Jul 2026· Indonesian Journal of Data and Science· 0 citations
TL;DR
An AI Task Agent system based on a Telegram chatbot, integrated with n8n as a workflow automation platform and Supabase as the database is developed that can improve the effectiveness of students’ task management through more practical, responsive, and structured interactions.
Abstract
Task management is one of the common challenges faced by students when dealing with demanding academic activities and multiple overlapping deadlines. Existing task management applications are generally passive and are not yet capable of providing proactive assistance in determining work priorities. This study aims to develop an AI Task Agent system based on a Telegram chatbot, integrated with n8n as a workflow automation platform and Supabase as the database. The developed system allows users to record tasks with attributes such as task type, description, scheduled time, deadline, urgency level, and the lecturer’s level of strictness. In addition, the system can respond interactively to user commands, display task lists, provide priority recommendations, and send automated reminders. The research employed a system development method consisting of problem identification, requirements analysis, system design, implementation, and testing. The results indicate that the system can improve the effectiveness of students’ task management through more practical, responsive, and structured interactions.
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