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Nimas Sekarlangit
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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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Comparative Perspectives: Exploring Workflow Efficiencies of BIM and CAD in 3D Modelling Wardana, Henricus Arya Wisnu; Maura, Audrey; Suman, Meliana Putri; Jacinda, Steffania
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.v3i1.8321

Abstract

Building Information Modelling (BIM) is a new technology to make genuine project contributions, especially in the industry, architecture, and construction sectors. However, in practice, many professional workforces choose computer-aided design (CAD) as the primary technology, which has formerly appeared and is further comprehensible. Building Information Modelling offered different perspectives on purpose to facilitate designers or architects to expertise in various fields. Building Information Modelling (BIM) contains informative data that can use some expertise as a solution to make the occupation more coherent. This research aims to comprehend the workflow differences between Computer Aided Design (CAD) and Building Information Modelling (BIM) system technology. We collated methods by reviewing some literature and reviewing case studies. Then, we compare the workflow and conclude which is more effective for architectural design. In this research, we explore the difference between BIM's workflow and Cad's workflow to know which is more effective. So, we conclude and can apply the technology appropriately in the workflow needed so that it can simplify the workflow.
Generative Artificial Intelligence to Enhance Architecture Education to Develop Digital Literacy and Holistic Competency Kee, Tris; Kuys, Blair; King, Ronnel
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.v3i1.8347

Abstract

This research investigates the impact of Generative Artificial Intelligence (GenAI) on digital literacy development and holistic competencies in Architecture education. The research design focuses on applying GenAI tools such as ChatGPT, Midjourney, BricsCAD BIM, and VR/AR software and their influence on architectural students' overall competencies. This paper uses a mixed research approach combining a case study of Architecture students' progress in a residential revisitation project, using Midjourney, BricsCAD BIM, and VR/AR software, with an online questionnaire survey administered to 350 undergraduate students at two leading universities in Mainland China and Hong Kong in the 2023-2024 school year. This approach aims to deepen understanding of GenAI's influence on conceptual creativity, initiative, self-management, and stress tolerance within a holistic competency framework. The research results indicate that architecture students frequently use GenAI tools during the design concept stage, suggesting their relevance to specific pedagogy in-studio learning and conceptual creativity. Additionally, the findings reveal a potential correlation between frequent GenAI tool usage, improved time management, and reduced anxiety among Architecture students. The results enhance understanding of digital technology in Architecture education while providing valuable insights for future GenAI implementations. The study highlights the potential benefits of incorporating GenAI, emphasizing their role in fostering creativity, effective time management, and stress tolerance among Architecture students.
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

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.
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

Back Matter of JARINA Vol.3 No.2, 2024 Cininta, Mutiara
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

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