Pengembangan Learning Management System Berbasis Web Terintegrasi AI untuk Pendidikan Matematika

Ryan Hidayatullah Agusti, Sabaruddin Sabaruddin, Ariyani Muljo, Marzuki Marzuki

Abstract


This study aims to develop a web-based Learning Management System (LMS) integrated with artificial intelligence (AI) to support mathematics education. The study employed the Design and Development Research (DDR) method, which involved system design, development, and functional testing. Matiku LMS was developed using ReactJS, Vite, TypeScript, Supabase, and the Gemini API. The system features include learning material and assignment management, digital assessment, learning analytics, AI-based learning recommendations, an AI-powered mathematics assistant, and GeoGebra 2D and 3D integration for mathematical visualization. Functional testing results indicated that the tested features operated according to the established indicators and specifications in a localhost environment. These findings demonstrate the system’s initial functional feasibility but do not establish its effectiveness in improving mathematics teaching or learning outcomes. Further evaluation is required to assess usability, system security, AI accuracy, and implementation by teachers and students in authentic learning environments.
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Keyword: Learning Management System, Artificial Intelligence, Mathematics Education, GeoGebra, Personalized Learning


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References


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DOI: https://doi.org/10.31932/j-pimat.v8i2.7616

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