TANONG MO, SAGOT KO: AN INFOASSISTANT FOR GENERAL DE JESUS COLLEGE ONLINE INQUIRIES

Abstract

The continuous influx of student inquiries and the limited capacity of school administrators to respond promptly present a significant administrative challenge for General De Jesus College. In recent years, chatbots have gained popularity across various sectors, including education. These systems, capable of simulating text-based conversations, are increasingly replacing human contact agents in today’s technologically advanced environment. This research aimed to help students receive immediate responses to their inquiries while assisting teachers and administrators in reducing the workload associated with answering repetitive questions. The study employed the Software Development Life Cycle (SDLC) as its design methodology. The initial phase involved feature planning, which included identifying and selecting the questions to be incorporated into the chatbot. This was followed by programming, module installation, and code debugging. A total of ten (10) respondents evaluated the chatbot in terms of accuracy, response speed, and convenience. The Confusion Matrix statistical classification method was used to determine the accuracy of the system. The InfoAssistant successfully responded to all user queries, and all responses were determined to be accurate. In terms of response speed, the system consistently delivered prompt replies, achieving a 100% success rate (n = 10, 100%). Regarding user convenience, five (5) out of ten (10) respondents, or 50%, rated the chatbot’s convenience as 10 on a scale of 1 to 10. Three (3) respondents, or 30%, rated it as 8, while two (2) respondents, or 20%, rated it as 9. The experimental results indicate that the chatbot functions effectively by providing relevant and accurate information based on user queries. The system serves as a reliable and efficient communication tool that facilitates interactive engagement and easy access to school-related information. However, the study recommends further enhancement of the chatbot by incorporating three (3) user protocols to ensure compliance with the Data Privacy Act and by considering the integration of a language translator developed through programming to improve accessibility.