Improving University Community Service Communication with Kukerti’s Fuzzy String Matching Chatbot

Efficient communication plays a pivotal role in the success of university community service programs. This study highlights the innovative approach taken by the University of Riau to enhance communication within their community service initiative through the implementation of Kukerti, a cutting-edge chatbot system. Developed specifically for Bahasa Indonesia-speaking users, Kukerti utilizes advanced fuzzy string-matching algorithms to process user inputs and generate relevant responses. In this study, we delve into the deployment and impact of the Kukerti chatbot within the University of Riau’s community service program. We explore its functionality in addressing the common challenge of delayed responses from web administrators, which had previously hindered efficient information retrieval for students and participants. Our research aims to explore how does the implementation of the Kukerti chatbot system with advanced fuzzy string-matching algorithms impact the efficiency of communication and information retrieval within the University of Riau’s community service program. The result shows the implementation of fuzzy string-matching algorithms improves the communication process and the evaluation of the Kukerti chatbot showed that the implementation of fuzzy string-matching has an accuracy rate of 93.33% in providing the answers. By exploring the fuzzy string-matching implementation in the Kukerti chatbot, it is expected to provide further understanding regarding the implementation and encourage other chatbot developers to use it.