Chang Gia Soon Southern University College
The property-buying process can often be overwhelming and complex, requiring potential
buyers to analyze factors such as affordability, location, and property features. To address these
challenges, this report presents the Decision-Making System for Property Buying, a web-based
platform designed to simplify and enhance the property-buying experience for users in
Malaysia. The system offers key features tailored to address common challenges faced by
property buyers. It includes an Affordability Calculator Module, which employs both the Debt
Service Ratio (DSR) method and Household Income-Based Loan Calculator to help users
evaluate their financial capacity for property purchases. The Property Comparison Tool enables
users to compare multiple properties side-by-side, analyzing key features such as price, area,
and amenities. The AI Property Assistant (Chatbot) provides real-time support by answering
queries, offering property insights, and performing accurate loan calculations. Additionally,
the Properties You Might Like feature uses a recommendation engine to suggest properties
based on user preferences, simplifying the discovery of suitable options. RENs can submit new
property listings for admin approval, while the admin dashboard facilitates property
management and oversight, ensuring system reliability and operational efficiency. The
development of this system followed the Waterfall Methodology, ensuring a structured
approach to system design, implementation, and testing. Functional testing was conducted to
verify the accuracy of core features, while user acceptance testing (UAT) gathered feedback
on usability and effectiveness. UAT results, based on a 5-point Likert scale, highlighted high
user satisfaction and strong system performance. The system targets property buyers, RENs,
and administrators, aiming to simplify decision-making, enhance property browsing
experiences, and provide robust financial tools. The expected outcomes include increased user
satisfaction, a more informed buying process, and improved efficiency in property management.
In conclusion, the Decision-Making System for Property Buying bridges the gap between
complex property decisions and user-friendly digital solutions, supporting all stakeholders in
achieving their goals efficiently.