Optimizing Boat Rentals and Fishing Activities in Labuhan Amuk, Karangasem, Bali: Key Features for Mobile Applications

This paper investigates the feature requirements of a mobile application aimed at optimizing boat rental and fishing activities while addressing environmental and socio-economic challenges in Labuhan Amuk, Karangasem, Bali. By synthesizing insights from contemporary research, the study identifies core features such as real-time weather updates, GPS navigation, fish stock prediction, resource management, and sustainability reporting. These functionalities are designed to enhance operational efficiency, ensure safety, and promote eco-friendly practices among anglers and fishermen. The proposed features of the application serve as a comprehensive baseline to improve decision-making and foster sustainable fisheries management. The results highlight the potential of integrating these functionalities into a single platform to enhance productivity, ensuring usability and adaptability for diverse fishermen's literacy and needs. Future work will focus on implementation and field testing to validate its impact.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-31
DOI
https://doi.org/10.5281/zenodo.14583895
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Boat Rentals and Fishing Activities in Labuhan Amuk, Karangasem, Bali: Key Features for Mobile Applications

Zenodo (CERN European Organization for Nuclear Research)
Water Quality Monitoring Technologies
article

Optimizing Boat Rentals and Fishing Activities in Labuhan Amuk, Karangasem, Bali: Key Features for Mobile Applications

article en

Abstract

This paper investigates the feature requirements of a mobile application aimed at optimizing boat rental and fishing activities while addressing environmental and socio-economic challenges in Labuhan Amuk, Karangasem, Bali. By synthesizing insights from contemporary research, the study identifies core features such as real-time weather updates, GPS navigation, fish stock prediction, resource management, and sustainability reporting. These functionalities are designed to enhance operational efficiency, ensure safety, and promote eco-friendly practices among anglers and fishermen. The proposed features of the application serve as a comprehensive baseline to improve decision-making and foster sustainable fisheries management. The results highlight the potential of integrating these functionalities into a single platform to enhance productivity, ensuring usability and adaptability for diverse fishermen's literacy and needs. Future work will focus on implementation and field testing to validate its impact.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 69%
Water Quality Monitoring Technologies
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