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Journal of Artificial Intelligence in Architecture
Published by Universitas Atma Jaya Yogyakarta
ISSN : 29625629     EISSN : 28296257     DOI : https://doi.org/10.24002/jarina
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT
Journal of Artificial Intelligence in Architecture (JARINA) is currently accepting manuscripts from professionals, teachers, researchers, and students in various backgrounds, including the following disciplines: Architecture Urban Design Building Sciences Informatics Engineering in Architecture Neuro - Psychology in Architecture Topics of interest may include but not limited to: digital art, informatics, neuroscience, and technology in architecture.
Arjuna Subject : Teknik (semua kategori) - Arsitektur
Articles 75 Documents
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Computational Methods and Artificial Intelligence in The Architectural Pre-Design Process (Case Study: House Design) Yudhanta, Widi Cahya; Hadinata, Irwan Yudha
Journal of Artificial Intelligence in Architecture Vol. 3 No. 1 (2024): Artificial Intelligence for Architectural Evolution: From Virtual Pedagogy to B
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v3i1.8431

Abstract

The current development of information technology infrastructure has positively impacted the ease with which people can carry out work activities physically and creatively. Artificial intelligence, which is currently starting to penetrate the world of visual design and architecture, is starting to develop from integrating design methods to methods of presenting or communicating architecture. In this study, aspects of artificial intelligence are used as a pre-design method, which is considered to help speed up decisions in design communication. The problem raised in this study is how optimal the involvement of computing and artificial intelligence is in providing pre-design considerations in the case of simple residential houses, especially in the analysis, space, and visual aspects. This study aims to obtain the methods and influence of computing and artificial intelligence in formulating pre-designs and generating understanding regarding the methods of their use. Several analysis tools are used for the spatial approach: the space syntax using DepthmapX software, solar analysis using the Shadedat plugin, and the visual shape of the building using Stable Diffusion. This research uses an experimental approach to obtain the desired design results. This study's findings explain that applying appropriate computational and artificial intelligence methods will produce an effective and efficient design process. With the correct sequence, it will have a measurable design process that can be assessed well.
Front Matter of JARINA Vol.3 No.1, 2024 Satwiko, Prasasto
Journal of Artificial Intelligence in Architecture Vol. 3 No. 1 (2024): Artificial Intelligence for Architectural Evolution: From Virtual Pedagogy to B
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Back Matter of Jarina Vol. 3 No1 ,2024 Satwiko, Prasasto
Journal of Artificial Intelligence in Architecture Vol. 3 No. 1 (2024): Artificial Intelligence for Architectural Evolution: From Virtual Pedagogy to B
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

History of Artificial Intelligence and Its Potential to Revolutionising the Interior Design Industry Mahendarto, Trias
Journal of Artificial Intelligence in Architecture Vol. 4 No. 1 (2025): The AI-Driven Evolution: Transforming Architecture, Design, and Urban Spaces th
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v4i1.9111

Abstract

With its constant development and refinement, artificial intelligence (AI) has incorporated itself in many practical fields, including design. Interior design, as part of the design discipline, has also begun to incorporate AI into its industry, from the design process to the production process. Due to its constant evolution, the current studies of AI’s influence in the interior design industry are often limited to singular focus areas, creating an incomplete assessment of the correlation and impact of AI on the interior design industry. This research studies the impact of AI on the interior design industry, from the historical development of AI and its implementation in interior design in general, its integration into the design process, its application to the workflow and production process, to its current challenges and limitations in the interior design industry. The research uses a literature study, which chooses scientific writings and research that this research considered significant in the study of AI’s influence and potential in the interior design industry. This research provides insights for interior design and artificial intelligence professionals, researchers, and stakeholders. It highlights the importance of interdisciplinary collaboration to maximize the potential of artificial intelligence in the interior design industry.
The Role of Neuroscience and Artificial Intelligence in Biophilic Architectural Design Based on the Principle of Symbiosis Adityo, Adityo
Journal of Artificial Intelligence in Architecture Vol. 3 No. 2 (2024): Artificial Intelligence for Architectural Alchemy: Fusing Human Creativity and
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v3i2.9119

Abstract

Biophilic architecture aims to create an environment that enhances connectivity between humans and nature to improve physical, mental, and emotional well-being. This review analyses 25 recent scientific journals on the application of neuroscience and artificial intelligence (AI) to optimise biophilic architectural design based on the principle of symbiosis. Results show that neuroscience provides valuable insights into human psychophysiological responses to various biophilic elements, while AI enables complex data processing, predictive modelling, and real-time design adaptation. The collaboration of neuroscience and AI can help produce a more effective, responsive to human needs, and sustainable biophilic environment. On the other hand, flexibility is demonstrated by the breadth of the architectural design process phases that can be reached through this collaboration. However, methodological and ethical challenges must be addressed to ensure responsible application.
Evaluation of Natural Light in EcoHouse Bandung Sutanty, Prisca Bicawasti Budi; Stefanus Christian Diyaneswara
Journal of Artificial Intelligence in Architecture Vol. 3 No. 2 (2024): Artificial Intelligence for Architectural Alchemy: Fusing Human Creativity and
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v3i2.9183

Abstract

The availability of natural lighting is significant to the quality of life in a residential setting. A residence that is conducive to health and comfort requires adequate natural sunlight, which can eliminate viruses and mould indoors and improve the health of its occupants. Furthermore, the strategic incorporation of natural lighting can also lead to a reduction in energy expenditure. This research aims to evaluate the natural lighting in the EcoHouse Bandung, designed by SHAU Architecture and Urbanism, to ascertain its effectiveness and identify areas requiring improvement. The methodology employed entails the utilisation of simulations conducted with the Autodesk Ecotect Analysis 2011, encompassing the assessment of Shadow Range, Solar Access Analysis, and Lighting Analysis. The analysis results demonstrate that the EcoHouse Bandung has responded effectively regarding orientation and building envelope utilisation. However, some areas require specific adjustments due to insufficient or excessive light intensity. The analysis indicates the necessity for optimisation in several areas, including workspaces, living rooms, dining rooms, and bathrooms on the first floor. This research identifies three main principles for eco-house design: firstly, primary lighting should not disturb neighbours or cause harm to occupants; secondly, facade materials and technologies should be selected based on each façade's specific requirements; and thirdly, corridors should be considered as primary barriers in reducing excess heat and light. These findings are anticipated to optimise existing conditions and achieve ideal standards that support environmental sustainability and occupant comfort.
Unveiling the Potential of AI Assistants: A Review of AI in Building Materials Selection Wibowo, Andi Prasetiyo
Journal of Artificial Intelligence in Architecture Vol. 3 No. 2 (2024): Artificial Intelligence for Architectural Alchemy: Fusing Human Creativity and
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v3i2.9293

Abstract

Fast-advancing Artificial Intelligence (AI) has transformed many industries, including construction. AI offers innovative solutions to increase efficiency and effectiveness in various aspects of construction, one of which is selecting building materials. By reading relevant literature, this study aims to determine how much AI can help choose building materials so that projects go more easily and quickly. Using SCOPUS as its principal database, this study conducted a literature review. The method of this study begins with the process of filtering articles using the key string: ("artificial intelligence" OR AI) AND ("building materials" OR "construction materials") AND ("efficiency" OR "time" OR "cost") to find relevant articles. The research results show that AI can help improve time and cost efficiency in selecting building materials through various means, such as data analysis, material recommendations, cost optimisation, and performance estimation. In conclusion, this study shows that AI has much potential to make choosing building materials more efficient and effective, thus reducing building time, costs, and environmental damage. Still, it also dramatically impacts building monitoring and maintenance and task automation.
Exploring the Educational Potential of VR: Immersive vs. Non-Immersive VR in Virtual Space Learning Santy, Delvita
Journal of Artificial Intelligence in Architecture Vol. 4 No. 1 (2025): The AI-Driven Evolution: Transforming Architecture, Design, and Urban Spaces th
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v4i1.9333

Abstract

This study explores the impact of Virtual Reality (VR) in architectural education at Atma Jaya Yogyakarta University, focusing on the differences between immersive and non-immersive VR experiences. Two groups of architecture students participated in the study: one group used VR headsets, while the other engaged with non-immersive virtual environments. Both groups completed a User Experience Questionnaire (UEQ), and their responses were analysed using the Mann-Whitney U test. The study found that students using VR headsets reported significantly higher engagement, satisfaction, and overall positive experience than non-immersive methods. These findings suggest that immersive VR has more potential to enhance student learning experiences in architectural education, providing valuable insights for developing practical digital learning tools and strategies.
The Study of AI integrated Simulation in Building Information Modelling (BIM) Use at Architectural Design Studio Dharmatanna, Stephanus Wirawan; Wijaya, Elvina Shanggrama
Journal of Artificial Intelligence in Architecture Vol. 4 No. 1 (2025): The AI-Driven Evolution: Transforming Architecture, Design, and Urban Spaces th
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v4i1.9415

Abstract

The presence of Artificial Intelligence (AI) has been widely spread and used in many aspects of life, including education, as an image generator, source of data exploration, and means of visualization. Nevertheless, the research regarding the use of AI in the Architectural design studio process is still few, especially in the context of Indonesian Architectural education. Therefore, this research aims to picture the use of AI integrated Building Information Modelling in the design studio. This research was done by combining observation and a questionnaire. The use of AI in wind and thermal simulation of 5th-semester students with medium-rise building projects was studied. The students were being exposed to conventional simulation software, before being introduced to Autodesk Forma, an AI based cloud simulation. After the semester ends, students are asked to fill in a questionnaire regarding their process of doing simulation. The result is that most of the students find the AI-based simulation easy, regardless of the limitation of simulated areas and the maximum file size of the trial-free version. They still find more benefits of using the AI Simulation compared to conventional one, as they can reflect on their design and develop them according to the simulation results more effectively and holistically. Future studies regarding the use of AI in other design stages could be done as a follow-up to ensure the creativity of architectural design thinking.
Front Matter of JARINA Vol.3 No.2, 2024 Satwiko, Prasasto
Journal of Artificial Intelligence in Architecture Vol. 3 No. 2 (2024): Artificial Intelligence for Architectural Alchemy: Fusing Human Creativity and
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Page 7 of 8 | Total Record : 75

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