GREARN.A.I. (Green Learn With Artificial Intelligence): Smart Greenhouse Berbasis Kecerdasan Buatan Untuk Pembelajaran Interaktif
Keywords:
Smart Greenhouse, Artificial Intelligence (AI), Internet of Things (IoT), Pertanian Presisi, Efisiensi Air, Pembelajaran InteraktifAbstract
Perkembangan teknologi Artificial Intelligence (AI) dan Internet of Things (IoT) telah mendorong inovasi signifikan dalam bidang pertanian presisi, termasuk pengembangan smart greenhouse berbasis sistem otonom dan prediktif. Penelitian ini mengusulkan dan mengimplementasikan Grearn.A.I. (Green Learn with Artificial Intelligence), yaitu rumah kaca cerdas yang mengintegrasikan sensor lingkungan, sistem aktuator otomatis, dan modul analisis visual berbasis kecerdasan buatan sebagai media pembelajaran interaktif sekaligus sistem pertanian berkelanjutan. Sistem dibangun menggunakan mikrokontroler ESP32-S3 yang mengendalikan sensor suhu, kelembapan tanah, intensitas cahaya, pH, dan level air, serta aktuator berupa pompa air, kipas, mist maker, dan servo atap otomatis. Hasil pengujian menunjukkan bahwa Grearn.A.I. mampu menjaga stabilitas mikroklimat (25–30 °C; 60–75% RH) dengan respons terhadap stres lingkungan dalam 3–5 detik dan meningkatkan efisiensi penggunaan air hingga 50% dibandingkan irigasi manual. Selain itu, indikator fisiologis tanaman seperti Fv/Fm dan Soil Water Content (SWC) menunjukkan pertumbuhan lebih optimal dan deteksi dini stres kekeringan pada tanaman uji. Dengan demikian, Grearn.A.I. tidak hanya meningkatkan efisiensi pertanian, tetapi juga berpotensi menjadi sarana edukatif berbasis teknologi untuk literasi AI, IoT, dan pertanian presisi menuju pengembangan inovasi hijau berkelanjutan
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