Article Per Year (5 Year)
p-Index From 2021 - 2026
2.293
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) JPMS (Jurnal Pendidikan Matematika dan Sains) JOIV : International Journal on Informatics Visualization Indonesian Journal of Science and Mathematics Education JOURNAL OF APPLIED INFORMATICS AND COMPUTING Aptisi Transactions on Technopreneurship (ATT) Jurnal Ilmiah Wahana Pendidikan INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS JURNAL MUARA PENDIDIKAN Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Journal of Innovative Physics Teaching (JIPT) Scientificum
fadillah, Muhammad Aizri
Unknown Affiliation
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
Publication Trends and Hot Topics in Ethnoscience Research: A Bibliometric Study Fadillah, Muhammad Aizri; Usmeldi, Usmeldi; Lufri, Lufri; Mawardi, Mawardi; Festiyed, Festiyed
Jurnal Ilmiah Wahana Pendidikan Vol 11 No 8.A (2025): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Ethnoscience, which integrates traditional knowledge with scientific approaches, is increasingly attracting attention in the academic community as a culture-based solution to various global challenges. This study aims to analyze publication trends and research topics in ethnoscience over the past decade (2014-2024) using a bibliometric approach. A total of 84 articles indexed in Scopus were analyzed to evaluate trends in the number of publications, geographical distribution, as well as hot topics based on keyword co-occurrence analysis. The results showed a significant increase in the number of publications and citations, with the largest spike in the 2019-2024 period. Indonesia became the country with the largest contribution (more than 50% of publications), followed by Brazil and the United States, which focused on exploring local traditions and interdisciplinary approaches, respectively. The topic analysis identified two main themes: critical thinking and problem-solving as the most recent focus and scientific literacy and context-based learning as the most cited themes. These findings suggest that ethnoscience is increasingly relevant in global research, especially in supporting culture-based education, sustainability and local innovation to face global challenges. This study recommends strengthening international collaborations and further exploration of the integration of ethnoscience with technology and environmental sustainability.
MANAJEMEN MEDIA PEMBELAJARAN DALAM PENDIDIKAN IPA: HUBUNGAN ANTARA PREFERENSI SISWA DENGAN KOMPETENSI DAN MOTIVASI BELAJAR Fadillah, Muhammad Aizri; Festiyed; Usmeldi; Lufri; Mawardi; Tanjung, Yul Ifda
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 6 No. 1 (2025): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jipti.v6i1.2756

Abstract

The use of learning media in science education is increasingly important to improve students' learning competence and motivation, yet there is still a gap in the understanding of the effectiveness of strategic media management. This study aims to explore the role of learning media management in improving students' competencies as well as understanding the influence of students' preferences for learning media on their learning motivation. This study used a quantitative design with a survey method. The sample consisted of 54 junior high school students in North Sumatra Province who were selected using the convenience sampling method. Data were collected through an online survey covering four main constructs: teachers' learning media management strategies, students' science competencies, students' preferences for learning media, and students' learning motivation. Data analysis was conducted using SmartPLS (V.4) software to test the validity and reliability of the research instruments and SPSS (V.26) to analyze the relationship between variables through multiple regression analysis (univariate; ENTER model). The results showed that effective management of learning media, especially in visualizing complex concepts, had a significant influence on improving the procedural aspects of students' competence, although the influence on conceptual understanding was still limited. In addition, students' preference for relevant, engaging, and contextualized media was shown to positively influence their motivation, especially in the aspects of active engagement and learning comfort. These findings highlight the importance of interactive and strategic media design and the need for teacher training in maximizing the use of learning media. The implications of this study include the development of educational policies that support the integration of student preference-based learning media and the increase of teachers' capacity to manage media effectively to improve student learning outcomes.
ChatGPT in Science Education: A Visualization Analysis of Trends and Future Directions Festiyed, -; Tanjung, Yul Ifda; Fadillah, Muhammad Aizri
JOIV : International Journal on Informatics Visualization Vol 8, No 3-2 (2024): IT for Global Goals: Building a Sustainable Tomorrow
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3-2.2987

Abstract

ChatGPT, as one of the products of artificial intelligence (AI)-based technology, has shown significant potential in science education. This study aims to analyze the development trends and focal points of ChatGPT research, especially in science education from the Scopus database in 2022-2024. This study used Bibliometric analysis which is a quantitative and qualitative evaluation technique of documents in a database. The search method was carried out with the Dimensions and Publish or Perish (PoP) databases using Scopus and data visualization using VOSviewer. Searches were conducted on article titles, abstracts, and keywords at once (TITLE-ABS-KEY) with the keywords "ChatGPT" and "science education". The results of the bibliometric analysis showed a significant increase in the number of ChatGPT-related publications in the field of science education, with several key topics taking center stage, such as pedagogical adaptation, AI-based learning, and evaluation of technology effectiveness in the teaching and learning process. Visual analysis using VOSviewer identified a clustering of research covering the integration of ChatGPT in the science education curriculum, the role of AI in facilitating collaborative learning, and the impact of using ChatGPT on student motivation and learning outcomes. This suggests that the use of AI, particularly ChatGPT, in science education is a growing area of research with significant potential impact. This research provides a comprehensive overview of recent developments in the use of ChatGPT in the field of science education and provides insights for future research.
Mapping Influence Clusters: A Network Analysis of TikTok Influencer Co-Followership Among University Students Mutanga, Murimo; Fadillah, Muhammad Aizri; Chani , Tarirai; Anuardi, Sindiy Fortuna
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.10340

Abstract

This study examines TikTok influencer co-followership patterns among university students through social network analysis to understand how shared influence functions within digital ecosystems. Using survey data from Indonesian university students who identified their top three most-followed TikTok influencers, we built a co-followership network comprising 266 unique influencers connected by 333 relationships. The research employed quantitative network analysis methods, such as centrality measures, community detection algorithms, and content categorisation, to map influence clusters and explore the network’s structural properties. Results reveal a fragmented network with a low density (0.0094) consisting of 49 connected components, indicating that student followership patterns form distinct thematic communities rather than a single, unified influence network. Centrality analysis identified key bridging influencers, with Tasya Farasya emerging as the most central figure, demonstrating broad appeal across multiple interest categories. Community detection uncovered clear clusters organised around lifestyle and entertainment content, comedy, food, educational material, and motivational themes. Content analysis revealed that travel and lifestyle influencers dominated the network (23.7%), followed by comedy and entertainment creators (16.9%), reflecting TikTok's dual role as both an entertainment platform and a lifestyle guide for university students. The findings show how algorithmic personalisation creates confined influence communities while some central figures act as bridges across different content domains. This research advances methodological approaches by pioneering network analysis methods for influencer co-followership, thereby enhancing the understanding of digital influence as a networked rather than individual phenomenon. The results provide valuable insights for marketing professionals aiming to understand network influence, educational institutions developing media literacy programmes, and platform designers creating algorithmic recommendation systems.
Culturally Responsive Teaching in Science Education and its Relationship with Technopreneurship Tanjung, Yul Ifda; Festiyed, Festiyed; Diliarosta, Skunda; Asrizal, Asrizal; Arsih, Fitri; Fadillah, Muhammad Aizri; Makrooni, Golaleh
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.563

Abstract

Culturally Responsive Teaching (CRT) has been widely recognized for its positive impact on teaching practices, yet its foundational concepts and relationship with students cultural backgrounds, diversity, and specific implementation in science education to foster technopreneurship remain underexplored. This study addresses this gap by systematically identifying and constructing the concept of CRT and its integration with technopreneurship in science education using the PRISMA systematic literature review method. Data were collected from reputable international and national journal articles published between 2018 and 2023. The findings reveal that CRT in science education serves as a framework for teaching that integrates students knowledge, experiences, cultural backgrounds, and environments with scientific methods while respecting individual diversity. Effective implementation requires teachers commitment and skills to create inclusive learning environments tailored to diverse student characteristics. Importantly, CRT inspires students to design technological innovations that address cultural challenges, thereby fostering entrepreneurial interest and capabilities. This study contributes novel insights into how CRT in science education bridges cultural understanding and technopreneurship development, offering a transformative approach to science teaching that aligns with global and local educational needs.
Co-Authors Akbar, Muhammad Fazlan Andriyani, Dwi Rika Anuardi, Sindiy Fortuna Asrizal Asrizal Chani , Tarirai Chatarina Umbul Wahyuni Fatni Mufit Festiyed Festiyed Festiyed, - Fitri Arsih Hirahmah, Atifah Jannati, Rindu Putri Jayawarsa, A.A. Ketut Lufri Lufri Makrooni, Golaleh Mawardi Mutanga, Murimo Puspita, Sindy Putri, Prima Isma Skunda Diliarosta Usmeldi Usmeldi Yul Ifda Tanjung, Yul Ifda