<![CDATA[This study addresses the limited efficiency of public information services in vocational schools, which often results in delayed responses and repetitive administrative workload. This research aims to design and develop a web-based educational chatbot using Natural Language Processing (NLP) to improve information accessibility at SMK Negeri 2 Padang. The system was developed using the Waterfall model and implements text preprocessing, TF-IDF vectorization, and cosine similarity for intent recognition. System evaluation was conducted through Black Box Testing and accuracy measurement based on user queries. The results show that the system achieved a 100% success rate in functional testing and 91% accuracy in intent classification, indicating its effectiveness in providing relevant and real-time information. This study contributes by offering a practical, scalable, and user-friendly NLP-based solution to enhance public information services in educational institutions.]]>
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