Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)

Introduction of Artificial Intelligence-Based Traditional Fishing Vessel Innovation to Increase Fish Catch Results in Brondong Lamongan East Java

Authors
Rikky Leonard1, *, Dimas Pristovani Riananda2, Imaniah Sriwijayasih1, Eky Novianarenti3, Alvalo Toto Wibowo1, Septaviola Dini Utami1, Prativi Khilyatul Aulia1, Dwitha Nirmala4
1Shipbuilding Engineering Department, Politeknik Perkapalan Negeri Surabaya, Surabaya, Indonesia
2Marine Electrical Engineering Department, Politeknik Perkapalan Negeri Surabaya, Surabaya, Indonesia
3Shipmachinery Engineering Department, Politeknik Perkapalan Negeri Surabaya, Surabaya, Indonesia
4Department of Marine, Faculty of Fisheries and Marine, Universitas Airlangga, Jl. Mulyorejo, Surabaya, East Java, 60115, Indonesia
*Corresponding author. Email: rikkyleonard@ppns.ac.id
Corresponding Author
Rikky Leonard
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-926-1_39How to use a DOI?
Keywords
Artificial Intelligence; Fishing; Innovation; Traditional Fishing Boats
Abstract

Brondong Lamongan Village has fisheries potential with an area of 15,000 ha. The percentage of the population who work as fishermen is 19,881 people or 26% of the total 76,485 people or 100%. This indicates that the majority of the Brondong Lamongan Community work as fishermen. However, the fishing methods used are still traditional, which causes the fishing process to be inefficient. This research is considered very important to help fishermen catch fish in a modern way based on artificial intelligence. This activity was carried out by lecturers and students of the Surabaya State Shipping Polytechnic to make fish catches more efficient in Brondong Lamongan Fishermen by utilizing artificial intelligence-based technology for 41 participants who are members of Brondong Lamongan Fishermen. Mentoring and monitoring were also carried out to ensure the success of the activities for the participants. Based on the initial questionnaire, it was found that 87.8% of participants gained insight into the challenges and expectations of technology that can help work at sea as fishermen. The next questionnaire showed that 54% of participants accepted and adapted to new technology, 66% of participants received training in both technical and operational aspects and 63% of participants understood the impact and sustainability of artificial intelligence innovation. In conclusion, this activity has succeeded in providing comprehensive insight into the introduction of traditional ship innovations based on artificial intelligence and mentoring during the process of learning the technical and operational aspects. This can trigger enthusiasm and have a sustainable impact on Brondong Lamongan Fishermen.

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 Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-926-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-926-1_39How 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

TY  - CONF
AU  - Rikky Leonard
AU  - Dimas Pristovani Riananda
AU  - Imaniah Sriwijayasih
AU  - Eky Novianarenti
AU  - Alvalo Toto Wibowo
AU  - Septaviola Dini Utami
AU  - Prativi Khilyatul Aulia
AU  - Dwitha Nirmala
PY  - 2025
DA  - 2025/12/31
TI  - Introduction of Artificial Intelligence-Based Traditional Fishing Vessel Innovation to Increase Fish Catch Results in Brondong Lamongan East Java
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
PB  - Atlantis Press
SP  - 343
EP  - 349
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-926-1_39
DO  - 10.2991/978-94-6463-926-1_39
ID  - Leonard2025
ER  -