less often. This study provides a comprehensive overview of the development of digital technology-based STEM research in biology education and helps researchers and educational practitioners identify future research directions and gaps. 3 Keywords: Bibliometrics, Google Scholar, Biology Learning, STEM, Digital Technology, VOSviewer.

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