Muhammad Adrian
Universitas Muhammadiyah Prof. Dr. Hamka

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Bibliometric Analysis with the Vosviewer-Based Keyword "Mathematical Abilities" Muhammad Adrian; Muntazimah Muntazimah
Proceedings Series on Social Sciences & Humanities Vol. 13 (2023): Proceedings of International Student Conference on Education (ISCE) 2023
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pssh.v13i.885

Abstract

Using VOSviewer can help students identify current journals or articles and spot gaps in current journals. This study also aims to identify mathematical articles that get the highest number of journals, make journal rankings, determine the country where they are published and make maps to find positions in international scientific journals and. using the Google Scholar database. This study used bibliometric analysis method. The population that was the subject of this study was 1000 articles found through data analysis using the Publish or Perish (PoP) tool between 2017 and 2022. The data is recorded in Microsoft Excel as input for data processing and storage in the RIS system. use the VOSviewer app to create visuals for popular publications. There was a significant increase in articles from 2017 to reach the highest number in 2019. In graph analysis using VOSviewer software, there are two topics related to bibliometric analysis, namely "Mathematics" and "Ability" that have not been studied. a lot of things and research. . new. These topics offer opportunities for further research.
KETERGANTUNGAN MAHASISWA TERHADAP PENGGUNAAN KECERDASAN BUATAN DALAM PENYELESAIAN TUGAS AKADEMIK DI ERA DIGITAL Egi Bayu Setiawan; Muhammad Adrian; Isa Faqihuddin Hanif
Jurnal Padamu Negeri Vol. 3 No. 1 (2026): Januari : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/swcm5x77

Abstract

The rapid development of artificial intelligence (AI) has significantly influenced higher education, particularly in supporting students’ academic activities. This study aims to analyze the level of student dependence on AI in completing academic assignments and its implications for critical and creative thinking skills. A quantitative descriptive approach was employed by distributing questionnaires to 20 undergraduate students from various universities and academic disciplines. The results indicate that AI is widely perceived as helpful and time-efficient; however, excessive reliance may reduce students’ independence in problem-solving and analytical thinking. These findings highlight the importance of balanced and responsible AI utilization to ensure that technological assistance does not hinder students’ intellectual development.