TouriStop : Travel Guide Mobile Application for Tourists Visiting the Philippines / Roxanne Danielle F. Arbues, Alliah Dana P. Catuncan, John Allen R. Delos Reyes, Clea Bernadette D. Payra.
Material type:
TextManila : Technological University of the Philippines, 2022Description: xii, 128 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)Content type: - text
- unmediated
- volume
- BTH T 58.5 A73 2022
| Item type | Current library | Shelving location | Call number | Copy number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|---|---|
Bachelor's Thesis COS
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TUP Manila Library | Thesis Section-2nd floor | BTH T 58.5 A73 2022 (Browse shelf(Opens below)) | c.1 | Not for loan | For Room Use Only | BTH0003450 |
Thesis (Undergraduate)
College of Science --
Bachelor of Science in Information Technology, Technological University of the Philippines,
2022.
Includes bibliographical references.
The project study developed the TouriStop: Travel Guide Mobile Application for Tourists Visiting the Philippines to provide a mobile application platform for the local and foreign tourists. The system includes features such as detecting and pinning current location, allowing to enter the date range, selecting preferred tourist attractions, creating a list of open tourist attractions, displaying and monitoring Covid risk level, displaying information and guidelines about the tourist attractions, and generating an itinerary and schedule. The system uses a graphical user interface to display all the functions to access the systems' features. The system was developed using Visual Studio as the IDE, React Native as the programming language, and Firebase technologies for authentication and database. The Agile Methodology was used for system software development. All required features signified functionality and reliability based on hot path and negative testing incorporated in the test cases executed for two cycles in a live environment. Using the ISO 25010:2011 software quality model, 30 respondents rated the system as "Very Acceptable" with a grand weighted mean of 3.52. This indicates that the system can be a precise and dependable instrument for planning an itinerary.--Author's Abstract
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