<![CDATA[This study aims to develop and implement an academic chatbot based on Flowise and Google Generative AI (Gemini 1.5 Flash) as an information service platform for thesis-related inquiries at the Faculty of Technology, ISTEK Widuri. Previously, academic information services were conducted manually, leading to issues such as delayed responses, high administrative workloads, and inconsistent information. The chatbot was developed using the Waterfall system development model, consisting of requirements analysis, system design, implementation, testing, and user evaluation stages. The system integrates Flowise AI for building interactive conversation flows and Gemini 1.5 Flash as a Large Language Model (LLM) to generate contextual and relevant responses. Black box testing results show that all chatbot functions operated as intended, providing accurate and responsive answers. User evaluations revealed improved information accessibility, faster response times, and higher satisfaction with academic services. The results demonstrate that integrating Flowise and LLM technologies effectively enhances academic service efficiency and can serve as a reference for implementing AI-based systems in higher education institutions.]]>
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