Design and Development of a Web-Based Educational Chatbot Using Natural Language Processing for Public Information Services at SMK Negeri 2 Padang

Rani Nabilla Putri; Elfi Tasrif; Ahmaddul Hadi; Rizkayeni Marta

doi:10.24036/jtip.v19i2.1002

Authors

Rani Nabilla Putri Universitas Negeri Padang
Elfi Tasrif Universitas Negeri Padang
Ahmaddul Hadi Universitas Negeri Padang
Rizkayeni Marta Universitas Negeri Padang

DOI:

https://doi.org/10.24036/jtip.v19i2.1002

Keywords:

Educational Chatbot, Natural Language Processing, Web Application, TF-IDF, Cosine Similarity

Abstract

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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