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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) Jurnal Suluh Pendidikan 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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Research on Madrasas in International Publications: Bibliometric Analysis with Vosviewer Zafrullah, Zafrullah; Zulfa Safina Ibrahim; Rezi Ariawan; Sa'adatul Ulwiyah; Rizki Tika Ayuni
COMPETITIVE: Journal of Education Vol. 3 No. 2 (2024): Transformative Education and Learning
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/competitive.v3i2.93

Abstract

The large number of studies on madrasas on Scopus means that madrasas can be used as an option for researchers in conducting research. This research aims to look at the grouping and novelty of keywords using Vosviewer. This research used 323 documents that had been sorted according to keywords. From the results of the analysis, there are fourteen research groups based on keywords in madrasa research in the Scopus database, namely improving educational practices in madrasas, developing madrasa education in rural areas, preserving architectural heritage in madrasas, improving the Arabic language curriculum in Aliyah madrasas, Islamic pedagogy and practice. memorization, heritage preservation and restoration techniques, Islamic boarding school management, integration of character in online learning during the pandemic, madrasas and maktab religious education and national training, teacher performance and academic achievement, development of religious character, leadership in moral education, environmental learning in Muslim communities, as well as the study of Islamic history. Meanwhile, the novelty of keywords such as mausoleum, Islamic boarding schools, learners, character building, online learning, emotional intelligence, critical thinking skills, and learning outcomes indicates the novelty of the keywords so that these keywords can be used as research recommendations in research on madrasas in the Scopus database.
Trends in the Implementation of Algorithmic Thinking in Social Sciences Research in the Scopus Database: Bibliometric Analysis (1982-2024) Zafrullah, Zafrullah; Ghany Desti Laksita; Weni Dwi Susanti; Fini Rezy Enabela Novilanti; Resty Aulia; James Leonard Mwakapemba
HISTORICAL: Journal of History and Social Sciences Vol. 3 No. 4 (2024): History and Cultural Innovation
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/historical.v3i4.142

Abstract

This study aims to look at research trends with the topic of Algorithmic Thinking conducted using bibliometric analysis. By using predetermined keywords, 158 documents in the Scopus database were analyzed using R Program and VOSviewer. From the results of the analysis that has been carried out, it can be concluded that this study covers the period 1982 to 2024, which covers a span of 42 years. Korea University and National Taiwan Normal University based in Seoul and Taipei topped the list with the same number of publications at 8 publications. Chung-Yuan Hsu from Taiwan's National Pingtung University of Science and Technology tops the list with an h-index of 2, supported by a total of 63 citations and 3 publications. The journal “Educational and Information Technology”, ranked second with an h-index of 6, supported by a total of 274 citations and 13 publications. Grover et al. (2015) is the source with the highest citations, with 235 citations. There are 28 keywords grouped into four clusters, with the keywords Arduino, Computational Thinking Skills, Early Childhood, Mathematics, and Curriculum used as recommendations for further research related to Algorithmic Thinking.
MATHEMATICS LEARNING IN THE SOUTHEAST ASIA REGION ON THE SCOPUS DATABASE: BIBLIOMETRIC ANALYSIS (1993-2024) Gunawan, Resky Nuralisa; Mutiara, Era; Zafrullah, Zafrullah; Majid, Mohamed Hasan Mohamed; Nur, Muhammad Imran; Mwakapemba, James Leonard
Mathematics Research and Education Journal Vol. 8 No. 2 (2024): October
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/mrej.2024.vol8(2).19547

Abstract

This research aims to analyze research trends regarding mathematics learning in Southeast Asia on the Scopus Database. Using existing keywords, researchers selected using the PRISMA method and obtained 829 documents which were analyzed using VOSviewer and the R Program. From the results of the analysis, it can be concluded that research on mathematics learning in Southeast Asia began in 1993 and showed significant development until 2024, with a total of 829 documents published from 200 sources. Despite a decline in publications in 2013, the overall publication trend continues to show positive growth, especially after 2012. Indonesia occupies the top position in the number of publications and citations, followed by Malaysia, with Nanyang Technological University in Singapore being the leading institution. The various research focuses reflect efforts to improve the quality of mathematics learning in the region. Apart from that, the latest topics such as “online learning”, “ethnomathematics”, and “flipped classroom” are very relevant to be applied in facing educational challenges in the current digital era.
Pelatihan Penilaian Sikap dan Pengetahuan Berbasis Web untuk Guru Sekolah Dasar Supriyadi, Edy; Hamdi, Syukrul; Jaedun, Amat; Widihastuti, Widihastuti; Safitri, Rina; Wulaningrum, Tyas; Zafrullah, Zafrullah
BERBAKTI : Jurnal Pengabdian Kepada Masyarakat Vol 2 No 3 (2025): BERBAKTI: Jurnal Pengabdian Kepada Masyarakat | January 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30822/berbakti.v2i3.3924

Abstract

Guru Sekolah Dasar di Desa Guwo Sari, Pajangan, menghadapi kesulitan dalam membuat soal yang sesuai dengan kaidah penulisan yang benar, sehingga memengaruhi kualitas pembelajaran dan penilaian. Untuk mengatasi masalah ini, dirancang solusi berupa pelatihan dengan tema “Web-Based Attitude and Knowledge Assessment Training for Elementary School Teachers” yang dilaksanakan oleh Prodi S3 PEP SPs UNY. Kegiatan ini diikuti oleh 25 guru dan berlangsung di Gedung Disdikpora Kabupaten Bantul selama satu minggu, dari 10 Oktober hingga 17 Oktober 2024. Materi pelatihan mencakup kebijakan pendidikan, penyusunan instrumen penilaian sikap dan pengetahuan, serta praktik penggunaan teknologi berbasis web. Pelatihan ini berjalan lancar dan mendapatkan respon positif dari peserta, terlihat dari antusiasme guru, keberhasilan mereka menyelesaikan tugas dengan baik, serta tingginya nilai evaluasi yang diberikan. Selain itu, para peserta memberikan respon positif dan apresiasi tinggi terhadap pelatihan penyusunan penilaian ini dengan nilai yang diberikan dominan berada pada nilai 8-10. Selain meningkatkan pemahaman dan keterampilan guru, kegiatan ini memotivasi mereka untuk mengintegrasikan teknologi dalam sistem penilaian secara lebih efektif. Hasil dari kegiatan ini menunjukkan kontribusi nyata terhadap peningkatan kualitas pendidikan di wilayah Desa Guwo Sari, Pajangan.
Psychometric quality of multiple-choice tests under classical test theory (CTT): AnBuso, Iteman, and R Nurjanah, Siti; Iqbal, Muhammad; Zafrullah, Zafrullah; Mahmud, Muhammad Naim; Seran, D'aquinaldo Stefanus Fani; Suardi, Izzul Kiram; Arriza, Lovieanta
Jurnal Penelitian dan Evaluasi Pendidikan Vol. 28 No. 2 (2024)
Publisher : Graduate School, Universitas Negeri Yogyakarta in cooperation with Himpunan Evaluasi Pendidikan Indonesia (HEPI) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pep.v28i2.71542

Abstract

Psychometric quality analysis of psychological instruments was important to ensure credible measurement. This study aims to compare the psychometric quality analysis of multiple-choice test items using three different applications to evaluate the advantages and disadvantages of the features provided in supporting classical test theory analysis. This study used a quantitative approach by analysing dichotomous data from 50 participants of a 30-item multiple-choice test. The data were analysed using three applications (AnBuso, Iteman, and R) to compare the statistical output of the main psychometric parameters of the classical test theory, such as difficulty index, discrimination index, and distractor effectiveness. Data analysis was conducted descriptively and quantitatively by comparing the features provided by the application in support of classical test theory analysis to evaluate the advantages and disadvantages of each application. The study found that all three applications produced similar results for the difficulty index, distractor effectiveness, and discrimination index. AnBuso proved user-friendly but limited in capacity, Iteman offered comprehensive output with restricted free functionality, and R provided flexibility but required programming expertise. The application demonstrated unique strengths that are suitable for different research needs and user proficiencies. The choice of application should consider factors such as analysis complexity, sample size, and user expertise. Further research into paid options and diverse test conditions is recommended for a more comprehensive evaluation of these applications in classical test theory analysis.
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) RESEARCH TRENDS IN MATHEMATICS LEARNING Wahyuni, Astri; Kusumah, Yaya Sukjaya; Priatna Martadiputra, Bambang Avip; Purwasih, Ratni; Muhammad, Ilham; Zafrullah, Zafrullah
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 14, No 2 (2025)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v14i2.8461

Abstract

The emergence of ICT in teaching and learning has contributed to improving the quality of education, because teaching and learning is ultimately an active and interesting process linked to real-world situations. ICT can be integrated into all subjects outside of physical education, including language, comprehension, math, science, and environmental science. This research examines trends and identifies publications concerning ICT in Mathematics Learning by analyzing the most prolific document sources, rankings of institutions or universities, prominent journals and articles, as well as keyword usage. Utilizing data from the Dimensions database, a total of 390 documents were gathered through the Publish or Perish (PoP) application, consolidated into a single RIS file, and analyzed using the VOSviewer application to generate network and overlay visualizations.The findings reveal an increasing trend in publications on ICT in Mathematics Learning over the past five years, with Indonesia leading in the number of documents (66), "Guangxi Normal University" as the top institution, "Journal of Physics: Conference Series" as the most prominent journal, and the article by Lo et al. (2018) as a key reference. The keyword "ICT" is not commonly associated with other variables such as case studies or stems, presenting a gap that offers opportunities for future research in this area.Penggunaan Teknologi Informasi dan Komunikasi (TIK) dalam pembelajaran telah berperan dalam meningkatkan kualitas pendidikan, menjadikan proses pembelajaran lebih aktif, menarik, dan relevan dengan situasi dunia nyata. TIK dapat diintegrasikan ke dalam berbagai mata pelajaran, seperti bahasa, pemahaman, matematika, sains, dan ilmu lingkungan, kecuali pendidikan jasmani. Penelitian ini mengeksplorasi tren dan mengidentifikasi publikasi terkait TIK dalam Pembelajaran Matematika melalui analisis jumlah dokumen terbanyak, peringkat institusi atau universitas, jurnal, dokumen, serta penggunaan kata kunci berdasarkan data dari basis data Dimensions. Dengan menggunakan analisis bibliometrik, 390 dokumen dikumpulkan melalui aplikasi Publish or Perish (PoP), dikompilasi ke dalam satu file RIS, dan dianalisis menggunakan aplikasi VOSviewer untuk menghasilkan visualisasi jaringan dan hamparan. Temuan menunjukkan adanya tren peningkatan publikasi tentang TIK dalam Pembelajaran Matematika selama lima tahun terakhir, dengan Indonesia memimpin dalam jumlah dokumen (66), “Guangxi Normal University” sebagai institusi teratas, “Journal of Physics: Conference Series” sebagai jurnal yang paling menonjol, dan artikel oleh Lo dkk. (2018) sebagai referensi utama. Kata kunci “TIK” tidak umum dikaitkan dengan variabel lain seperti studi kasus atau batang tubuh, menghadirkan celah yang menawarkan peluang untuk penelitian di masa depan di bidang ini.
Mapping the Evolution of Research Themes on ChatGPT Integration in Education: Thematic and Novelty Keywords Nabilah, Nabilah; Zafrullah, Zafrullah; Nakamo, Sosteness Jerome; Mwakapemba, Morris Leonard
Elementaria: Journal of Educational Research Vol. 3 No. 1 (2025): Advancements in Educational Technology Research
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/elm.v3i1.90

Abstract

Abstract. This study aims to examine the evolution and novelty of keywords in the field of ChatGPT in Education using a bibliometric approach. By applying a predefined set of keywords, the researchers identified 310 publications from the Scopus database, which were then analyzed using R Program. The analysis focused on main information, publication trends, keyword evolution over time, and keywords novelty. This analysis concludes that research on ChatGPT in the field of education within the Scopus database began in 2022 and continued through 2025, with the highest surge in publications occurring in 2024, reaching 171 documents. Overall, the findings reveal that the topic of ChatGPT in Education has experienced significant growth, with several core keywords such as "chatgpt", "ai in education", and "artificial intelligence" remaining dominant over the years. Furthermore, the emergence of new keywords such as "efl learners", "contrastive learning", "online learning", "self-directed learning", "technology", "virtual reality", and "attitude" reflects an increasingly diverse research direction, encompassing technological innovations, learning strategies, and psychological dimensions. Keywords marked in bright yellow indicate a high level of novelty and strong potential for further exploration. However, behind AI’s great potential as an educational technology, it is crucial to recognize that not all aspects of education should be fully run by AI. Ethical considerations must remain a central concern, ensuring that the implementation of AI in education maintains a balanced approach between technological functionality and human values.  
Research Trends on Deep Learning for Mathematics Learning in Scopus Database: Concept Map & Emerging Themes Using Scopus AI Zafrullah, Zafrullah; Arriza, Lovieanta; Salman Rashid; James Leonard Mwakapemba; Mariano Dos Santos; Usama Rasheed
Elementaria: Journal of Educational Research Vol. 3 No. 1 (2025): Advancements in Educational Technology Research
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/elm.v3i1.93

Abstract

This paper aims to explore the concepts and themes emerging in the literature related to "Deep Learning in Mathematics Learning" in order to understand the direction of development and current trends in the field. To achieve this goal, the study uses the Automatic Systematic Literature Review (SLR) method with the help of Scopus AI, which allows for the automatic identification of concepts and themes through the visualization of concept maps and emerging themes. The database selection focused solely on Scopus due to its high reputation and extensive coverage of high-quality international journals. The keyword used is "deep learning in mathematics learning" with a publication time limit from 2003 to 2025, thus covering early developments to the latest trends. This approach allows for systematic and efficient literature mapping without having to manually review all documents. The analysis reveals that the topic of "Deep Learning in Mathematics Learning" encompasses several emerging themes, including student performance prediction, AI integration in mathematics education, and the adoption of innovative pedagogical practices. Based on the concept map visualization, three main research directions are identified: Learning Environment, Techniques, and Applications. The theme of student performance prediction highlights the use of neural network models such as CNNs and LSTMs to analyze key factors influencing academic outcomes. Meanwhile, AI integration focuses on the development of adaptive learning platforms that personalize instruction and enhance learning effectiveness. Innovative pedagogical practices, including the use of extended reality and machine learning, aim to create immersive and interactive learning experiences. Overall, these findings underscore the significant potential of deep learning to transform mathematics education through intelligent, adaptive, and student-centered approaches.
Trends in the Use of Critical Thinking as Mathematics Learning over the last 20 Years: Analysis Bibliometric Ariawan, Rezi; Sukestiyarno, Yohannes Leonardus; Pujiastuti, Emi; Sugiman, Sugiman; Zafrullah, Zafrullah
Jurnal Pendidikan MIPA Vol 25, No 2 (2024): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

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

Abstract

This research aims to analyze research trends on the topic of critical thinking in mathematics learning using bibliometric analysis. By selecting documents in Scopus Database using the PRISMA method, 94 documents were obtained which were analyzed using the R Program and VOSviewer. From the results of the analysis, it can be concluded that research on the Scopus database began in 2004 to 2024 or the last 20 years, with a 3-fold increase in publications in the last 6 years. 2020 was the year with the highest citation impact, namely 130(10.53%) citations. Indonesia stands out as the country with the highest number of publications at 19(20.21%) and number of citations is 145(11.75%). International Journal of Instruction stands out as the source with the highest h-index, namely 5. Universitas Islam Negeri Mataram leads with a total of 8(8.51%) publications. Suparman from the Universitas Pendidikan Indonesia is the author with the highest contribution with an h-index of 5. The article with the highest number of citations of Şendağ et al. (2009) with 241 citations. 39 keywords were obtained which were divided into 7 groups, with the keywords "Problem Solving", "Flipped Learning", "Analysis", and "Mathematics Course" the latest keywords which can be used as recommendations for further research in the field of critical thinking in mathematics learning.         Keywords: critical thinking, mathematics learning, bibliometric, biblioshiny. DOI: http://dx.doi.org/10.23960/jpmipa/v25i2.pp637-658
Transforming the Utilization of ChatGPT in Education: A Bibliometric Analysis Zafrullah, Zafrullah; Anggraini Hardi, Vivin; Nabilah, Nabilah; Fitriani, Annisa
Innovative: Journal Of Social Science Research Vol. 4 No. 1 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

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

Abstract

ChatGPT OpenAI adalah teknologi kecerdasan buatan inovatif yang, setelah menjalani pelatihan, dapat meniru interaksi manusia melalui Pemrosesan Bahasa Alami (Natural Language Processing/NLP) dan dapat menjadi alat pendidikan yang inovatif dan efektif dalam berbagai konteks pendidikan. Penelitian ini menganalisis tren penelitian mengenai kecerdasan buatan dalam pendidikan, menggunakan analisis bibliometrik untuk memahami kondisi penelitian saat ini di bidang ini. Analisis ini dilakukan dengan menggunakan database online seperti Scopus untuk mencari artikel penelitian yang relevan tentang ChatGPT dalam Pendidikan. Hasil analisis menunjukkan bahwa 325 sumber ditemukan, dengan periode cakupan literatur mulai dari tahun 2022 hingga tahun berikutnya, yaitu 2024. Sumber-sumber tersebut berasal dari berbagai jenis publikasi, termasuk jurnal, buku, ulasan, prosiding, dan lainnya, yang semuanya telah terdaftar di database Scopus. Salah satu temuan yang mencolok adalah adanya peningkatan pertumbuhan publikasi yang cukup signifikan yaitu sebesar 73,21%. Ada tiga negara yang mendominasi sebagai afiliasi dengan jumlah artikel terbanyak, yaitu Amerika Serikat (4), Australia (3), dan Jerman (2). Thorp (2023) merupakan sumber yang paling banyak dikutip dengan 252 kutipan. Artikel ini membahas pendapat tentang ChatGPT yang memainkan peran penting sebagai alat bagi mereka yang merumuskan hipotesis dan memahami hasil yang mereka cari. Viroj Wiwanitkit dari Joseph Ayobabalola University di Nigeria adalah penulis paling produktif dengan 12 artikel yang berkaitan dengan penggunaan ChatGPT dalam pendidikan. Di antara kata kunci berwarna kuning, "Pendidikan", "Kecerdasan Buatan", dan "Pembelajaran Mesin" menonjol. Hal ini menunjukkan bahwa ada potensi besar untuk penelitian lebih lanjut dalam konteks pendidikan dengan memanfaatkan ketiga kata kunci tersebut.
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 Hamidah, Anggun Siska Ilham Muhammad James Leonard Mwakapemba Kurnia Novianti, Kurnia 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 Retno Subekti 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 Shely Cathrin 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