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INDONESIA
Journal of Architectural Research and Design Studies
ISSN : 25801252     EISSN : 25801260     DOI : -
Journal of Architectural Research and Design Studies (JARS) is a discursive venue for research groups, lectures and tutors and students emphasizing architectural education in Indonesian context. It connects education realm with building industries and architectural practices. This journal is internationally peer reviewed / refereed. JARS contains variety of architectural topics on architectural history and theory and criticism, structure and building science as well as design practices. The Journal encourages discursive architecture on marginalized community, gender, race or ethnicity, as well as multicultural and participatory approach.
Arjuna Subject : -
Articles 112 Documents
Transformation Of Fishermen's Settlements in Manado City : Case Study of Coastal Reclamation Boulevard Dua Dariwu, Claudia Talita; Pangauw, Kindly Anugerah Imanuel; Pangalila, Fiska Chintya Ezra
Journal of Architectural Research and Design Studies Vol. 10 No. 1 (2026): May
Publisher : Departement of Architecture, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jars.vol10.iss1.art11

Abstract

Research explores the Transformation of Fishing Settlements in the Boulevard Dua coastal reclamation area of Manado City, focusing on how communities adapt to ecological changes and coastal urbanization. The reclamation initiative, intended to expand urban land, has resulted in shifts in spatial layouts, housing designs, and fishermen's income sources. Utilizing a mixed-methods approach that combines GIS-based spatial analysis, direct field surveys, and in-depth interviews, the study uncovers that settlements now face inland rather than the sea, and traditional homes have transitioned into permanent multifunction residences. Livelihoods have moved from exclusive fishing to services and small-scale commerce. These observations demonstrate social and architectural adaptations to urban development pressures, while emphasizing the importance of fair, environmentally friendly coastal planning centered on local communities. Building on this context, the research explicitly targets three core issues in post-reclamation settlement transformation: spatial patterns of settlement, shifts in housing functions, and alterations in the architectural identity of local communities. The problem scope encompasses changes in spatial orientation from sea to land, reconfiguration of settlements from linear to grid or cluster forms, modifications of house roles from single-purpose to productive dwellings, and the effects on the continuity of coastal architectural identity deeply rooted in maritime culture. The anticipated results will not only chart physical and functional changes but also elucidate how fishing communities formulate adaptation strategies to uphold their architectural and social identities amid challenges posed by urbanization and reclamation policies.
Generative Artificial Intelligence in Off-Grid Architecture: Design-Stage Typologies and Building Precedents Al Athas, Syarifah Ismailiyah; Moayyed, Erfan
Journal of Architectural Research and Design Studies Vol. 10 No. 1 (2026): May
Publisher : Departement of Architecture, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jars.vol10.iss1.art12

Abstract

Generative artificial intelligence (AI) is increasingly embedded in architectural practice, yet its contribution to off-grid autonomy remains uneven and insufficiently theorized. While AI tools are applied across stages ranging from conceptual visualization to performance optimization and operational energy management, their architectural impact varies depending on where they intervene within the design continuum. This study develops a typological framework that classifies generative AI applications according to design stage and subsystem integration depth. Through comparative analysis of precedent projects including Hy-Fi Pavilion, the NEST Project, Cal-Earth EcoDomes, Solar Decathlon prototypes, and AI-optimized renewable systems, the research evaluates how generative AI contributes to energy autonomy, water and waste integration, lifecycle strategy, and environmental validation. The findings indicate that diffusion-based systems primarily expand morphological exploration, whereas parametric–evolutionary and simulation-integrated generative frameworks demonstrate significantly greater potential for multi-system optimization in off-grid architecture. The study concludes that the effectiveness of generative AI in autonomous design is determined less by technological sophistication than by the degree to which it is embedded within validated environmental feedback loops.

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