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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Communications in Science and Technology Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Asean Journal of Science and Engineering (AJSE) Indonesian Journal of Community and Special Needs Education (IJCSNE) Brilliance: Research of Artificial Intelligence Automotive Experiences ASEAN Journal for Science and Engineering in Materials ASEAN Journal of Educational Research and Technology
Al Husaeni, Dwi Novia
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : ASEAN Journal of Educational Research and Technology

 1 
Exploring Global Research Trends on the Integration of Information Technology in Pragmatic Studies: A Bibliometric Analysis Haristiani, Nuria; Al Husaeni, Dwi Novia; Judiasri, Melia Dewi; Herniwati, H.
ASEAN Journal of Educational Research and Technology Vol 4, No 2 (2025): AJERT: VOLUME 4, ISSUE 2, September 2025
Publisher : Bumi Publikasi Nusantara

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This study aims to explore global research trends on information technology integration in pragmatics studies through a bibliometric approach. Data were collected from the Scopus database over the past decade (2015–2024), resulting in 30 documents being analyzed. The analysis included document distribution based on publication type, institutional affiliation, author's country of origin, and keyword mapping using VOSviewer software. The analysis results show that most publications come from the United States, followed by the Russian Federation and the United Kingdom. The most productive institutions are RUDN University and Curtin University. The most dominant document type is scientific journal articles. Based on keyword co-occurrence analysis, three main clusters were identified: (1) technology integration approaches and processes, (2) evidence-based studies in educational and language contexts, and (3) communication applications and learning effectiveness. These findings provide a comprehensive overview of the research landscape in information technology integration in pragmatics and can serve as a strategic reference for academics and practitioners in designing more effective language learning innovations in the digital era.
Bibliometric Mapping of Global Research Trends on Technology Integration in Japanese Language Education Al Husaeni, Dwi Novia; Haristiani, Nuria
ASEAN Journal of Educational Research and Technology Vol 3, No 3 (2024): AJERT: VOLUME 3, ISSUE 3, December 2024
Publisher : Bumi Publikasi Nusantara

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This study aims to map global trends in technology integration research in Japanese language learning using a bibliometric approach. Data were collected from the Scopus database and analyzed using VOSviewer to display network visualization, topic evolution, and keyword clusters. The results show a significant increase in publications since 2022, driven by the acceleration of post-pandemic digital transformation. Authors from China, Japan, and Indonesia dominate the contributions, with regional and international collaboration patterns. Keyword analysis identified three main clusters: conceptual approaches, digital learning experiences, and learning system development. Topics such as artificial intelligence, mobile learning, and NLP have become new trends that have been increasingly researched in the past two years. However, research is still limited to higher education and traditional pedagogical approaches. In conclusion, technology research in Japanese language teaching is developing dynamically, but there are still gaps that need to be bridged. The implication is that further research is needed at the elementary-secondary education level, collaborative approaches, and exploration of cutting-edge technologies to create adaptive and sustainable learning systems in the digital era. 
How to Search and Cite References from Google Scholar Al Husaeni, Dwi Novia; Al Husaeni, Dwi Fitria; Nandiyanto, Asep Bayu Dani
ASEAN Journal of Educational Research and Technology Vol 2, No 3 (2023): AJERT: VOLUME 2, ISSUE 3, December 2023
Publisher : Bumi Publikasi Nusantara

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Abstract

Each scientific paper contains references that can be used as a means of accountability for the author. Therefore, references are things that must be considered in writing scientific papers. The purpose of this study is to provide an example and demonstrate an easy way to cite and search for references from Google Scholar. The research method used is an experiment method with a literature study. An internet connection is required to open the Google Scholar search engine. The steps of this research consist of looking for articles in journals, getting citations, and building reference styles. There are several reference styles used in writing scientific papers, such as APA, MLA, Vancouver, Harvard, Chicago/Turabian, and IEEE styles. We identified that Google Scholar can be used as a tool that can assist in finding writing sources. Even though it requires an internet connection, Google Scholar makes it easy for writers to choose the reference style to use by using the "cite" button.
The Research Trend of Statistical Significance Test: Bibliometric Analysis Al Husaeni, Dwi Fitria; Al Husaeni, Dwi Novia; Fiandini, Meli; Nandiyanto, Asep Bayu Dani
ASEAN Journal of Educational Research and Technology Vol 3, No 1 (2024): AJERT: VOLUME 3, ISSUE 1, March 2024
Publisher : Bumi Publikasi Nusantara

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A significance test is a test that can determine whether a research hypothesis is accepted or not. Therefore, significance tests need to be carried out, especially for researchers who will conduct research related to hypothesis testing. This research discusses publication trends regarding significance tests. This research aims to analyze research trends regarding statistical significance tests using bibliometric analysis methods assisted by mapping analysis. Bibliometric analysis methods and mapping analysis with VOSviewer were used in this research. The data source was taken from the Google Scholar database in the period 2013 - 2023. The total number of documents found during the last 10 years was 1000 documents. Based on the research results, it was found that the number of publications regarding statistical significance tests has decreased every year. From a total of 281 documents in 2013 to 7 documents in 2023. The results of article data mapping produce three forms of visualization, namely network, overlay, and density visualization. The mapping results show that research on statistics still needs to be carried out, especially regarding significance tests. This research concluded that the trend of research discussing statistical significance tests is decreasing, although, in terms of its use, it is still very important, especially in processing quantitative research data.
Co-Authors Al Husaeni, Dwi Fitria Al Obaidi, Abdulkareem Sh. Mahdi Anisyah, Ani Asep Bayu Dani Nandiyanto Bisulthon, Ibrahim Danial Chalim, Saefuddin Chano, Jiraporn Eddy Prasetyo Nugroho Erlangga, E. Fadhillah, Farid Fiandini, Meli Hammouti, Belkheir Herniwati, H. Hofifah, Siti Nur Irawan Afrianto Judiasri, Melia Dewi Jundurrahmaan, Irham Kusnendar, Jajang Lala Septem Riza M. Munir Nuria Haristiani Obaidi, Abdulkareem Sh. Mahdi Al Piantari, Erna Prabawa, Harsa Wara Ragadhita, Risti Rasim, R. Roestamy, Martin Rokhman, Mauhibur Santoso, Yoga Budhi Wahyudin, W.