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All Journal Elementaria: Journal of Educational Research Riwayat: Educational Journal of History and Humanities
Anugrah Arya Bakti
Universitas Negeri Yogyakarta, Indonesia
Religion Humanities Education Languange, Linguistic, Communication & Media Social Sciences

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Item Analysis of Arabic Midterm Exam Class X SMK Muhammadiyah 4 Yogyakarta Based on Classical Theory with R Program Syaikha Dziyaulhaq Zein*; Ana Taqwa Wati; Anugrah Arya Bakti
Riwayat: Educational Journal of History and Humanities Vol 6, No 3 (2023): Social, Political, and Economic History
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v6i3.34299

Abstract

This study produces the results of the analysis of Arabic Language Midterm Exam items at SMK Muhammadiyah 4 Yogyakarta stating that the report data obtained from the results of mathematics tests with 25 items and 88 participants as shown in the appendix. From the calculation of the difficulty level parameters in the RStudio software, good results are obtained as in table 13. Of the 25 items of the Arabic Language Midterm Exam or instruments that have been analyzed using RStudio software, it is found that the parameter value at the difficulty level for each item. Based on the table for each item, 5 items are classified as "difficult", 11 items are classified as "medium", and the remaining 9 items are categorized as "low or easy" difficulty. This study also uses a type of quantitative research. And to investigate the items tested to 10th grade students of Muhammadiyah Vocational High School (SMK) using a quantitative type of data grouping by analyzing the items of the Even Mid-Semester Exam, to determine the quality of the product used, a range of quantitative data is needed in the form of raw data and response values from multiple choice questions to be studied .
Artificial Intelligence for Learning in Indonesia: Current Research Trends and School Implementation Anugrah Arya Bakti; Salman Rashid; 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.
Co-Authors Abdulnassir Yassin Ana Taqwa Wati James Leonard Mwakapemba Mariano Dos Santos Nur Yusra binti Yacob Salman Rashid Syaikha Dziyaulhaq Zein* Zafrullah Zafrullah