<![CDATA[Organic chemistry is often taught in abstract concepts, especially on topics related to soil organic matter, nutrient transformation, and the nitrogen cycle. This study aims to develop and validate an IoT-supported Smart Soil Analysis to support contextual STEM-based learning in organic chemistry. This research uses a Research and Development approach with a 4D model, limited to the defining, designing, and developing stages. The prototype was revised based on feedback from six subject matter experts, six media experts, and six evaluation experts prior to limited testing. Validity was measured using the Content Validity Index (CVI), resulting in average CVI scores of 0.88 (content), 0.91 (media), and 0.90 (evaluation), indicating high validity. A limited trial involving nine science education students showed an overall practicality score of 3.6 out of 4.0. This device integrates real-time measurements of soil pH, nitrogen (N), phosphorus (P), potassium (K), and electrical conductivity, allowing students to analyze organic matter decomposition, nutrient availability, and fertilization recommendations within a project-based STEM framework. The research results show that the Smart Soil Analyzer is a valid and practical learning medium that effectively connects organic chemistry concepts with real-world agricultural contexts.]]>
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