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All Journal Safari : Jurnal Pengabdian Masyarakat Indonesia Hikamatzu Journal of Multidisciplinary Research
Diajeng Fitri Wulan
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Religion Arts Humanities Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Library & Information Science Public Health Other

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Pelatihan Aplikasi Publish or Perish dan Vosviewer untuk Optimalisasi Percepatan Kelulusan Mahasiswa Tingkat Akhir Neny Desriani; Joni Putra; Aryan Danil Mirza. BR; Diajeng Fitri Wulan
SAFARI :Jurnal Pengabdian Masyarakat Indonesia Vol. 5 No. 4 (2025): Oktober : SAFARI :Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/safari.v5i4.3250

Abstract

Delays in the graduation of final-year students remain a common problem in higher education. One of the causes is low academic literacy, particularly in literature searches and bibliography compilation. To address this issue, this community service activity was carried out through training in the use of the Publish or Perish (PoP) and VOSviewer applications. The training was held at the Accounting Computer Laboratory of the University of Lampung using a participatory workshop method that emphasized hands-on practice and intensive mentoring. A total of 20 final year students from the Accounting Study Program were involved in this activity. The evaluation results showed a significant increase in participants' understanding. Students were able to compile more systematic literature reviews and identify research gaps in their respective fields of study. This activity also had an impact on increasing student motivation in completing their theses and reducing the technical burden on supervising lecturers. Thus, PoP and VOSviewer training proved to be effective in strengthening academic literacy, supporting graduation acceleration, and encouraging a culture of research in higher education. Moving forward, similar programs can be expanded to other study programs and integrated with scientific article writing training.
Artificial Intelligence for Greenwashing Detection: A Conceptual Analysis of NLP and LLM in Sustainability Reporting Mohammad Mostaf Fauzil Mufti; Tiara Rizky Cahya; Zahwa Nura Aziza; Khristina Putri Kasihwigati; Maureen Cahayli; Dina Safitri; Diajeng Fitri Wulan
Hikamatzu | Journal of Multidisciplinary Vol. 3 No. 1 (2026): Multidisciplinary Approach
Publisher : Hikamatzu | Journal of Multidisciplinary

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Abstract

Greenwashing, the practice of making misleading environmental claims, continues to hinder genuine progress toward sustainable development. Studies show that a significant proportion of corporate sustainability claims are exaggerated or unfounded, creating a demand for effective tools to identify such practices. Traditional methods of detecting greenwashing, such as manual reviews and basic keyword analysis, are often insufficient due to the complexity and volume of data involved. This study uses a conceptual and analytical research design to summarize existing evidence on the use of Artificial Intelligence (AI), including Natural Language Processing (NLP) and Large Language Models (LLMs), in detecting greenwashing. By analyzing sustainability reports, press releases, and social media content, these AI tools offer a more efficient and accurate approach to identifying discrepancies between corporate claims and actual practices. The findings demonstrate that AI technologies can significantly advance greenwashing detection, contributing to more reliable and accessible sustainability assessments. However, limitations remain, as the study focuses on only two AI methodologies. Future research should explore a wider range of AI tools and techniques to address industry-specific challenges and regulatory concerns, ensuring a more comprehensive approach to detecting greenwashing in corporate practices.
Co-Authors Aryan Danil Mirza. BR Dina Safitri Joni Putra Khristina Putri Kasihwigati Maureen Cahayli Mohammad Mostaf Fauzil Mufti Neny Desriani Tiara Rizky Cahya Zahwa Nura Aziza