In response to the rapid growth of e-commerce and improvements in supply chain management, there is a pressing need for highly efficient property management system. This study presents the creation and evaluation of an advanced Property Management System (PMS) designed to address property and accommodation challenges and meet the needs of the property owners, managers, and clients specifically in Siargao Island, Philippines, which is considered as one of the world’s most popular tourist destinations. The PMS features a robust database for managing property, tenant, and invoice information, and includes essential functionalities such as property search, online payment processing, maintenance request management, lease management, and data analytics. The system development process utilized the Unified Process for ObjectOriented Analysis and Design and carefully detailing the system’s technical architecture, security and privacy protocols, as the PMS deals with sensitive information pertaining to properties and payments. The end-users and IT Experts evaluated the system through an online questionnaire using Google Form. The results showed an overall mean rating of 4.52, indicating a high level of satisfaction and compliance with ISO/IEC 25010 Software Quality Standards. Specifically, an average mean results of 4.48 for functional suitability, 4.54 for performance efficiency, 4.49 for compatibility, 4.62 for usability, 4.45 for reliability, and 4.53 for security shows that the developed system met the user requirements. With the developed PMS, the property owners can register and display properties, tenants benefit from an intuitive search interface, and property managers can efficiently handle requests and maintenance. The study offers valuable insights for developers and professionals aiming to create a comprehensive PMS, aligning the system with global trends in smart property management. These innovations will make the PMS highly competitive and better equipped to address the evolving needs of stakeholders in the modern real estate industry.
Primary Language | English |
---|---|
Subjects | Computer Software |
Journal Section | Articles |
Authors | |
Early Pub Date | July 1, 2025 |
Publication Date | |
Submission Date | January 14, 2025 |
Acceptance Date | February 21, 2025 |
Published in Issue | Year 2025Volume: 33 |