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All Journal Jumat Informatika: Jurnal Pengabdian Masyarakat Journal of Elektronik Sistem InformasI
Adjuah, Tamara
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Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Other

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Tren Penelitian Grafik yang Dihasilkan AI: Analisis Bibliometrik Publikasi 2020-2025 Adjuah, Tamara; Hasanah, Uswatun
JESII: Journal of Elektronik Sistem InformasI Vol 3 No 2 (2025): Journal of Elektronik Sistem InformasI - JESII (DECEMBER)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v3i2.4218

Abstract

This study aims to identify trends and developments in scientific research on AI-generated graphics during the period 2020–2025 using a bibliometric approach. The analysis focuses on publication trends, institutional and country collaborations, thematic distributions, and research network visualizations. Bibliometric data were collected from the Scopus database, resulting in 4,968 scientific documents retrieved using keywords such as “AI-generated graphics,” “text-to-image,” “DALL-E,” “Stable Diffusion,” and “Midjourney.” The analysis was conducted using VOSviewer to examine keyword co-occurrence, co-authorship, co-citation, and bibliographic coupling. The results show a significant increase in publications, with a notable peak in 2024. China emerged as the leading contributor, followed by the United States, supported by major research funding institutions such as the National Natural Science Foundation of China (NSFC). Thematic analysis indicates a shift from GAN-based models toward diffusion-based text-to-image models, accompanied by growing attention to semantic, ethical, and social issues. Network visualization reveals ten major research clusters, including health, digital arts, and computer vision. Unlike previous bibliometric studies that primarily focus on general artificial intelligence or isolated generative models, this study provides a comprehensive and up-to-date mapping of AI-generated graphics research by integrating technological evolution, creative AI platforms, and ethical dimensions within a single analytical framework. These findings offer a holistic understanding of the research landscape and serve as a foundation for future technological development and interdisciplinary collaboration in AI-generated graphics.
Implementasi Metode UEQ dalam Analisis dan Evaluasi Aplikasi PERKASA (Perpustakaan Kabupaten Pamekasan) Berbasis Mobile Adjuah, Tamara; Rofiuddin, Rofiuddin; Qurniawati, Muslimah; Dimas Bagas Firmansyah Arifin
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026): April
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasif.v7i1.6992

Abstract

The development of mobile-based digital library services is necessary to enhance information accessibility and improve the quality of library services. This community service activity aims to develop and evaluate the PERKASA application (Pamekasan Regency Library) as a mobile-based digital library service. The methods employed include direct observation and user experience evaluation using the User Experience Questionnaire (UEQ) and a four-point Likert scale questionnaire. The subjects of this activity were users of the PERKASA application at the M. Tabrani Regional Library of Pamekasan Regency, with a sample of 20 respondents. The research instruments were used to assess ease of use, effectiveness of the book search feature, clarity of information, application performance and stability, and interface design. Data were analyzed using a descriptive quantitative approach through percentage and mean score calculations. The evaluation results indicate that the PERKASA application received highly positive responses, with 100% of respondents agreeing or strongly agreeing on ease of use, clarity of information, and interface comfort. The effectiveness of the book search feature was also rated very positively, with 65% of respondents agreeing and 35% strongly agreeing. In terms of application performance and stability, 95% of respondents provided positive assessments, although a small number of users experienced minor technical issues. Based on these results, it can be concluded that the PERKASA application functions optimally as a mobile-based digital library information service and contributes to improving service quality and user experience.
Co-Authors Dimas Bagas Firmansyah Arifin Qurniawati, Muslimah Rofiuddin Uswatun Hasanah