<![CDATA[ABSTRACT The background of this research is the need for an online learning system that can adjust materials, activities, and learning recommendations according to the characteristics, learning styles, and levels of individual mastery, encouraging the development of an Artificial Intelligence (AI) integration prototype in a Learning Management System (LMS) to support personalization of student learning. This research develops an Artificial Intelligence (AI) Integration Prototype in a Learning Management System (LMS) to support personalization of student learning. The goal is to design and test an adaptive AI-based LMS prototype, so as to increase the effectiveness, efficiency, and engagement of students in the learning process. The research uses the Research and Development (R&D) method with Lee & Owen, including the Assessment/Analysis, Design, Development and Implementation stages (designing flowcharts and making storyboards), and Evaluation. The trial results indicate that the prototype is feasible to be developed, for the aspects of objectives, content structure, scope, functionality, and scalability are considered very adequate. The aspects with the highest assessment are considered technical risks and tangible benefits for users, which demonstrates confidence that the Prototype can make a significant contribution to learning effectiveness. It can be concluded that the Prototype has met the design and implementation feasibility standards, but it needs improvements in the aspects of security, privacy, and technical performance to support personalized learning in a more optimal, sustainable manner, and in accordance with education and data protection regulations. Keywords: AI (Artificial Intelligent), LMS (Learning management system), personalization of learning, prototipe ABSTRAK Latar belakang penelitian ini berangkat dari kebutuhan akan sistem pembelajaran daring yang mampu menyesuaikan materi, aktivitas, dan rekomendasi belajar sesuai karakteristik, gaya belajar, serta tingkat penguasaan individu mendorong pengembangan prototipe integrasi Artificial Intelligence (AI) dalam Learning Management System (LMS) untuk mendukung personalisasi pembelajaran mahasiswa. Penelitian ini mengembangkan Prototipe Integrasi Artificial Intelligence (AI) dalam Learning Management System (LMS) untuk mendukung personalisasi pembelajaran mahasiswa. Tujuannya adalah merancang dan menguji prototipe LMS berbasis AI yang adaptif, sehingga mampu meningkatkan efektivitas, efisiensi, dan keterlibatan mahasiswa dalam proses belajar. Penelitian menggunakan metode Research and Development (R&D) dengan Lee & Owen, meliputi tahap Asessment/Analysis, Desain, Pengembangan dan Implementasi (merancang flowchart dan membuat storyboard), Evaluasi. Hasil uji coba menunjukkan bahwa prototipe layak dikembangkan, untuk aspek tujuan, struktur konten, ruang lingkup, fungsionalitas, serta skalabilitas dinilai sangat memadai. Aspek dengan penilaian ternaik adalah risiko teknis yang dipertimbangkan dan manfaat nyata bagi pengguna, yang memperlihatkan keyakinan bahwa Prototipe dapat memberikan kontribusi signifikan bagi efektivitas pembelajaran. Dapat disimpulkan bahwa Prototipe telah memenuhi standar kelayakan desain dan implementasi, namun perlu penyempurnaan pada aspek keamanan, privasi, dan performa teknis agar dapat mendukung personalisasi pembelajaran secara lebih optimal, berkelanjutan, dan sesuai dengan regulasi pendidikan maupun perlindungan data. Kata Kunci: AI (kecerdasan buatan), LMS (Learning manajement event), personalisasi pembelajaran, prototipe]]>
