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

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A Flutter-Based Restaurant Recommendation System in Nusa Dua Using the SAW Method

Authors
Luh Gede Putri Suardani1, *, I Wayan Raka Ardana2, I Nyoman Rai Widartha Kesuma1
1Information Technology Department, Politeknik Negeri Bali, Bali, Indonesia
2Electrical Engineering Department, Politeknik Negeri Bali, Bali, Indonesia
*Corresponding author. Email: putrisuardani@pnb.ac.id
Corresponding Author
Luh Gede Putri Suardani
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-878-3_51How to use a DOI?
Keywords
Flutter; Recommendation System; SAW Method
Abstract

Culinary tourism plays a significant role in enhancing the travel experience of visitors. In Nusa Dua, Bali, the large influx of both domestic and international tourists has led to an increase in dining establishments, making the process of selecting a restaurant more challenging. This study presents the development of a mobile-based restaurant recommendation system using the Simple Additive Weighting (SAW) method, implemented with the Flutter framework. SAW is chosen for its simplicity, efficiency, and suitability in multi-criteria decision-making, incorporating user-defined factors such as location, price, food category, and rating. Flutter was selected due to its capability to deliver high-performance cross-platform applications with an intuitive user interface. The results of this research include a functional prototype application, a scientific publication, and an intellectual property claim in the form of copyright. The system aims to assist tourists in finding suitable restaurants aligned with their preferences, while also supporting the visibility of local culinary businesses in Nusa Dua.

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 - Engineering Applied Science 2025 (ICOSTAS-EAS 2025)
Series
Advances in Engineering Research
Publication Date
31 October 2025
ISBN
978-94-6463-878-3
ISSN
2352-5401
DOI
10.2991/978-94-6463-878-3_51How 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  - Luh Gede Putri Suardani
AU  - I Wayan Raka Ardana
AU  - I Nyoman Rai Widartha Kesuma
PY  - 2025
DA  - 2025/10/31
TI  - A Flutter-Based Restaurant Recommendation System in Nusa Dua Using the SAW Method
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2025 (ICOSTAS-EAS 2025)
PB  - Atlantis Press
SP  - 459
EP  - 467
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-878-3_51
DO  - 10.2991/978-94-6463-878-3_51
ID  - Suardani2025
ER  -