Property listing management platform/ Gwynn R. Cujardo, Cyrus Nathaniel P. Florendo, Jewel Vaida A. Jaime, Aeron Justin C. Quiambao, and Arsenic M. Salangsang.--

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Cujardo, Gwynn R [author]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xi, 183pages: 29cmContent type:

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BTH T 58.5 C85 2025

Dissertation note: College of Science.-- Bachelor of science in information systems: Technological University of the Philippines, 2025. Summary: Lack of a dedicated platform for managing property listings has resulted in inefficiencies in the accomplishment of tasks and communication between developers, brokers, and clients. This paper suggests the creation of a web-based Property Listing Management Platform utilizing Django as the backend, PostgreSQL as the database management system, and Vue.js as the front-end. The system is designed as a business application to facilitate sales and management of any type of property: apartment sections, houses, parking lots, land, and condo units. The main functionalities of the system are effective management of units, reservations, payment plans, customers, and document requirements. The system development follows Agile Scrum, which enables iterative improvement based on user feedback through regular sprints and continuous testing. System evaluation, conducted via 30 respondents and rated against the standards of ISO/IEC 25010, received a score of 3.84 and positioned the platform as Highly Acceptable. The findings are a measure of how effective the system is at enhancing property list management and communication.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH T 58.5 C85 2025 (Browse shelf(Opens below))	c.1	Not for loan		BTH0006622

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Bachelor's thesis

College of Science.--
Bachelor of science in information systems: Technological University of the Philippines,
2025.

Includes bibliographic references and index.

Lack of a dedicated platform for managing property listings has resulted in
inefficiencies in the accomplishment of tasks and communication between developers,
brokers, and clients. This paper suggests the creation of a web-based Property Listing
Management Platform utilizing Django as the backend, PostgreSQL as the database
management system, and Vue.js as the front-end. The system is designed as a business
application to facilitate sales and management of any type of property: apartment sections,
houses, parking lots, land, and condo units. The main functionalities of the system are
effective management of units, reservations, payment plans, customers, and document
requirements. The system development follows Agile Scrum, which enables iterative
improvement based on user feedback through regular sprints and continuous testing.
System evaluation, conducted via 30 respondents and rated against the standards of
ISO/IEC 25010, received a score of 3.84 and positioned the platform as Highly Acceptable.
The findings are a measure of how effective the system is at enhancing property list
management and communication.

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