<![CDATA[The development of information technology encourages the government to provide public services that are fast, efficient, and easily accessible. One of the services that requires improved efficiency is the issuance of Driving Licenses at the Traffic Unit of Ternate Police, where information delivery is still carried out manually, often causing long queues and limited service hours. This study aims to implement the Jaro-Winkler Distance algorithm in a Telegram chatbot as an information service system for SIM that can understand user questions even when there are typos or variations in sentence structure. The research methods include data collection, algorithm implementation, and system testing using Black Box Testing to ensure that the chatbot functions according to user needs. The software development method used is prototyping, with a test dataset consisting of 514 questions and answers from the Satlantas Polres Ternate. The implementation results show that the chatbot is able to provide fast and relevant responses with an average response time of 0.8 seconds and a matching accuracy rate of 88.4%. The Black Box testing results also indicate that all main functionalities of the chatbot operate as expected. Thus, the application of the Jaro-Winkler Distance algorithm is effective in improving the chatbot’s accuracy and supporting the digitalization of public services within the police department.]]>
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