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Nimas Sekarlangit
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jarinauajy@gmail.com
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+62274487711
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jarina@uajy.ac.id
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Gedung Thomas Aquinas Jl. Babarsari No.44, Caturtunggal, Kec. Depok, Sleman, Yogyakarta 55281
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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
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Front Matter of JARINA Vol.2 No.1, 2023: Front Matter Prasasto Satwiko
Journal of Artificial Intelligence in Architecture Vol. 2 No. 1 (2023): Artificial Intelligence for Design, Sustainability, and Mental Health: Explorin
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Back Matter of Jarina Vol. 2 No.1 ,2023: Back Matter Prasasto Satwiko
Journal of Artificial Intelligence in Architecture Vol. 2 No. 1 (2023): Artificial Intelligence for Design, Sustainability, and Mental Health: Explorin
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Utilizing the Use of Google Trends to Discover The Architectural Attractiveness of a Place in Indonesia Onie Dian Sanitha; Novera Kristianti; Theo Fransisco; Yunida Iashania
Journal of Artificial Intelligence in Architecture Vol. 2 No. 2 (2023): Artificial Intelligence for Enhancing Building Performance, Design, and Analysi
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v2i2.7483

Abstract

A person's memory of the image of a place is powerful, which is influenced by a uniqueness supported by continuity of information. Every visitor's image will be very subjectively evaluated through the internet information media. The challenge lies in subjective perception through internet media information which only sometimes leads to real quality due to perceptions formed from the continuity of information received. A shift in meaning allegedly led to a phenomenon of similar motivation between video game users and traveling for healing purposes. From the perspective of a Google search, the word "traveling" refers to buildings and places with ecological and natural concepts. Meanwhile, video games also offer a natural concept but are more competitive. Using Google Trends, this study attempts to formulate city popularity data using the keyword "traveling." Natural Ecology is the highest choice for social media users, and "healing" is the primary motivation. The value of natural architectural instruments can be a focus to support a sustainable development process for a place based on the popularity of today's needs.
A Review Using Artificial Intelligence-Generating Images: Exploring Material Ideas from MidJourney to Improve Vernacular Designs Stephen Tanugraha
Journal of Artificial Intelligence in Architecture Vol. 2 No. 2 (2023): Artificial Intelligence for Enhancing Building Performance, Design, and Analysi
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v2i2.7537

Abstract

Artificial Intelligence (AI) was created to be an assistant to humankind. The architectural design process is one of them.   Artificial Intelligence is starting to enter the realm of architecture and design. Lately, teams have developed many AI algorithms to generate random images based on the database they had just by texting a command for them. MidJourney is a discord-based Artificial Intelligence for generating images with the text-to-images method, and its database is infinite; it can suggest incredible things. Architects can use MidJourney as a design ideas generator with specific commands.  MidJourney, one of the AI pioneers in the design world, still has many shortcomings and limitations. Incorrect details and forms are one of its limitations. This exploration using AI should be deepened as part of MidJourney development. This study aims to discover how far researchers have done the command prompt in exploring MidJourney in architecture. This research can be the basis for further research in developing the text-to-image Artificial Intelligence Generator results. This paper uses a systematic literature review method on journals, books, and websites linked with Artificial Intelligence, architecture, and texture selection for building. The systematic literature review involves collecting questions, identifying keywords, screening articles, analyzing, discussing, and concluding.                    The results explain the role of Artificial Intelligence in architectural design. MidJourney can choose the proper material for its innovations by generating concept ideas. However, MidJourney has yet to be able to implement the logic of structures and buildings in its design even though it has used architecture-related prompts, perhaps because it was not specifically designed to produce architectural drawings but graphic design only. The challenge is based on the user defining the limitation and the main ideas for generating Artificial Intelligence.
Front Matter of JARINA Vol.2 No.2, 2023: Front Matter Prasasto Satwiko
Journal of Artificial Intelligence in Architecture Vol. 2 No. 2 (2023): Artificial Intelligence for Enhancing Building Performance, Design, and Analysi
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Back Matter of Jarina Vol. 2 No.2 ,2023: Back Matter Prasasto Satwiko
Journal of Artificial Intelligence in Architecture Vol. 2 No. 2 (2023): Artificial Intelligence for Enhancing Building Performance, Design, and Analysi
Publisher : Universitas Atma Jaya Yogyakarta

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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.

Page 3 of 8 | Total Record : 75

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