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All Journal International Journal of Electrical and Computer Engineering Jurnal Infinity Jurnal Keolahragaan AKSIOMA: Jurnal Program Studi Pendidikan Matematika Profesi Pendidikan Dasar Jurnal Elemen OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Kajian Pembelajaran Matematika Union: Jurnal Ilmiah Pendidikan Matematika Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Analisa PRISMA JTAM (Jurnal Teori dan Aplikasi Matematika) JE (Journal of Empowerment) Gema Wiralodra JPMI (Jurnal Pembelajaran Matematika Inovatif) Jurnal Tecnoscienza GAUSS: Jurnal Pendidikan Matematika Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika Jurnal BELAINDIKA (Pembelajaran dan Inovasi Pendidikan) International Journal on Teaching and Learning Mathematics Community Education Engagement Journal TIERS Information Technology Journal Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Jurnal Pengabdian Kepada Masyarakat Abdi Nusa International Journal of Mathematics and Mathematics Education (IJMME) Papanda Journal of Mathematics and Sciences Research Polyhedron International Journal in Mathematics Education International Journal of Didactic Mathematics in Distance Education Jurnal Infinity SISTEMIK : Jurnal Ilmiah Nasional Bidang Ilmu Teknik International Journal of Applied Learning and Research in Algebra Journal on Mathematics Education Research MUDARRISA: Jurnal Kajian Pendidikan Islam Eduma : Mathematics Education Learning and Teaching
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Gamification in mathematics education: a bibliometric analysis Edi Supriyadi; Jarnawi Afgani Dahlan; Dadang Juandi; Rani Sugiarni; Ahmad Lutfi Fauzi
International Journal on Teaching and Learning Mathematics Vol 5, No 1 (2022): June (This issue published papers with authors/co-authors from 2 countries [Nige
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijtlm.v5i1.17879

Abstract

The aim of this research was to identify patterns in the authors' use of keywords from research publications on gamification in mathematics learning; this would allow us to gauge the productivity and influence of this field of study. For the purpose of doing bibliometric analysis, data from Scopus ranging from 2017 to 2022 was utilized. Included in this investigation were forty-two research articles over the full time period, making the total number of documents included in this study n = 42.  Following the execution of the search procedure, the data were taken from Scopus utilizing the.csv file format, and afterwards, they were imported into a spreadsheet utilizing Microsoft Excel. The date for the gathering of data as well as the analysis is the 18th of August in 2022. The SciVal system (https://www.scival.com/) was utilized as a research tool for the goal of analyzing bibliographic indicators. A bibliometric analysis of our publications in gamification in mathematics learning research allows us to conclude that the number of publications is increasing every year. Although the publication activity of indexed scientists in Scopus is still low in this study. Study on gamification in mathematics education is the most researched topic in the social sciences. Dureva is the author of the most impactful publications on gamification of mathematics education. Both Bina Nusantara University in Indonesia and South-West University Neofit Rilski in Bulgaria are universities that have produced two scholarly documents each, making them the only two universities in the world to share this output. The journal Advances in Intelligent Systems and Computing has the most scholarly output and is the most visited on its journal website. The finding that this research can give a basis for selecting the research that will be carried out by raising the topic of gamification in mathematics education is the consequence that was derived from this research. Because certain keywords in the field of research on the gamification of mathematics education are always subject to change. In addition, this research on bibliometric analysis can be utilized for systematic literature research and meta-analysis linked to gamification in mathematics education, and it can also be used to improve research that has already been conducted.
Exploring the future of mathematics teaching: Insight with ChatGPT Edi Supriyadi; K. S. Kuncoro
UNION : Jurnal Ilmiah Pendidikan Matematika Vol 11 No 2 (2023)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/union.v11i2.14898

Abstract

This study aims to provide a comprehensive overview of the future of mathematics teaching from the perspective of ChatGPT, an advanced language processing artificial intelligence (AI) developed by OpenAI. The results of the chat transcripts edited with ChatGPT suggest that the future of mathematics teaching will see the integration of technology and AI to provide personalized learning experiences, blended learning environments, and computational thinking, data literacy, and statistics. Problem-solving, critical thinking, and interdisciplinary connections will continue to be emphasized, and equity and inclusion will remain crucial. AI is expected to revolutionize mathematics education, but thoughtful implementation, ongoing professional development, and pedagogical considerations are essential. However, the future of teaching mathematics will continue to evolve. Therefore, teachers and lecturers need to keep abreast of the latest developments and adapt to them while remaining committed to providing quality teaching.
ANALISIS BIBLIOMETRIK LITERASI MATEMATIKA DALAM DATABASE SCOPUS MENGGUNAKAN VOSVIEWER Mahmudin Mahmudin; Tatang Herman; Edi Supriyadi; Ratu Sarah Fauziah Iskandar; Rani Sugiarni
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 12, No 3 (2023)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v12i3.6832

Abstract

Penelitian ini bertujuan menganalisis pemetaan bibliometrik penelitian literasi matematika pada database Scopus menggunakan VOSviewer. Data yang diperoleh terkait dengan kata kunci “mathematical literacy” atau “mathematics literacy”tanpa batas waktu dari tahun 2012 sampai dengan tahun 2022 dengan total 171 dokumen yang relevan dengan 52 item dan 1091 link yang terbagi dalam tiga cluster. Hasil kajian menunjukkan bahwa jumlah publikasi terkait penelitian meningkat setiap tahun hingga tahun 2022. Dari tahun 2005 hingga 2010, peningkatan jumlah publikasi tidak berbeda nyata yang ditunjukkan dengan kurva datar. Kemudian, kurva meningkat tajam dari tahun 2012 ke tahun 2019, menunjukkan peningkatan yang signifikan dari 1 menjadi 26 artikel yang diterbitkan. Namun, dari tahun 2019 hingga 2022, jumlah artikel yang diterbitkan menurun drastis dari 26 artikel menjadi 13 artikel. Hasil analisis menunjukkan bahwa penelitian tentang literasi matematika masih berpotensi untuk meningkatkan publikasi pada tahun ini dan tahun-tahun berikutnya.
Eksplorasi Penggunaan ChatGPT dalam Penulisan Artikel Pendidikan Matematika edi supriyadi
Papanda Journal of Mathematics and Science Research Vol. 1 No. 2 (2022): Volume 1 Nomor 2 Desember 2022
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v1i2.252

Abstract

This study aims to explore the potential of ChatGPT, an artificial intelligence platform developed by OpenAI, in assisting the process of writing research articles on mathematics education. This research is a qualitative descriptive study that collects a sample of data which is then checked using Turnitin to determine the plagiarism level of the contents of articles created by ChatGPT. Nonetheless, this study has limitations in the limited number of samples due to time and resource constraints. The purpose of this research is to find out how ChatGPT can help in the process of making math education research articles and whether it can improve the quality of the research articles that are made. The results of this research are expected to contribute to the latest studies on ChatGPT's ability to assist in the process of writing math education research articles, as well as provide input for teachers, lecturers, and other researchers in utilizing ChatGPT as a tool in the process of writing research articles
Eksplorasi Penggunaan ChatGPT dalam Penulisan Artikel Pendidikan Matematika edi supriyadi
Papanda Journal of Mathematics and Science Research Vol. 1 No. 2 (2022): Volume 1 Nomor 2 Desember 2022
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v1i2.255

Abstract

This study aims to explore the potential of ChatGPT, an artificial intelligence platform developed by OpenAI, in assisting the process of writing research articles on mathematics education. This research is a qualitative descriptive study that collects a sample of data which is then checked using Turnitin to determine the plagiarism level of the contents of articles created by ChatGPT. Nonetheless, this study has limitations in the limited number of samples due to time and resource constraints. The purpose of this research is to find out how ChatGPT can help in the process of making math education research articles and whether it can improve the quality of the research articles that are made. The results of this research are expected to contribute to the latest studies on ChatGPT's ability to assist in the process of writing math education research articles, as well as provide input for teachers, lecturers, and other researchers in utilizing ChatGPT as a tool in the process of writing research articles.
Analisis Kemampuan dalam Pengimplementasian Matriks di Sekolah Menengah Kejuruan Lukman Wildani; Pebri Yolanda; Satria Agung Laksana; edi supriyadi
Papanda Journal of Mathematics and Science Research Vol. 1 No. 2 (2022): Volume 1 Nomor 2 Desember 2022
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v1i2.257

Abstract

This study aims to describe the mathematical comprehension ability of students in class XI of SMK, particularly on matrix material. This research is qualitative descriptive research. The data source obtained was derived from test results, interviews, and documentation. From the research conducted can be it is concluded that the results of students' mathematical comprehension ability on matrix material are included in the low (a)category. the research has shown that there are categories of students' mathematical comprehension ability, namely: students with mathematical comprehension ability in the high category totaled 1 person or 7.69%; (b) Students with mathematical comprehension ability in the medium category totaled 5 people or 38.46%; (c) Students with mathematical comprehension ability in the low category totaled 7 people or 53.84%. As for abilities, the highest mathematical understanding is found in the indicator of re-expressing a concept
Pengaplikasian Matlab pada Perhitungan Matriks muhamad fatwa; Ristu Rizki; pandiangan sriwinarty; edi supriyadi
Papanda Journal of Mathematics and Science Research Vol. 1 No. 2 (2022): Volume 1 Nomor 2 Desember 2022
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v1i2.260

Abstract

This study aims to determine the Application of Matlab in the Matrix. The development and presence of computer technology have made it easy for various parties to use it in life, including education, to support education. Computers are increasingly providing significant benefits in education, especially in learning. Hundreds or even thousands of computer application programs or software can be used for learning mathematics, especially the Matrix. One software that can be used in Matrix learning is the Matrix Laboratory (MATLAB). This program can increase speed and accuracy in mathematical calculations in Matrix learning so that the time needed to work is more efficient. The results obtained are more accurate than estimates done manually. It can also visualize graphs in 2 and three dimensions, for example, in completing the Matrix, so it is expected to increase understanding of the material provided.
Implementasi Masalah Matematika melalui SPSS Lukman Wildani; Pebri Yolanda; Satria Agung Laksana; edi supriyadi
Papanda Journal of Mathematics and Science Research Vol. 1 No. 2 (2022): Volume 1 Nomor 2 Desember 2022
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v1i2.261

Abstract

This research is intended to be implemented primarily for final-year students. However, students interested in qualitative research can use this software. This research is qualitative. The data sources come from several articles, the internet, or their own data. Data we have obtained. From the research, quantitative data processing using SPSS software provides fast and accurate results in processing data using relatively simple software. The process of processing data is done manually
Exploring Metaverse Integration in Education: A Case Study on Vocational School Teachers Samsul Pahmi; Anggy Pradiftha Junfithrana; Edi Supriyadi
Jurnal BELAINDIKA (Pembelajaran dan Inovasi Pendidikan) Vol 5 No 3 (2023): Jurnal BELAINDIKA
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/belaindika.v5i3.125

Abstract

The metaverse, gaining attention especially in education, holds the potential to transform traditional teaching methods and improve educational outcomes by creating immersive learning environments. This study, focusing on integrating the metaverse into mathematics education at SMK Hasina in Sukabumi, Indonesia, reveals insights through a qualitative case study. Educators showed varied understanding levels influenced by interest and technological backgrounds. Acknowledging the metaverse's potential, educators affirm its ability to enhance interaction and accessibility in education. Recommendations propose extensive educator training and integration methods for the metaverse, emphasizing its promise in engaging students and reshaping teaching methodologies for diverse learning styles. While it promises dynamic learning experiences and global collaborations, comprehensive research is needed to understand its full potential and challenges. Educator education and broader involvement are vital for effective integration into educational settings, enhancing outcomes and inclusivity in learning.
GeoGebra Research in Indonesia: A Bibliometric Analysis Supriyadi, Edi; Septian, Ari; Dahlan, Jarnawi Afgani; Juandi, Dadang
PRISMA Vol 11, No 2 (2022): PRISMA Volume 11, No 2 Tahun 2022
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jp.v11i2.2572

Abstract

There is evidence that utilizing GeoGebra in the classroom can be beneficial, especially in the field of mathematics. Dynamic Geometry Software (DGS) such as GeoGebra is a category of a computer program that combines algebraic and geometric capabilities. In the beginning, GeoGebra was nothing more than an application that could be used on personal computers. Because bibliometric analysis is employed in GeoGebra research projects. In addition, the objective of this work is to undertake bibliometric analysis to determine the development of GeoGebra research in Indonesia. A bibliometric analysis was carried out with the intention of evaluating the previous work that has been done on the topic of GeoGebra in Indonesia. We are interested in examining the progression of GeoGebra research outcomes in Indonesia, as well as the distribution pattern of publications in Scopus. The results are displayed in a short amount of time and in certain cases provide a comprehensive look at the developments and standing of the GeoGebra literature by affiliation from Indonesia, including information on authors, institutions, nations, and author keywords. For the purpose of clarity, the author's own keywords are the only ones used in the data analysis in this study. However, no R programming language library currently exists that can handle this issue.