Indonesia, as a maritime country, has many coastal areas with fishing villages that have significant potential, especially in sociological, economic, and environmental aspects, to be developed as models for sustainable development. Indonesia, with its long-standing fishing traditions, showcases the abundant potential and traditional that could help address global challenges such as climate change, rapid urbanization, and environmental and economic issues. This study aims to develop a conceptual model for sustainable cities and communities based on local potential and Wisdom towards the establishment of a Blue Village in the fishing village of Mundu Pesisir, Cirebon, Indonesia. The urgency of this study lies in the importance of developing sustainable strategies to address these challenges in coastal towns. This study involves an interdisciplinary team, including experts in sociology, social welfare, architecture, law, economics, and information technology. Through the identification of local natural and sociocultural resources, as well as the formulation of sustainable development strategies, this study develops a conceptual Blue Village model that can be applied to other coastal villages. The method employed in this study is qualitative descriptive, involving the steps of conducting a literature review, analyzing local potential, organizing focus group discussions, conducting interviews, and finalizing the conceptual model. The study employed, a purposive sampling technique, involving 110 participants. The results of the study include the modeling of a sustainable city and community development based on local potential and Wisdom aimed at creating Blue Villages in Indonesia, and It is expected to make a significant contribution to the creation of competitive and sustainable coastal areas capable of addressing the challenges of climate change and socioeconomic dynamics in the future.

This study examines how circular economy (CE) practices contribute to energy resilience by mitigating the impacts of energy shocks and supporting sustainable development. Through a systematic literature review (SLR) of recent studies, we analyze the ways in which CE strategies—such as resource recovery, renewable energy integration, and closed-loop supply chains—enhance energy security and reduce vulnerability to energy disruptions. Our research draws on academic databases, focusing on publications from 2018 to 2024, to identify key themes and practices that illustrate the transformative potential of the circular economy. Findings reveal that CE practices at macro, mezzo, and micro levels support resilience by fostering efficient resource use, reducing dependency on non-renewable energy sources, and promoting sustainable economic growth. Additionally, we highlight the roles of foreign direct investment (FDI), research and development (R&D), and supportive policies in accelerating the adoption of circular systems. The study concludes with recommendations for future research to address identified gaps, suggesting a roadmap for advancing circular economy practices as a means to enhance energy resilience and sustainability aims to reveal how wide array of factors affect transition towards more sustainable or circular economy.

The integration of Big Earth Data and Artificial Intelligence (AI) has revolutionized geological and mineral mapping by delivering enhanced accuracy, efficiency, and scalability in analyzing large-scale remote sensing datasets. This study appraisals the application of advanced AI techniques, including machine learning and deep learning models such as Convolutional Neural Networks (CNNs), to multispectral and hyperspectral data for the identification and classification of geological formations and mineral deposits. The manuscript provides a critical analysis of AI's capabilities, emphasizing its current significance and potential as demonstrated by organizations like NASA in managing complex geospatial datasets. A detailed examination of selected AI methodologies, criteria for case selection, and ethical and social impacts enriches the discussion, addressing gaps in the responsible application of AI in geosciences. The findings highlight notable improvements in detecting complex spatial patterns and subtle spectral signatures, advancing the generation of precise geological maps. Quantitative analyses compare AI-driven approaches with traditional techniques, underscoring their superiority in performance metrics such as accuracy and computational efficiency. The study also proposes solutions to challenges such as data quality, model transparency, and computational demands. By integrating enhanced visual aids and practical case studies, the research underscores its innovations in algorithmic breakthroughs and geospatial data integration. These contributions advance the growing body of knowledge in Big Earth Data and geosciences, setting a foundation for responsible, equitable, and impactful future applications of AI in geological and mineral mapping.

The subject of traditional institutions cannot be undermined in the project of sustainable leadership and good governance in Nigeria given the locus and crucial role of the institution in the past and modern Nigeria. It is incontrovertible that traditional and aboriginal values are held highly with reverence and respect in virtually all parts of Nigeria. To discountenance their relevance will be too costly in any leadership-cum-governance discourse. Towns, villages and cities were duly recognized and protected as the harbingers of culture, mores, norms and values. The contemporary government structure in Nigeria duly recognizes the importance of traditional institutions by having a Commission for Local Government (LG) and Chieftaincy Affairs at all State levels. Moreover, 5% of allocations to LGs go statutorily to the tradition institution in the State. Hitherto, the recklessness and abuse of the native authority system of local government administration in the 1950s–60s had led to the moderation and reforms of the system, which has continued to affect traditional institutions to date. To this end, the paper argues that traditional institutions hold so much values and cohesive practices as well as socially integrative potentials for nation-building so much that the State can leverage on them for sustainable leadership and overall good governance. The methodology adopted for collecting data for this study is descriptive research method, which relies on primary direct observation (eye-witness) account and relevant secondary materials such as texts, journal articles, official documents and internet materials. The data collected were analyzed and presented using thematic analysis and tables. National and international data already analyzed were found essential to drive home the argument of this study. The outcome of the paper provides useful information on how traditional institutions serve as a veritable platform for sustainable leadership and good governance in Nigeria. The paper concluded that traditional institutions, with its rich culture, values and practices, possess sufficient merits to propel the country towards sustainable leadership that would concomitantly induce economic, technological and political growth in Nigeria.