Development of a resort management system with chatbot assistance for la palmeraie resort/ Alleyne Grace L. Francisco, Keziah B. Lapinig, Kate Anne Joy Mesias, and Krysstin Dyan M. Nunag.--
Material type:
TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xii, 176pages: 29cmContent type: - BTH T 58.5 F73 2025
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Bachelor's Thesis COS
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TUP Manila Library | Thesis Section-2nd floor | BTH T 58.5 F73 2025 (Browse shelf(Opens below)) | c.1 | Not for loan | BTH0006636 |
Bachelor's thesis
College of Science.--
Bachelor of science in information technology: Technological University of the Philippines,
2025.
Includes bibliographic references and index.
With the growth of resort activities, the Internet has become indispensable in managing
hotel administration and booking. This study focused on designing and implementing a
Resort Management System with Chatbot Assistance tailored for La Palmeraie Resort.
Some operational efficiency enhancements included online reservations and bookings,
email and SMS notifications, payment via GCash submission of QR codes, chatbot
assistance for guests, and an administrative dashboard for sales, inventory, reports,
feedback, and customer relations management. The system was developed using PHP 8.0,
MySQL, Bootstrap, jQuery, and BotMan chatbot framework. The development progress
was based on feedback using the Agile Method. The BotMan chat framework PHP 8.0 was
employed within MySQL alongside Bootstrap and jQuery. XAMPP and Hostinger served
in the deployment and testing phase. Software Quality Assessment was based on ISO
25010 standards. It included functional suitability, performance efficiency, compatibility,
usability, dependability, maintainability, portability, and security, It involved (50) resort
guests, employees, owners, and IT specialists as respondents. Through guided testing, the
system earned a grand weighted mean of 3.55, described as “Highly Acceptable.” The
findings showed that the system efficiently matches user needs and provides a dependable
and user-friendly platform for resort administration.
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