Chatbots Implementation for Students Admision

Abstract

The growing need for accessible and responsive information services in higher education has highlighted limitations in traditional admission support systems. This study aims to enhance the new student admission process at Universitas Stikubank through the development and implementation of a chatbot based on the RASA framework. The chatbot addresses several key issues: limited availability of staff, the necessity for 24/7 access to information, and the demand for immediate responses to prospective students’ queries. By simulating human interactions, the chatbot provides real-time, accurate information about university programs, admission requirements, campus facilities, and more. The development process involved data collection through interviews, observations, and literature review, followed by a structured methodology for conversation modeling and system design. Testing results indicate that the chatbot effectively supports the admission process, reducing administrative workload and enhancing the applicant experience by offering uninterrupted service. This study demonstrates the potential of chatbot technology to streamline administrative processes and improve service quality in the educational sector, particularly in university admissions.