Implementation of an AI Agent Chatbot with a Dynamic Knowledge Base from Google Drive for Journal Information Service

Huzain Azis (Universitas Muslim Indonesia)
Randika sakha Ramadani Putra Ahmad (Universitas Muslim Indonesia)
Irawati Syahriawan (Universitas Muslim Indonesia)

Indonesian Journal of Data and Science
Vol. 7 No. 1 (2026): Indonesian Journal of Data and Science

This study presents the implementation of an AI agent chatbot to support journal information services on the Open Journal Systems (OJS) platform and the Telegram messaging application using a dynamic knowledge base sourced from Google Drive. The chatbot provides automated responses to user inquiries related to journal scope, publication fees, submission procedures, and review timelines, while allowing journal administrators to update information content without modifying the system. Functional testing results indicate that the chatbot delivers accurate and consistent information with acceptable response times across both platforms. The implementation demonstrates that integrating an AI agent chatbot with a dynamic knowledge base can enhance information accessibility, reduce administrative workload, and improve service efficiency in academic journal management