Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Social Applied Science 2025 (ICOSTAS-SAS 2025)

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Green Artificial Intelligence Analysis for the Sustainability of the Tour and Travel Industry in Bali

Authors
Ngr. Putu Raka Novandra Asta1, *, I Putu Okta Priyana1, Putu Eka Suryadana1
1Digital Business Department, Politeknik Negeri Bali, Bali, Indonesia
*Corresponding author. Email: ngurahputuraka@pnb.ac.id
Corresponding Author
Ngr. Putu Raka Novandra Asta
Available Online 14 November 2025.
DOI
10.2991/978-94-6463-882-0_52How to use a DOI?
Keywords
Bali; Green Artificial Intelligence; Sustainable Tourism; Tour and Travel Industry
Abstract

Tourism serves as the primary economic driver in Bali Province, yet its rapid growth exerts considerable pressure on the environment, infrastructure, and local communities. This study analyzes the potential application of Green Artificial Intelligence (Green AI) as an innovative solution to foster sustainability in Bali’s tour and travel industry. Green AI refers to the environmentally friendly and energy-efficient application of artificial intelligence aimed at reducing ecological impacts. Adopting a qualitative approach through systematic literature review and stakeholder interviews, this research identifies key Green AI applications—low-emission route optimization, AI-based waste management, real-time overtourism control, and energy efficiency in the accommodation sector. Findings indicate that Green AI integration can significantly reduce carbon footprints, enhance operational efficiency, and support sustainable decision-making among tourism stakeholders. Nevertheless, challenges such as limited data availability, uneven digital infrastructure, and low technological awareness remain. The study recommends collaborative efforts between government, industry, and the technology sector to establish an AI-driven green tourism ecosystem in Bali, positioning Green AI as a foundation for developing smart, sustainable, and inclusive tourism.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Social Applied Science 2025 (ICOSTAS-SAS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
14 November 2025
ISBN
978-94-6463-882-0
ISSN
2352-5398
DOI
10.2991/978-94-6463-882-0_52How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ngr. Putu Raka Novandra Asta
AU  - I Putu Okta Priyana
AU  - Putu Eka Suryadana
PY  - 2025
DA  - 2025/11/14
TI  - Green Artificial Intelligence Analysis for the Sustainability of the Tour and Travel Industry in Bali
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Social Applied Science 2025 (ICOSTAS-SAS 2025)
PB  - Atlantis Press
SP  - 459
EP  - 468
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-882-0_52
DO  - 10.2991/978-94-6463-882-0_52
ID  - Asta2025
ER  -