<![CDATA[Digital transformation in education has opened opportunities for the use of artificial intelligence (AI) as an interactive and contextual learning medium. However, the implementation of AI in science learning requires a concrete Student Worksheet (LKPD) to bridge digital interaction with classroom practice. This study aimed to develop AI-SNSA (Artificial Intelligence–Smart Nutrition and Science Assistant), realized as an AI-assisted Student Worksheet based on Ngada local wisdom, to synergize nutrition education, the Free Nutritious Meals Program (MBG), and science learning. The study employed a Research and Development (R&D) method using the ADDIE model, comprising the stages of Analysis, Design, Development, Implementation, and Evaluation. The analysis stage identified teacher and student needs, the potential of local food (uwi), Ngada local wisdom values (the Reba tradition), the MBG context, and digital readiness. The design stage produced an interactive Student Worksheet framework structured around problem orientation, investigation of food nutrients, an AI prompting zone, and reflective evaluation. The product was validated by experts in science content, nutrition, media/worksheet design, and local culture. A limited trial was conducted with 2 science teachers and 30 eighth-grade students to measure practicality, usability, and initial user responses. Quantitative data were analyzed descriptively using percentage formulas, while qualitative data were analyzed thematically. The validation results showed an overall feasibility score of 90.6% (Very Feasible), while the practicality test yielded 92.0% from teachers and 86.4% from students (Very Practical), with an overall practicality/usability index of 88.5%. The resulting AI-SNSA Student Worksheet functions as a contextual science learning instrument that connects science concepts, nutrition, local food, Ngada culture, and AI technology.]]>
