An Investigation of Designing a Web-Based Real Estate Services Management System

Abstract

This study aims to design a real estate services management system that replaces traditional methods and keeps up with modern technological advances. It also seeks to save time and effort, quickly and easily meet beneficiaries' needs, and access information about various real estate properties. The research involved a mix of literature review, surveys, interviews, and prototype development. The literature review provided insights into existing property management systems and industry best practices. Surveys and interviews collected user requirements, preferences, and pain points. A web-based system prototype was developed and tested to verify its usability and functionality. Additionally, this study used an applied analytical approach, employing Unified Modeling Language (UML) to analyze traditional real estate marketing. To build the new website, programming languages like PHP, HTML, CSS, and JavaScript were used through Visual Studio Code. The agile methodology was chosen to complete the project. For designing interfaces and programming the system, Google Maps served as a map server and reference, linked to a MySQL database. The result is a real estate services website that offers solutions for industry professionals and provides customers with services such as buying, selling, and renting buildings or land. The site uses GPS technology to display properties on a map, making it easier for customers to access the website directly. In conclusion, this study found that a web-based real estate system is a comprehensive software solution designed to streamline and automate various property management tasks. It features a user-friendly interface, efficient data management, and better communication between property owners, tenants, and managers. Overall, the study demonstrates that the developed real estate management system effectively addresses the need for an efficient and user-friendly platform by automating core processes and providing customized features for both buyers and sellers.