cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nimas Sekarlangit
Contact Email
jarinauajy@gmail.com
Phone
+62274487711
Journal Mail Official
jarina@uajy.ac.id
Editorial Address
Gedung Thomas Aquinas Jl. Babarsari No.44, Caturtunggal, Kec. Depok, Sleman, Yogyakarta 55281
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
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
 4   5   6   7   8 
Text-to-Image Generative Αrtificial Intelligence As Conceptual Mechanism For Architectural Design Socrates Yiannoudes
Journal of Artificial Intelligence in Architecture Vol. 4 No. 2 (2025): Artificial Intelligence for Transformative Architecture: Integrating AR, Comput
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v4i2.10992

Abstract

This study investigates the potential of text-to-image generative AI applications to be used as exploration mechanisms for architectural design rather than mere visualisation tools. We examine whether text-to-image generative AI applications can "understand" architecture's spatial and geometric configuration in meaningful and creative ways. Our experimental method used a series of architectural plans and artistic patterns as image prompts, combined with varied text prompts and parameters to evaluate Midjourney's capacity for geometric and spatial interpretation and creativity. The experiments focused on the application's capacity to (1) generate diagrams from architectural plans, (2) create variations of two-dimensional drawings and patterns, and (3) transform two-dimensional layouts into three-dimensional spaces. Results indicate that Midjourney can generate meaningful abstractions and spatial configurations but struggles with strict spatial fidelity, particularly for asymmetrical or fragmented layouts. The study highlights the significance of short prompts and increased image weight parameters for improving fidelity and structural coherence. While Midjourney exhibits potential as a conceptual tool for highly creative architectural exploration, it lacks the precision required for deterministic spatial manipulation. Dall-E performs significantly better in fidelity and alignment to the original drawing, but further research is needed to determine its potential use as an assistive tool for architectural design. The findings contribute to the discourse on AI-assisted architectural design for creative ideation and suggest further research into the design capacities of other similar models.
The Influence of Inlet and Outlet Ratios on the Performance of Natural Ventilation in Mosque, Indonesia Ahmadi, Imron; Hariyadi, Agus
Journal of Artificial Intelligence in Architecture Vol. 4 No. 2 (2025): Artificial Intelligence for Transformative Architecture: Integrating AR, Comput
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v4i2.11420

Abstract

Natural Ventilation is a sustainable passive strategy for enhancing thermal comfort and reducing energy consumption in buildings with fluctuating occupancy levels, such as mosques. This study investigates the effects of varying inlet-to-outlet opening ratios using different schemes, simulated through Computational Fluid Dynamics (CFD) with the RANS model via OpenFOAM (Butterfly plugin in Grasshopper). Based on urban wind profiles, this research evaluates wind-driven Ventilation under isothermal conditions. The simulation examines five inlet-outlet opening ratios (ranging from 1:1 to 1:5), two inlet configurations (single vs. double), five building lengths (5×10, 10×10, 15×10, 20×10, and 25×10 m), and three building heights (3 m, 4 m, and 5 m). Results indicate that an opening ratio of 1:3 provides the optimal balance between airflow efficiency and thermal stability, particularly concerning solar radiation effects. The single-inlet configuration yields higher air velocity at standing height (1.1 m), whereas the double-inlet setup promotes a more uniform vertical airflow distribution. Increasing building height enhances airflow due to reduced ground-level resistance, while elongated floor plans (over 10 m in length) experience flow stagnation in the central zone. These findings underscore that optimal natural ventilation in mosques depends on opening ratios, spatial proportions, and inlet configurations. Such insights contribute to climate-responsive mosque design, especially in dense urban environments, supporting energy-efficient and comfortable indoor conditions during congregational prayers.
Front Matter of JARINA Vol.4 No.2, 2025 Satwiko, Prasasto
Journal of Artificial Intelligence in Architecture Vol. 4 No. 2 (2025): Artificial Intelligence for Transformative Architecture: Integrating AR, Comput
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Back Matter of JARINA Vol.4 No.2, 2025 Satwiko, Prasasto
Journal of Artificial Intelligence in Architecture Vol. 4 No. 2 (2025): Artificial Intelligence for Transformative Architecture: Integrating AR, Comput
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Introduction and Demo of Virtual Reality Technology to Initiate Active Learning in Architectural Design Ridzqo, Intan Findanavy; Demami, Aliviana
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.v3i1.6988

Abstract

Architectural education is adapting to the demands of efficient, technology-driven practices, with virtual reality (VR) emerging as a critical tool in bridging communication gaps between architects and clients. This study, conducted by lecturers at Institut Teknologi Indonesia, focuses on their experience implementing VR technology in the High-rise Building Technology class. The initiative spans four sequential stages, with the introduction and demo executed hybridly (online and offline). The authors emphasize the importance of knowledge induction and firsthand demonstrations to familiarize students with VR. Notably, external instructors proficient in VR technology participate in the program. Student engagement and enthusiasm are evident, with offline demo attendance surpassing the online VR introduction seminar. The COVID-19 pandemic has affected students' motivation to learn, and the hands-on VR experience is a revitalizing approach. The two-way interaction between instructors and students enhances interest in in-person attendance. The authors advocate for the continued development of this experience in architectural education, promoting an active learning system using VR across various courses. The paper underscores the potential of VR technology to invigorate architectural education and enhance student engagement in the post-pandemic learning landscape.
Optimizing AI's Role in Advancing Interior Design Industry Lesmana, Vania Azalia Audrey; Tina, Antonetta; Retno Yanti, Sugesti
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.v3i2.7908

Abstract

The digital era encourages using artificial intelligence (AI) in various industries, including interior design and architecture. Growth in AI usage is projected to increase by 34% in 2023-2032. AI can improve efficiency, productivity, and decision-making in the design process. With AI, designers can optimise visualisation, space layout, material, and colour selection and predict customer preferences. AI saves time and costs and results in innovative solutions per client requirements. As it evolves, AI improvises technologies to assist designers such as DALL-E, Blender, AI Dungeon, Spline, and CogniCAS. However, the adoption of AI in interior design and business management in Indonesia still needs improvement. This study analysed related articles from 2019 to 2023 using Publish or Perish and VOSviewer visualisation to investigate the optimal utilisation of AI in supporting the interior design process. This research aims to provide practical insights and recommendations for interior designers, students, and practitioners adopting AI solutions to improve performance and competitiveness and develop a standard framework for AI technology platforms.
The Organic Challenge: The Organic Challenge: Cultivating Conscious Design for Biodigital Tectonics within AI’s Prompt-to-Pixel Process Farina Shahid
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.v3i1.8157

Abstract

The fusion of digital advancements and biological systems is transforming modern-day architecture, and this bio-digital approach, when paired with AI image generation models, promises novel design possibilities. The major drawback of this merger is the dismal performance of AI text-to-image models in translating organic tectonic details into architecture. This study examines the complexity of processes, materials, and techniques necessary in a bio-digital architectural approach. Through a series of digital trials, it identifies the need for sophisticated computational models that can capture the complex intricacies and subtle nuances present in living organisms. Before the testing, a set of parameters considered the limitation of how much tectonic information an image could portray. The Nautilus Shell, ferns, mushrooms, seahorses, and grasshoppers were taken as inspiration models because of varying biological configurations. Next, two AI image-generating tools, Midjourney and Stable Diffusion, were used with three different prompt types, each with varying degrees of complexity drawn from five organic systems. A critical analysis of AI-generated images led to the conclusion that, despite AI's exceptional abilities in creating visual content, the complex comprehension of biological systems and their conversion into architectural designs faced significant challenges.
Evaluation of Emergency Access Evacuation Routes Using Agent-Based Model Application Muttaqien, Irfan Yusuf; Tanugraha, Stephen; Puspitaningrum, Julia Eka; Manik, Hansen Abdi Wibisono
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.v3i2.8308

Abstract

One vital component in managing buildings, such as houses or buildings, is the implementation of safety measures against disaster risks. Artificial Intelligence (AI) technology can minimise fire risk in buildings. The integration of AI technology enables early detection, rapid response, and even realistic evacuation simulations to increase the efficiency of security systems and protect against disasters. This research aims to review a program based on Agent-Based Artificial Intelligence called AnyLogic to calculate the efficiency of emergency access evacuation routes. The research uses the journal review method as the primary approach. This method is part of systematic research on certain phenomena and collects data from related journal sources. This research concludes that AnyLogic is crucial in optimising emergency access evacuation strategies in multiple contexts. AnyLogic has the advantage of determining the most efficient evacuation route, determining evacuation time, and being able to evaluate evacuation routes in certain buildings.
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.

Page 6 of 8 | Total Record : 75

 4   5   6   7   8 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 2 (2025): Artificial Intelligence for Transformative Architecture: Integrating AR, Comput Vol. 4 No. 1 (2025): The AI-Driven Evolution: Transforming Architecture, Design, and Urban Spaces th Vol. 3 No. 2 (2024): Artificial Intelligence for Architectural Alchemy: Fusing Human Creativity and Vol. 3 No. 1 (2024): Artificial Intelligence for Architectural Evolution: From Virtual Pedagogy to B Vol. 2 No. 2 (2023): Artificial Intelligence for Enhancing Building Performance, Design, and Analysi Vol. 2 No. 1 (2023): Artificial Intelligence for Design, Sustainability, and Mental Health: Explorin Vol. 1 No. 2 (2022): Artificial Intelligence for Enhancing Architectural Design Vol. 1 No. 1 (2022): Artificial Intelligence for Enhancing Architectural Design