Kerangka AI-Driven Dynamic Soil Intelligence untuk Pengelolaan Sumber Daya Alam Berkelanjutan: Studi pada Agroforestri Kayu Ulin (Eusideroxylon zwageri) dan Ekosistem Olahraga
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Abstract
Indonesia memiliki kawasan hutan tropis dengan keanekaragaman hayati tinggi, termasuk kayu ulin (Eusideroxylon zwageri) yang bernilai ekologis dan ekonomis, namun populasinya terus mengalami penurunan akibat eksploitasi yang tidak diimbangi pengelolaan berkelanjutan. Perkembangan Artificial Intelligence (AI), Internet of Things (IoT), remote sensing, dan Geographic Information System (GIS) memberikan peluang untuk meningkatkan efektivitas pengelolaan sumber daya alam melalui sistem cerdas berbasis data. Artikel ini bertujuan mengusulkan kerangka konseptual AI-Driven Dynamic Soil Intelligence yang mengintegrasikan sensor tanah, citra satelit, AI, GIS, dan sistem agroforestri kayu ulin guna mendukung pemantauan kondisi tanah secara real-time, prediksi kesuburan, deteksi risiko degradasi lahan, serta rekomendasi pengelolaan yang adaptif. Kerangka ini juga mengintegrasikan ekosistem olahraga sepak bola sebagai media pengembangan kapasitas sumber daya manusia melalui penguatan kepemimpinan, kolaborasi, disiplin, dan inovasi. Pendekatan multidisiplin tersebut diharapkan mampu meningkatkan produktivitas lahan, memperkuat konservasi kayu ulin, meningkatkan ketahanan ekosistem, serta mendorong sinergi antara transformasi digital, pembangunan sosial, dan keberlanjutan lingkungan. Selain itu, model ini membuka peluang kolaborasi Indonesia–Jepang melalui transfer teknologi, penguatan kapasitas sumber daya manusia, dan pengembangan pertanian modern sebagai bagian dari pengelolaan sumber daya alam yang adaptif dan berkelanjutan.
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