UNIQUE: A UNIVERSITY QUERY CHATBOT SYSTEM FOR CLIENT ASSISTANCE AT BATANGAS STATE UNIVERSITY ARASOF-NASUGBU

by Mr. Randy Dasal Feliciano • 2024

The UniQue: A University Query Chatbot System was developed to address the inefficiencies in handling client inquiries at Batangas State University ARASOF- Nasugbu. Traditional methods, like phone calls, emails, and in-person visits, often caused delays, inaccurate information, and inconsistent responses, making it hard for clients to receive timely assistance. The chatbot utilized natural language processing and machine learning to provide fast, accurate, and consistent answers. It was developed using Agile methodology, allowing continuous improvement through regular feedback from stakeholders. The system was designed to make inquiry handling more efficient, reduce response times, and ensure consistent information, especially for admissions and enrollment. Surveys and interviews identified challenges in which clients experience when inquiring, which the chatbot effectively addressed. Users found the system easy to use, well-designed, scalable, and able to understand and respond to a variety of queries accurately. By solving issues like delays and inconsistent responses, the chatbot proved to be a reliable tool for providing efficient and accessible support. These results show the chatbot’s potential to improve client satisfaction and provide a more effective client assistance within the university.

Batangas State University ARASOF-Nasugbu Hostel Reservation System

by James F. Izar • 2025

Efficient reservation management plays a crucial role in optimizing operations and enhancing user experience in hospitality services. However, the Batangas State University ARASOF-Nasugbu Hostel relied on a manual booking system, leading to scheduling conflicts, delays, and administrative inefficiencies. This study aimed to develop a web-based reservation system that automates the booking process, provides real-time availability updates, and streamlines event scheduling. The Agile methodology and descriptive-developmental research approach were applied throughout the system development. Initially, the researchers identified key challenges in the hostel’s manual process, revealing that double bookings, lack of real-time updates, and difficulty in managing reservations were the primary issues. To address this, the system was designed and developed with key features, including automated booking requests, an administrative dashboard, and notification alerts. Following development, the system underwent evaluation to determine its effectiveness in addressing the identified problems. Results showed high satisfaction and acceptance from university personnel, students, and external guests, affirming that the system significantly improved efficiency, accuracy, and user convenience. The findings conclude that automating the reservation process enhances operational management, minimizes booking errors, and elevates overall service quality. Future recommendations include expanding system functionalities to further optimize user experience and administrative control.