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p-Index From 2021 - 2026
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All Journal Owner : Riset dan Jurnal Akuntansi Journal of Educational Management Research
Annisa Tri Hidhayati
Politeknik Negeri Tanah Laut
Humanities Economics, Econometrics & Finance Education Social Sciences

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Integrating AI Waste-Sorting Technology into Entrepreneurship Education: An Experimental Study on Student Sharfina Puteri Amima; Rizky Mega Arini; Riyadatul Muthmainnah; Annisa Tri Hidhayati; Rizky Aldi Setianda; Monry Fraick Nicky Gillian Ratumbuysang
Journal of Educational Management Research Vol. 5 No. 3 (2026)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v5i3.2332

Abstract

This study aims to evaluate the effectiveness of integrating AI-based waste-sorting technology into entrepreneurship education to enhance students’ cognitive literacy and entrepreneurial self-efficacy. The study employed a quantitative pre-experimental method using a One-Group Pretest–Posttest design involving 29 high school students. Data were collected through cognitive literacy tests, Likert-scale questionnaires, and observations of system performance. The findings indicate a substantial improvement in students’ cognitive literacy, with mean scores increasing from 38.62 in the pretest to 84.14 in the posttest, achieving an N-Gain score of 0.74 categorized as high. Students also demonstrated highly positive perceptions of the learning innovation, reflected in perceived usefulness (91.0%) and entrepreneurial interest (90.4%). Although the AI waste-sorting system achieved a classification accuracy of 63.8%, it effectively promoted students’ awareness of sustainable practices and encouraged entrepreneurial thinking related to environmental issues. The study implies that AI technology can function as a sociotechnical educational tool that transforms environmental challenges into innovation opportunities and supports the development of sustainability-oriented entrepreneurial competencies among students.
Thematic Evolution of Digital Accounting Information Systems: A Bibliometric Mapping (2000-2025) Rahmi Nadiar; Annisa Tri Hidhayati; Maulida Hirdianti Bandi; Kristianto Tricahya Prabowo; Anto Andreawan
Owner : Riset dan Jurnal Akuntansi Vol. 10 No. 2 (2026): Artikel Research April 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v10i2.3157

Abstract

This study maps the research landscape of Accounting Information Systems in the context of digital transformation by examining three key technological domains: Enterprise Resource Planning, cloud computing, and Artificial Intelligence. The dataset comprises journal articles and conference papers indexed in Google Scholar and published between 2000 and 2025 that address Accounting Information Systems in relation to at least one of these technologies. Records were retrieved using Publish or Perish and screened through purposive sampling with predefined inclusion and exclusion criteria, followed by duplicate removal, bibliographic normalization, and manual term validation, resulting in a final sample of 117 publications. Bibliometric mapping was conducted using VOSviewer to visualize co-authorship networks, keyword co-occurrence patterns, and thematic clusters, while descriptive citation indicators were employed to capture scholarly influence. The analysis identifies three dominant research clusters: Enterprise Resource Planning integration and implementation as a mature and highly cited stream; cloud-based accounting systems as a rapidly expanding stream, particularly after 2018; and Artificial Intelligence, enabled accounting and decision-support applications as an emerging yet comparatively underexplored stream. Across the studied period, publication output exhibits a sustained upward trend, accompanied by a gradual shift from system implementation studies toward platform-based and intelligent accounting applications. However, empirical research explicitly linking these technologies to organizational performance and governance outcomes remains limited. Overall, the findings reveal the evolving knowledge structure of digital Accounting Information Systems research and emphasize the need for future studies employing robust empirical designs, cross-technology integration, and clearly defined performance and accountability measures.
Co-Authors Amima, Sharfina Puteri Anto Andreawan Maulida Hirdianti Bandi Monry Fraick Nicky Gillian Ratumbuysang Prabowo, Kristianto Tricahya Rahmi Nadiar Riyadatul Muthmainnah Rizky Aldi Setianda Rizky Mega Arini