Pengembangan Chatbot Untuk Layanan Informasi Keanggotaan Guru Metode Support Vector Machine

Authors

  • Nurkholis Setiawan Program Studi Informatika, Fakultas Ilmu Teknik, Universitas Bina Insan
  • Muhamad Akbar Program Studi Informatika, Fakultas Ilmu Teknik, Universitas Bina Insan
  • Andri Anto Tri Susilo Program Studi Informatika, Fakultas Ilmu Teknik, Universitas Bina Insan

Keywords:

chatbot, Natural Language Processing, Support Vector Machine, teacher membership, keanggotaan guru

Abstract

The growth of chat applications like WhatsApp and Telegram drives the development of chatbots to support intelligent interactions between humans and computers. AI-based chatbots help reduce response times and provide access to information anytime. One issue —repetitive questions about teacher membership administration within the PGRI organization of Musi Rawas Regency —can be addressed with an AI-based chatbot. This study aims to develop a chatbot that delivers information and provides accurate responses. The chatbot is designed using the Support Vector Machine (SVM) algorithm and Natural Language Processing (NLP). Test results show the SVM model achieved 83.54% accuracy, 86.09% precision, and 83.54% recall, making it suitable as a chatbot model. Implementation on the WhatsApp platform makes information easier to access. The results show that the chatbot can respond appropriately to user questions, and integration with WhatsApp makes information services more accessible while providing an efficient, responsive solution.

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Published

2025-10-01

Issue

Vol. 16 No. 2 (2025): Jurnal Buana Informatika, Volume 16, Nomor 02, Oktober 2025

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