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All Journal SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT JPLED
Nufus, Ayatun
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Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Other

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Analisis Bibliometrik Global Pemanfaatan Artificial Intelligence Dalam Penelitian Resistensi Antimikroba Periode 2015–2025 Nurrahma, Alfiya Hana; Kusuma, Ikhwan Yuda; Ramadhani, Nadia; Nufus, Ayatun; Saputri, Abelia; Haryanti, Sri; Putri, Renanda Nabila
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1358

Abstract

Antimicrobial resistance (AMR) is a growing global health threat. Artificial Intelligence (AI) offers innovative approaches to the detection, prediction, and management of resistance through advanced data analysis. This study aims to map the research landscape of AI utilisation in AMR for the period 2015–2025 through bibliometric analysis. A search on PubMed (4 September 2025) yielded 2,078 documents (1996–2025), and after applying year restrictions, 2,009 articles were analysed. The total output of countries reached 11,943 publications, with China (5,570), the United States (2,896), and India (755) as the main contributors. Four thematic clusters were identified: machine learning, bacterial resistance, deep learning, and antimicrobial stewardship. The results showed a sharp increase in publications until 2025, with the journals Antibiotics, Frontiers in Microbiology, and Scientific Reports dominating. The study confirmed the important role of AI in supporting resistance detection and precision medicine, but challenges such as data limitations, algorithmic bias, and global research inequality still require attention.
Teachers' Experiences in Using Digital Media to Enhance Elementary Students' Learning Enthusiasm Nufus, Ayatun; Haifaturrahmah; Muhammad Nizaar
Journal of Practice Learning and Educational Development Vol. 6 No. 1 (2026): Journal of Practice Learning and Educational Development (JPLED) in Press
Publisher : Global Action and Education for Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58737/jpled.v6i1.954

Abstract

This study aims to describe teachers’ experiences in using digital media to enhance elementary students’ learning enthusiasm. A descriptive qualitative approach was applied with data collected through in-depth interviews, direct observations, and documentation. Informants were selected purposively, focusing on teachers who have direct experience in integrating digital media in the classroom. Data were analyzed using Miles and Huberman’s model, including data reduction, data display, and conclusion drawing. The findings reveal that digital media such as videos, interactive animations, and educational applications effectively attract students’ attention, increase active participation, and strengthen conceptual understanding. However, challenges such as limited facilities, unstable internet access, and varying levels of teachers’ technological competence remain obstacles. Teachers’ creativity and pedagogical reflection are key factors in the successful integration of technology. This research emphasizes the importance of enhancing teachers’ digital competence to create innovative, engaging, and adaptive learning in the digital era.
Co-Authors Haifaturrahmah, Haifaturrahmah Ikhwan Yuda Kusuma Muhammad Nizaar Nadia Ramadhani Nurrahma, Alfiya Hana Putri, Renanda Nabila Saputri, Abelia Sri Haryanti