Authors :
Edjay Caparos; Cedie Gabriel; Reginald Prudente; Remia Romero
Volume/Issue :
Volume 10 - 2025, Issue 5 - May
Google Scholar :
https://tinyurl.com/fwyh38ew
DOI :
https://doi.org/10.38124/ijisrt/25may851
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This study presents the development and evaluation of a cloud-based property management system (PMS)
designed to enhance operational efficiency, data security, and tenant satisfaction for real estate businesses in Region XII,
Philippines. Using a descriptive research design and Likert-scale survey data from JC Hotel and Convention Center staff,
the system was assessed across four dimensions: usability, security, operational efficiency, and tenant experience. Results
showed consistent positive ratings, with security (mean = 3.50) as the highest-performing factor. Key system features include
automated billing, secure access controls, and realtime tenant communication. The findings confirm the potential of cloud-
based PMS as a scalable, cost-effective solution that addresses traditional inefficiencies while meeting cybersecurity
standards.
Keywords :
Cloud Computing, Property Management System, Real Estate Technology, Cybersecurity, Operational Efficiency, Tenant Experience, System Usability, Data Privacy, Region XII, Cloud-Based Solutions.
References :
- Garuba, M., Patton, M., & Abdelmoti, M. (2022). Implementing Zero Trust in Cloud Environments. IEEE Security & Privacy, 20(5), 22-29.
- Kumar, R., & Patel, D. (2022). Privacy-Enhancing Technologies for Secure Data Analytics. Journal of Privacy and Security Studies, 14(1), 34-49.
- Mollah, M. B., Azad, M. A. K., & Vasilakos, A. V. (2021). Blockchain for Future Cloud Security: State-of-the-Art and Future Directions. IEEE Communications Surveys & Tutorials, 23(3), 106-129.
- Nguyen, C. T., Lin, Y. D., & Lin, P. C. (2022). AI in Cybersecurity: Applications and Challenges. Computers & Security, 120, 102802.
- Palmer, J., Smith, K., & Brown, L. (2023). Best Practices in Cloud Security Posture Management. Cloud Computing Journal, 15(2), 89-102.
- Smith, A., & Lee, P. (2021). AI-Powered Compliance Management in Cloud Environments. Journal of Compliance and Risk Management, 18(4), 45-62.
This study presents the development and evaluation of a cloud-based property management system (PMS)
designed to enhance operational efficiency, data security, and tenant satisfaction for real estate businesses in Region XII,
Philippines. Using a descriptive research design and Likert-scale survey data from JC Hotel and Convention Center staff,
the system was assessed across four dimensions: usability, security, operational efficiency, and tenant experience. Results
showed consistent positive ratings, with security (mean = 3.50) as the highest-performing factor. Key system features include
automated billing, secure access controls, and realtime tenant communication. The findings confirm the potential of cloud-
based PMS as a scalable, cost-effective solution that addresses traditional inefficiencies while meeting cybersecurity
standards.
Keywords :
Cloud Computing, Property Management System, Real Estate Technology, Cybersecurity, Operational Efficiency, Tenant Experience, System Usability, Data Privacy, Region XII, Cloud-Based Solutions.