<![CDATA[Abstrak - Sektor pertanian di Kecamatan Kuta Cot Glie, Kabupaten Aceh Besar, masih sebagian besar bergantung pada tenaga manual, khususnya pada kegiatan penyemprotan lahan, sementara pemanfaatan drone pertanian sebagai alat bantu modern belum diterapkan secara luas karena minimnya media edukasi yang mudah dipahami. Penelitian ini bertujuan untuk merancang media video edukasi drone pertanian berbasis visual realistis dengan memanfaatkan teknologi Generative Artificial Intelligence (Generative AI) sebagai sarana pembelajaran bagi petani. Metode penelitian yang digunakan adalah penelitian pengembangan (Research and Development) dengan pendekatan kualitatif deskriptif, menerapkan enam tahapan Multimedia Development Life Cycle (MDLC), yaitu Concept, Design, Material Collecting, Assembly, Testing, dan Distribution. Pengembangan aset visual, narasi, dan konversi gambar menjadi video dilakukan dengan memanfaatkan teknologi Generative AI, sedangkan penyuntingan akhir dilakukan menggunakan Wondershare Filmora. Pengujian media dilakukan melalui Alpha Testing oleh ahli media dan ahli materi, dilanjutkan dengan Beta Testing kepada kelompok tani di Kecamatan Kuta Cot Glie. Hasil penelitian berupa media video edukasi berbasis visual realistis yang menyajikan pengenalan drone pertanian, fungsi dan manfaat, komponen utama, mekanisme kerja, serta penerapan drone dalam penyemprotan lahan. Berdasarkan hasil pengujian, media dinyatakan layak digunakan sebagai sarana pembelajaran bagi petani dalam memahami pemanfaatan teknologi drone di bidang pertanian. Kata Kunci: Drone Pertanian; Generative AI; Multimedia Development Life Cycle (MDLC); Video Edukasi; Visual Realistis; Abstract - The agricultural sector in Kuta Cot Glie District, Aceh Besar Regency, still relies heavily on manual labor particularly for field spraying while the adoption of agricultural drones as modern tools remains limited due to a lack of easily understandable educational materials. This study aims to design a realistic, visually-oriented educational video about agricultural drones, utilizing Generative AI technology as a learning resource for farmers. The study employs a Research and Development (R&D) method with a qualitative descriptive approach, following the six stages of the Multimedia Development Life Cycle (MDLC): Concept, Design, Material Collection, Assembly, Testing, and Distribution. Generative AI technology was used to develop visual assets and narration and to convert images into video, while final editing was performed using Wondershare Filmora. Testing involved Alpha Testing by media and subject matter experts, followed by Beta Testing with farmer groups in Kuta Cot Glie District. The research resulted in a realistic, visually-oriented educational video covering the introduction of agricultural drones, their functions and benefits, key components, operating mechanisms, and their application in field spraying. Based on the test results, the media is deemed suitable as a learning tool to help farmers understand the use of drone technology in agriculture. Keywords: Agricultural Drones; Educational Video; Generative AI; Multimedia Development Life Cycle (MDLC); Realistic Visuals;]]>
