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Ilomata International Journal of Social Science
Published by Yayasan Sinergi Kawula Muda
ISSN : 2714898X     EISSN : 27148998     DOI : 10.52728/ijss
Core Subject : Religion, Humanities, Education, Social,
Religion Humanities Education Law, Crime, Criminology & Criminal Justice Other
FOCUS Ilomata International Journal of Social Science aims to provide information on both theoretical and empirical articles and case studies relating to sociology, political science, history, law in society and related disciplines. Published articles use scientific research methods, including statistical analysis, case studies, field research and historical analysis. SCOPE Ilomata International Journal of Social Science concerns on sociology, political science, history, law in society and related domains. through publication of research based articles and critical analysis articles. It describes, compares, interprets, and explains the whole aspects of multi discipline perspectives including anthropology, sociology, psychology, philosophy, education, philology and history of religion. Ilomata International Journal of Social Science acordially welcomes contributions from scholars of related disciplines
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 452 Documents
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AI and Sustainability-Oriented Teaching: An Exploratory Qualitative Study of Lecturers’ Perspectives from Four Countries Sri Yusriani; Endi Rekarti; Haniruzila Hanifah; Bendaoud Nadif; Muji Gunarto
Ilomata International Journal of Social Science Vol. 7 No. 3 (2026): July 2026
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijss.v7i3.2289

Abstract

This exploratory qualitative study examines how lecturers perceive artificial intelligence (AI) as supporting green behavior in higher education through sustainability-oriented teaching practices, responsible digital use, and institutional adaptation. Although AI adoption, sustainability education, and green behavior have been widely discussed, limited qualitative evidence explains how lecturers interpret the relationship between AI use and sustainability-oriented academic practice. This study clarifies AI-supported green behavior as lecturers’ perceived use of AI to support resource-conscious teaching, digital material optimization, responsible digital practice, ethical academic decision-making, and pedagogical redesign aligned with sustainability values. A qualitative research design was employed using semi-structured interviews with seven lecturers from Indonesia, Malaysia, Denmark, and Morocco. Data were analyzed using thematic analysis. The findings show that lecturers perceived AI as supporting sustainability-oriented academic practices by reducing repetitive workload, enabling cognitive reallocation, strengthening digital material optimization, raising ethical concerns, and highlighting the importance of institutional readiness, lecturer self-efficacy, and adaptive academic leadership. AI does not automatically produce green behavior; rather, its contribution depends on ethical governance, lecturer capability, institutional support, and sustainability-oriented academic culture. This study offers lecturer-centered qualitative insight into AI as a potential enabler of responsible and sustainability-oriented teaching innovation.
When Clarity Outweighs Capacity: PLS-SEM Evidence on Rerun Election Implementation in Tasikmalaya, Indonesia Dedi Rosadi; Gugun Geusan Akbar; Widaningsih
Ilomata International Journal of Social Science Vol. 7 No. 3 (2026): July 2026
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijss.v7i3.2577

Abstract

Rerun elections (Pemungutan Suara Ulang/PSU) are corrective electoral policies implemented under strict judicial deadlines and intense public scrutiny. However, empirical evidence on the factors associated with their operational effectiveness at the regency level remains limited. This study examines the associations of policy quality, institutional capacity, external support, and administrator commitment with perceived PSU effectiveness. Cross-sectional questionnaire data were obtained from 240 election administrators across 39 sub-districts in Tasikmalaya Regency and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Policy quality showed the strongest association with perceived effectiveness (β = .466, p < .001), followed by administrator commitment (β = .241, p < .001) and external support (β = .170, p = .004), whereas institutional capacity was not significant. The model explained 53.2% of the variance in perceived effectiveness (R² = .532). Importance-Performance Map Analysis identified regulatory misinterpretation and low public enthusiasm as priority areas for further attention. These results support a context-bound proposition that regulatory clarity may function as an enabling condition in time-constrained PSU implementation. The findings are based on administrator perceptions in one regency and should be validated using multi-source and cross-regency evidence

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