| Issue |
E3S Web Conf.
Volume 685, 2026
International Seminar on Livable Space (IS-LiVaS 2025)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 11 | |
| Section | Various Dimensions of Livable-Space | |
| DOI | https://doi.org/10.1051/e3sconf/202668503004 | |
| Published online | 14 January 2026 | |
Exploration of artificial intelligence on building facades in the context of Indonesian regionalism
1 Study Program of Architecture, Institut Teknologi Sumatera, South Lampung, Indonesia
2 Department of Architecture, Universitas Atma Jaya Yogyakarta, Yogyakarta, Indonesia
3 Department of Industry Engineering, Universitas Atma Jaya Yogyakarta, Yogyakarta, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The campus facade building should reflect the local cultural and technological character as the basis for the character of a government-owned state institution such as the Sumatra Institute of Technology (ITERA) campus. The most appropriate approach is to display the context of the Indonesian regionalism approach that highlights local wealth that can be combined with new and modern concepts by utilizing artificial intelligence (AI). This study aims to take a regionalism approach to the application of the ITERA campus building facade appearance with the AI method by applying the criteria of Indonesian regionalism in the form of a combination of local materials and new technology, responsive to the local climate, in accordance with tradition, heritage, history, local areas, and can find the meaning of art and culture from the building. The final result obtained is the application of these criteria, including using a combination of local materials with the latest technology, especially the application of materials, openings, and the application of Sumatran cultural traditions through the representation of traditional buildings.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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