Integrasi Teknologi Smart Farming untuk Mitigasi Risiko Gagal Panen pada Lahan Pertanian Skala Kecil
Kata Kunci:
Smart Farming, Internet of Things, Pertanian Digital, Mitigasi Risiko, Gagal Panen, Pertanian Skala Kecil.Abstrak
Perkembangan teknologi digital telah mendorong penerapan Smart Farming sebagai solusi untuk meningkatkan produktivitas dan efisiensi sektor pertanian. Teknologi ini mengintegrasikan Internet of Things (IoT), sensor lingkungan, dan sistem monitoring berbasis data untuk membantu petani mengelola lahan secara lebih efektif. Namun, petani skala kecil masih menghadapi risiko gagal panen akibat perubahan cuaca, kekeringan, kelembapan tanah yang tidak stabil, serta keterbatasan akses informasi mengenai kondisi lahan. Penelitian ini bertujuan untuk mengetahui bagaimana integrasi teknologi Smart Farming dapat digunakan sebagai upaya mitigasi risiko gagal panen pada lahan pertanian skala kecil. Penelitian menggunakan metode kuantitatif dengan pendekatan penelitian terapan. Data diperoleh melalui observasi, studi literatur, dan pengumpulan data sensor yang meliputi suhu udara, kelembapan udara, kelembapan tanah, intensitas cahaya, dan curah hujan. Data dianalisis secara deskriptif untuk mengidentifikasi kondisi lahan dan potensi risiko yang dapat memengaruhi hasil panen. Penelitian menghasilkan rancangan sistem Smart Farming yang mengintegrasikan sensor IoT, basis data, dan dashboard monitoring. Sistem mampu melakukan pemantauan kondisi lahan secara real-time, menampilkan parameter lingkungan secara otomatis, serta menyediakan notifikasi peringatan dini ketika kondisi lahan berada di luar batas optimal pertumbuhan tanaman. Integrasi sistem memungkinkan petani memperoleh informasi yang lebih akurat untuk menentukan tindakan pengelolaan lahan. Integrasi teknologi Smart Farming berpotensi mengurangi risiko gagal panen melalui pemantauan kondisi lahan yang lebih efektif dan pengambilan keputusan berbasis data. Penelitian ini menunjukkan bahwa pemanfaatan teknologi digital dapat mendukung peningkatan produktivitas pertanian skala kecil. Penelitian selanjutnya dapat difokuskan pada implementasi sistem secara langsung di lapangan dan pengembangan model prediksi berbasis kecerdasan buatan untuk meningkatkan akurasi mitigasi risiko.
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Hak Cipta (c) 2026 Achmed Abdillah, Ach. Nur Maulidi (Penulis)
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