https://endless-journal.com/index.php/endless <p><strong>ENDLESS: International Journal of Future Studies</strong> with e-ISSN: <a href="https://issn.brin.go.id/terbit/detail/1615532870" target="_blank" rel="noopener">2775-9180</a> is a globally-oriented, trans-disciplinary refereed journal. Its mission is to develop high-quality, future-oriented research and thinking, based on the evolving knowledge base of Futures Studies/Foresight. The Journal’s approach is: – Trans-disciplinary – Epistemologically diverse, seeking articles from empirical, interpretative, critical and action learning research traditions, and; – Multi-methods based, including, for example, methods such as emerging issues analysis, scenario and alternative futures development and analysis, age-cohort analysis, causal layered analysis, visioning and backcasting; As well as refereed articles, the Journal publishes essays, book reviews, symposia, and art on the following topics: – Epistemologically focused futures studies on the construction of possible, probable and preferable futures; – Methodological innovation in futures studies, including not only integrated, layered, and critical approaches, but also empirical, interpretive, or action-learning based approaches; – Applied Futures (for example, case studies in using and practicing futures thinking for organizational change, development, and transformation); – Alternative futures on a variety of subjects (see topic categories below). The journal is published by the Institute of Futures Studies, Global Writing Academica Research and Publishing. Contributions The editors invite contributors in the areas of foresight, forecasting, long-range planning, visioning and other related areas, from any of the main research frameworks of futures studies – empirical, interpretative, critical, and action learning. The journal invites contributions that offer distinctive viewpoints on a broad range of futures and field-oriented issues. Articles, essays, and reports are expected to show an in-depth understanding of the field’s dimensions, content, research perspectives, and methods. To stimulate the systematic use and growth of futures literature, one of the criteria for publishing in the journal is indicating how the article relates to others in the literature of the future. That is, your paper should refer to material published in this journal and in the other journals in the futures field (including, <strong>ENDLESS: International Journal of Future Studies</strong>, Futures, Foresight, Technological Forecasting, and Social Change, The European Journal of Futures Research, World Future Review, On the Horizon) as well as futures material contained in books, monographs, other field related journals, including visual resources and web resources. Editors strongly advise authors to cite at least two or more works in the futures field.</p> Global Writing Academica Researching & Publishing en-US ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES 2775-9180 https://endless-journal.com/index.php/endless/article/view/380 <p>This study aims to analyze the condition of community empowerment, the inhibiting factors, and the empowerment strategies in the development of Alamendah Tourism Village in Bandung Regency. The study employed a qualitative approach with a case study design through in-depth interviews, field observations, and document analysis. The results indicate that community empowerment is still in a transitional stage. Although several positive dynamics have emerged, such as the initial establishment of relationships between managers and the community, community involvement in several activities, and efforts in documentation and promotion, the empowerment process has not yet been fully participatory and remains limited to a core group. The study also identifies several inhibiting factors, including weak social networks among local actors, non-participatory and unsustainable mapping of local potential, the absence of an inclusive shared vision, elite-dominated decision-making processes, limitations in collectively designing and implementing activities, and inadequate documentation and evaluation practices. The strategic analysis shows that community empowerment in tourism village development is positioned in Quadrant I (Strength–Opportunities), which requires the implementation of an aggressive–progressive strategy by optimizing the internal strengths of the community to capitalize on external opportunities in a sustainable manner. This strategy includes strengthening collective capacity, expanding collaborative networks, utilizing policy and technological support, and reinforcing local institutions to promote sustainable empowerment and enhance the competitiveness of the tourism village.</p> Helmi Andriansah Thomas Bustomi Soleh Suryadi Copyright (c) 2026 ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES https://creativecommons.org/licenses/by-nc-sa/4.0 2026-03-25 2026-03-25 9 2 1 13 10.54783/endlessjournal.v9i2.380 https://endless-journal.com/index.php/endless/article/view/381 <p>This study examines the transformative role of artificial intelligence (AI) in archival science, with a particular focus on enhancing records preservation, retrieval accuracy, and knowledge accessibility in the digital era. The increasing volume and complexity of digital records have posed significant challenges for traditional archival practices, necessitating the integration of advanced technological solutions. In response, AI has emerged as a promising approach to automate archival processes and improve the efficiency of information management systems. This study adopts a literature review methodology by systematically analyzing relevant scholarly publications to synthesize current knowledge on AI applications in archival contexts. The review draws upon peer-reviewed articles indexed in reputable databases to ensure the credibility and relevance of the findings. The results indicate that AI technologies, including machine learning, natural language processing, and computer vision, significantly contribute to improving digital preservation strategies and minimizing data degradation risks. AI-driven retrieval systems enhance the precision and speed of information access through intelligent indexing and semantic search capabilities. The study also finds that AI facilitates broader knowledge accessibility by enabling user-centered interfaces and adaptive information systems. Despite these advancements, several challenges persist, including ethical concerns, data bias, and the need for standardized implementation frameworks. This study contributes to the growing body of knowledge by providing a comprehensive synthesis of AI applications in archival science and offering insights for future research and practical implementation.</p> Endang Fatmawati Shamila Mohamed Shuhidan Samsul Farid Samsuddin Jazimatul Husna Yayuk Endang Irawati Minan Faiz Fausta Rafa Copyright (c) 2026 ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES https://creativecommons.org/licenses/by-nc-sa/4.0 2026-04-17 2026-04-17 9 2 14 31 10.54783/endlessjournal.v9i2.381