000			02665nam a22003137a 4500
003			OSt
005			20250711131638.0
008			250711b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH T 58.5 _bF73 2025
100			_aFrancisco, Alleyne Grace L. _eauthor
245			_aDevelopment of a resort management system with chatbot assistance for la palmeraie resort/ _cAlleyne Grace L. Francisco, Keziah B. Lapinig, Kate Anne Joy Mesias, and Krysstin Dyan M. Nunag.--
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_axii, 176pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Science.-- _bBachelor of science in information technology: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aWith 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.
650			_aChatbot assistance
650			_aInventory reports
650			_aBotMan framework
700			_aLapinig, Keziah B. _eauthor
700			_aMesias, Kate Anne Joy _eauthor
700			_aNunag, Krysstin Dyan M. _eauthor
942			_2lcc _cBTH COS _n0
999			_c30301 _d30301