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All Journal Jurnal Penelitian dan Evaluasi Pendidikan AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Elemen Jurnal Penelitian Pendidikan IPA (JPPIPA) Pendas : Jurnah Ilmiah Pendidikan Dasar Ciencias : Jurnal Penelitian dan Pengembangan Pendidikan Jurnal Cendekia : Jurnal Pendidikan Matematika Perspektif Pendidikan dan Keguruan JPMI (Jurnal Pembelajaran Matematika Inovatif) GANDRUNG: Jurnal Pengabdian Kepada Masyarakat ELTR Journal Journal of Research and Educational Research Evaluation Mathematics Research and Education Journal Indo-MathEdu Intellectuals Journal COMPETITIVE: Journal of Education Innovative: Journal Of Social Science Research HISTORICAL: Journal of History and Social Sciences DIROSAT: Journal of Education, Social Sciences & Humanities Elementaria: Journal of Educational Research BERBAKTI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan MIPA Indonesian Journal on Learning and Advanced Education (IJOLAE)
Zafrullah, Zafrullah
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Research Trends on the Use of Artificial Intelligence in Educational Environments in Southeast Asia on Scopus Database: A Bibliometric Analysis (2014-2024) Zafrullah, Zafrullah; Sembiring, Yanti Kumala; Ramadana, Nurfitri; Gunawan, Resky Nuralisa; Kusumawardhani, Khintan
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.15810

Abstract

This study aims to look at research trends in the Scopus Database regarding the use of AI in educational settings in Southeast Asia. By using keywords that have been determined and selected by the PRISMA method, researchers get 118 documents that are analyzed with the R Program and VOSviewer. From the analysis, it can be concluded that research on AI in Education in Southeast Asia in the Scopus database started from 2014 to 2024, with the peak contribution occurring in the last year. Singapore is the most productive country, followed by Nanyang Technological University (NTU) as the leading affiliate in publications in this field. The most prolific source came from the journal Sustainability (Switzerland), while Sayed Fayaz Ahmad from Pakistan was noted as the author with the most contributions and highest h-index. Paranjape et al. (2019) is the study with the highest citations. There are seven clusters formed, with keywords such as “Computer Aided Instruction”, “Chatbot”, “ChatGPT”, “Assessment”, and “Generative Artificial Intelligence” being recommendations for further research in the field of AI in education in Southeast Asia.
Training on Using the Adobe Animate Application in Designing Learning Media for Junior High School Teacher Wahyuni, Astri; Zafrullah, Zafrullah
GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2024): GANDRUNG: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Olahraga dan Kesehatan, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/gandrung.v5i2.3864

Abstract

The use of technology such as Adobe Animate has brought a lot of variety to education, increasing the way of delivering material that is more interactive and interesting for students. This provides significant benefits for many people in enhancing their learning experience. This service activity aims to provide training to teachers and simulations to students regarding Adobe Animate. The method of implementing this service involves lectures, practice and direct interaction with teachers and class VIII students at one of the State Middle Schools in West Bandung Regency. The training was carried out through demos, question and answer sessions, and simulations involving 5 class VIII students. The results of this service show that the teachers succeeded in understanding the concepts and techniques of using Adobe Animate in learning. Through the training and simulations carried out, they show progress in implementing this technology in daily learning activities. On the other hand, the simulation results also show positive changes in students, where they begin to show increased skills and confidence in following the learning process with Adobe Animate. This application not only provides benefits for teachers in delivering material interactively, but also provides a more interesting and effective learning experience for students.
URGENSI PEMETAAN KEMAMPUAN DAN HAMBATAN SISWA MENGGUNAKAN PRE TEST-POST TEST DALAM PROGRAM TAHFIDZ: STUDY KASUS DI SD MUHAMMADIYAH PURWODININGRATAN Subastia, Monica; Rahmi, Lailatul; Gunawan, Resky Nuralisa; Zafrullah, Zafrullah
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09 No. 04, Desember 2024.
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.19959

Abstract

This study aims to see how much urgency there is in using pre-test and post-test as a tool to map students' abilities and obstacles in the Tahfidz Program through a case study at SD Muhammadiyah Purwodingratan. Students' abilities and obstacles are important factors that need to be known so that the tahfidz program is implemented according to their abilities and produces good competencies for students without making it difficult for students. The pre-test and post-test instruments were compiled based on the results of observations of the implementation of the tahfidz program in class 1 of SD Muhammadiyah Purwodingratan. The results of the study indicate that mapping students' abilities and obstacles is important to do so that the policies and models used are not wrong and make it difficult for students. Pre-test and post-test are effective tools in mapping students' abilities and obstacles in the tahfidz program. With this mapping, schools can make policies and teachers know the right models and methods to use in the tahfidz program so that the achievement of the tahfidz program increases
Trends in the Use of Artificial Intelligence in Science Education: Bibliometric & Biblioshiny Analysis (1975-2024) Ayuni, Rizki Tika; Jaedun, Amat; Zafrullah, Zafrullah; Ramadhani, Atika Miftah
Jurnal Penelitian Pendidikan IPA Vol 10 No 10 (2024): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i10.7846

Abstract

This research was conducted to look at research trends in the Scopus database regarding the study of Artificial Intelligence in Science Education. Using the PRISMA method, researchers selected and determined 146 documents that were ready to be analyzed using bibliometric and biblioshiny methods with the help of the R program and Vosviewer. From the results of the analysis carried out, it was concluded that research on Artificial Intelligence in Science Education in the Scopus Database started from 1975 to 2024, with an 8-fold increase in the number of publications, and 13 times the number of citations in the last 7 years. China was the country with the highest contribution to this research, showing 17(11.64%) publications and 418(13.65%) citations. "BMC Medical Education" is the most productive source with an h-index of 4. Jose Carpio Cañada from Universidad de Huelva in Spain is the most productive author with an h-index of 2. Y. K. Dwivedi et al., (2021) with 1159(37.85%) citations is the source with highest citation. There are 58 keywords divided into 9 clusters, with the keywords "Digital Technologies", "ChatGPT", and "Systems Thinking" being the main recommendations in the field of artificial intelligence in science education
Trends Use of Technology Research for Early Childhood Education: A Bibliometric & Biblioshiny Analysis (1971-2024) Ramadhani, Atika Miftah; Setiawan, Risky; Gunawan, Resky Nuralisa; Zafrullah, Zafrullah; Ayuni, Rizki Tika
Jurnal Penelitian Pendidikan IPA Vol 10 No 11 (2024): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i11.8147

Abstract

This study aims to analyze research trends in the use of technology in early childhood education using the Scopus Database. Employing the PRISMA method, the author identified 172 final documents, analyzed through the R Program and VOSviewer. The analysis reveals that research in this area commenced in 1971, with a fivefold increase in publications over the past 20 years. The year 2020 marked the peak with an h-index of 7 and 11 publications (6.39%). Illinois State University emerged as the leading institution with 11 articles (6.39%). The United States is the most productive country, contributing 28 articles (16.28%) and 786 citations (26.85%). Susan Edwards from Australian Catholic University is the most prolific author, achieving an h-index of 5, 253 citations (8.64%), and 5 publications (2.90%). The International Journal of Technology and Design Education is the top source, with 292 citations (9.97%) and 11 publications (6.39%). The document by Blackwell et al. (2014) received the highest citations at 210 (9.02%). The study identified 54 keywords across 7 clusters, recommending "Digital Competence," "Self-directed learning," and "Participatory design" for future research in this field.
Instrumen Literasi Numerasi Berbasis Kemampuan Berpikir Komputasi pada Matematika SMP: Pembuktian Validitas Isi dengan Aiken’s. Zafrullah, Zafrullah; Gunawan, Resky Nuralisa; Ramadana, Nurfitri; Era Mutiara; Nur, Muhammad Imran
Indo-MathEdu Intellectuals Journal Vol. 5 No. 5 (2024): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v5i5.1962

Abstract

This research aims to prove the content validity of a numeracy literacy instrument based on computational thinking skills using Aiken's method. There are five questions divided into nine parts, all of which focus on the material “Algebraic Forms”, ​​and have been validated by five validators from two leading universities. The data analysis technique applied is the Aiken's method, which is used to assess the extent to which this instrument meets the validity criteria. The results of the analysis show that most of the questions in the instrument received good validity scores, with an average validity of 0.81. This score indicates that this instrument is relevant and effective for measuring students' abilities in numeracy literacy and computational thinking. Apart from that, input from validators regarding the use of simpler language for grade 8 students is very valuable and is expected to improve students' understanding of the questions given. It is hoped that these results can contribute to the development of higher quality educational evaluation instruments, as well as being the basis for further research involving instrument testing to prove construct validity and reliability in the context of mathematics learning
Interest of 11th Grade Students in Mathematics Learning Media Assisted by Microsoft PowerPoint Fitria, Rani Laylatul; Sudiarti, Mira; Suyanto, Slamet; Zafrullah, Zafrullah
Jurnal Cendekia : Jurnal Pendidikan Matematika Vol 8 No 2 (2024): Jurnal Cendekia: Jurnal Pendidikan Matematika Volume 8 Nomor 2 Tahun 2024
Publisher : Mathematics Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cendekia.v8i2.2477

Abstract

Learning media has an important role in providing new variations in learning, especially in learning mathematics. The purpose of this research is to describe students' interest in learning using Microsoft PowerPoint on statistics in grade 11. This research is a descriptive quantitative study with a sample of 24 students from SMK Migas Bumi Melayu, Riau, Indonesia. The research instrument used was a non-test instrument in the form of a learning interest questionnaire with 20 statements consisting of 5 aspects. The data analysis technique used is quantitative descriptive analysis. The final results show that the feeling of pleasure category is at 81.67%. For the category of interest in learning is at 81.46%. While in the category of attention to learning is at 79.79%. And for the category of involvement in learning is at 80.42%. Based on the results of the research that has been described per aspect, almost all categories of student learning interest in the questionnaire are classified as very good, so that learning media shows a positive response from students to student learning, with a percentage of 80.83% in the very good category.
Artificial Intelligence for Learning in Indonesia: Current Research Trends and School Implementation Anugrah Arya Bakti; Rashid, Salman; Zafrullah, Zafrullah; Nur Yusra binti Yacob; Abdulnassir Yassin; Mariano Dos Santos; James Leonard Mwakapemba
Elementaria: Journal of Educational Research Vol. 3 No. 2 (2025): Learning Policy Perspectives Research
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/elm.v3i2.103

Abstract

This study aims to analyze trends and developments in research on Artificial Intelligence for learning in Indonesia. The method used is bibliometric analysis with specific keywords that resulted in 120 research documents. Data analysis was conducted using the VOSviewer application to map keyword clusters and research novelty. The analysis concludes that research on Artificial Intelligence for Learning in Indonesia is divided into four main clusters representing different thematic focuses, including digital technology utilization, cognitive skill development, academic data governance, and instructional integration with performance analysis. The first cluster emphasizes the role of technology in enhancing user engagement, while the second cluster focuses on automation and the development of twenty-first century skills. The third cluster highlights the importance of data management and administrative efficiency, whereas the fourth cluster stresses technology integration in instructional processes and learning evaluation. Furthermore, the novelty analysis indicates that yellow-colored keywords such as “Elementary School”, “Local Wisdom”, and “Motivation” serve as indicators of recent research trends. These findings suggest a shift in research focus toward primary education contexts, the integration of local cultural values, and affective aspects in technology-based instruction.
Research Trends on the Implementation of Digital Literacy in Education: A Bibliometric Analysis of the Scopus Database Dwi Oktarina, Anisa; Syukrul Hamdi; Ariyadi Wijaya; Zafrullah, Zafrullah; Rashid, Salman
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 7, No. 3, September 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v7i3.11087

Abstract

This study examines publication trends and research developments in the field of digital literacy in education using bibliometric analysis. A total of 389 documents were retrieved from the Scopus database (2005 to mid-2025) using the keyword Digital Literacy and related educational terms. The PRISMA method was applied to ensure data validity and relevance. The analysis shows a significant increase in publications starting in 2013, peaking in 2023. Universitas Negeri Yogyakarta was identified as the most productive institution, while Indonesia led in publication volume (n=54), although its international collaboration rate remained low (12.85%). Authors from the United States and Indonesia contributed most frequently. The journal “Education and Information Technologies” was found to be the most productive. The most cited articles focused on informal learning, digital generations, and non-formal educational settings. Thematic evolution revealed conceptual deepening and the emergence of multidimensional approaches to digital literacy. Eight keyword clusters were identified, with new topics such as “Artificial Intelligence”, “Self-efficacy”, “Augmented Reality”, and “Inclusive Education” highlighting future research directions. These findings indicate that digital literacy in education now spans technical, pedagogical, affective, and social dimensions. However, this study is limited to the Scopus database and only includes data up to mid-2025. Future research is encouraged to explore digital literacy in specific educational settings such as vocational, out-of-school, and hybrid learning. Additional gaps include teacher competence in AI integration, challenges in inclusive digital learning, and the need for locally relevant digital literacy indicators.
Co-Authors Abdulnassir Yassin Amat Jaedun Anggraini Hardi, Vivin Annisa Fitriani Annisa Fitriani, Annisa Anugrah Arya Bakti Ariyadi Wijaya Arriza, Lovieanta Astri Wahyuni Atika Miftah Ramadhani Awliya, Dhia Ayuni, Rizki Tika Baehaqi Bambang Avip Priatna Martadiputra Bambang Avip Priatna Martadiputra cakrawala Brilliant Dwi Izzulhaq Djidu, Hasan Dwi Oktarina, Anisa Edy Supriyadi Emi Pujiastuti Endar Chrisdiyanto Era Mutiara Fini Rezy Enabela Novilanti Fitria, Rani Laylatul Ghany Desti Laksita Gunawan, Resky Nuralisa Ilham Muhammad James Leonard Mwakapemba Kusumawardhani, Khintan Lailatul Rahmi Mahmud, Muhammad Naim Majid, Mohamed Hasan Mohamed Mariano Dos Santos Meisya, Adinda Muhammad Fauzan Mutiara, Era Mwakapemba, James Leonard Mwakapemba, Morris Leonard Nabilah Nabilah Nakamo, Sosteness Jerome Nila Mareta Murdiyani Nuansa Trimaya Fadhilla Nur Yusra Binti Yacob Nur, Muhammad Imran Ramadana, Nurfitri Ramadhani, Atika Miftah Rashid, Salman Ratni Purwasih, Ratni Resty Aulia Rezi Ariawan Rina Safitri Rina Safitri Risky Setiawan Rizki Tika Ayuni Rosidah Rosidah Sa'adatul Ulwiyah Salman Rashid Sembiring, Yanti Kumala Seran, D'aquinaldo Stefanus Fani Siti Muflihah Nur Hidayah Siti Nurjanah Slamet Suyanto Suardi, Izzul Kiram Subastia, Monica Sudiarti, Mira Sugiman Sugiman Sukestiyarno, Yohannes Leonardus Sultan, Jumriani Syukrul Hamdi Uleng, Andi Tenri Usama Rasheed Weni Dwi Susanti Widihastuti Wulaningrum, Tyas Yaya S. Kusumah Zulfa Safina Ibrahim