Background: Generation Z is known for its high curiosity,
adventurous spirit, and passion for hobbies such as traveling. Gen Z
individuals often face challenges in travel planning, including suitable
tourist destinations near their location.
Aims: This study aimed to develop Find Your Way, an
iOS-based travel planning application designed to address user needs through
the Agile development approach, with a focus on optimizing multi-destination
routes for more efficient travel planning.
Methodology: This study was conducted in Indonesia over a
five-month period, from December 2024 to April 2025. It applied Agile
methodology, consisting of six iterative phases such as planning, design,
development, testing, deployment, and review, executed over two development
cycles to refine the application based on user feedback. Interviews were conducted
with four participants aged 18–35 to gather functional requirements. The data
were analyzed using thematic analysis to identify key user needs, which guided
the design and implementation of the application using Swift and MVVM Clean
Architecture. A distinctive contribution of this study was the integration of
Particle Swarm Optimization (PSO) for route optimization, enabling more
accurate predictions of both travel time and duration at destinations. The core
features developed included destination recommendations, route management, and
customizable map settings. Testing was performed using blackbox and whitebox
methods, while deployment was conducted via TestFlight with CI/CD integration
through Xcode Cloud. In the review phase, 30 users aged 18–25 completed a User
Acceptance Test (UAT) to evaluate the app’s usability and performance.
Results: The study successfully produced Find Your Way, a
travel planning application tailored to functional requirements identified by
users. Five key features were implemented, including destination information,
location and route recommendations, as well as storage and map display
settings. The application achieved a UAT score of 97.33%, a result that
underscores both the system’s reliability and the practical effectiveness of
combining Agile development with PSO-driven route optimization. Testing
confirmed the application’s functionality and program logic through blackbox
and whitebox methods.
Conclusion: The Find Your Way application was successfully
developed and met user functional requirements. The high UAT score of 97.33%
highlights the practical significance of the application, demonstrating that it
effectively fulfilled its intended purpose while validating the Agile
development approach and the integration of PSO as a distinct optimization
method.
Author(s) Details
Putu Agus Dharma
Kusuma
Department of Informatics, Faculty of Mathematics and Natural Sciences,
Udayana University, Bali, Indonesia.
I Made Widiartha
Department of Informatics, Faculty of Mathematics and Natural Sciences,
Udayana University, Bali, Indonesia.
I Dewa Made Bayu
Atmaja Darmawan
Department of Informatics, Faculty of Mathematics and Natural Sciences,
Udayana University, Bali, Indonesia.
I Wayan Supriana
Department of Informatics, Faculty of Mathematics and Natural Sciences,
Udayana University, Bali, Indonesia.
Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v7/6210
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