Development of framework for integrated car rental management system / Stanley C. Ejena.

By:

Ejeka, Stanley C [author.]

Material type: Text

TextPublication details: Manila : Technological University of the Philippines, 2022.Description: viii, 176 pages : color illustrations ; 29 cm. + 1 CDROM (4 3/4 in)Content type:

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LOC classification:

THE QA 76.15 E34 2022

Dissertation note: College of Industrial Technology. -- Master of Information Technology : Technological University of the Philippines, 2022. Summary: The purpose of this research is to help car rental service providers and individuals who wants to rent a car by displaying information about the car rental. This research phase was implemented using Google Cloud Platform for map services by utilizing the Global Positioning System, Google firebase for security, real time and storage. Users can download applications through the Google Play Store. This research makes it more convenient for clients or customers to use the application easily in their comfort zone. The impact of this research is to facilitate the individuals in finding car rental. The system features included a website which serves as a webserver, mobile application which consist of both the client and administrator, registration process, mobile authentication, vehicle display, booking process, payment process, Global positioning system tracking, chatting and system management. The system was able to manage user registration, verified mobile number with authentication, users can login, update profiles, view available vehicles, book a car, use the different payment methods and make inquiries. The Global positioning system is for locating the vehicle, managing of bookings and system modifications. The Rapid Application Development methodology is used to develop the system within 5 months. The system was developed using PHP, HTML, CSS, JavaScript,Java, Firebase and google map api and SQL. Black-box testing yielded 100% passing resultson all quality iterations. The system successfully passed evaluation based on criteria described in ISO/IEC 25010 software quality models to be excellent with an overall mean rating of 4.61.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Master's Thesis	TUP Manila Library	Thesis Section-2nd floor	THE QA 76.15 E34 2022 (Browse shelf(Opens below))	1	Not for loan		THE0004952
Master's Thesis	TUP Manila Library	Thesis Section-2nd floor	THE QA 76.15 E34 2022 (Browse shelf(Opens below))	2	Not for loan		THE0005026

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Master's thesis.

College of Industrial Technology. -- Master of Information Technology : Technological University of the Philippines, 2022.

Includes bibliography.

The purpose of this research is to help car rental service providers and individuals who wants to rent a car by displaying information about the car rental. This research phase was implemented using Google Cloud Platform for map services by utilizing the Global Positioning System, Google firebase for security, real time and storage. Users can download applications through the Google Play Store. This research makes it more convenient for clients or customers to use the application easily in their comfort zone. The impact of this research is to facilitate the individuals in finding car rental. The system features included a website which serves as a webserver, mobile application which consist of both the client and administrator, registration process, mobile authentication, vehicle display, booking process, payment process, Global positioning system tracking, chatting and system management. The system was able to manage user registration, verified mobile number with authentication, users can login, update profiles, view available vehicles, book a car, use the different payment methods and make inquiries. The Global positioning system is for locating the vehicle, managing of bookings and system modifications. The Rapid Application Development methodology is used to develop the system within 5 months. The system was developed using PHP, HTML, CSS, JavaScript,Java, Firebase and google map api and SQL. Black-box testing yielded 100% passing resultson all quality iterations. The system successfully passed evaluation based on criteria described in ISO/IEC 25010 software quality models to be excellent with an overall mean rating of 4.61.

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