Smart Agriculture: Integrasi Sensor Dan Data Analytics Dalam Sistem Pertanian Modern
Keywords:
smart agriculture, Internet of Things, data analytics, pertanian presisi, monitoring lingkunganAbstract
Perkembangan teknologi digital mendorong transformasi sektor pertanian menuju sistem yang lebih modern melalui penerapan smart agriculture berbasis sensor dan analisis data. Namun, implementasi teknologi ini masih menghadapi tantangan dalam integrasi sistem dan pemanfaatan data secara optimal. Tujuan: Penelitian ini bertujuan untuk merancang dan mengkaji sistem smart agriculture yang mengintegrasikan sensor dan data analytics guna meningkatkan efisiensi dan efektivitas pengelolaan pertanian. Metode: Penelitian ini menggunakan pendekatan rekayasa sistem dengan metode eksperimental, melibatkan perancangan perangkat keras dan lunak, implementasi sensor berbasis IoT, serta analisis data menggunakan teknik statistik dan machine learning. Hasil: Sistem yang dikembangkan mampu melakukan monitoring real-time terhadap kelembapan tanah, suhu, dan pH dengan interval 10 menit, serta menghasilkan rekomendasi irigasi yang adaptif. Hasil pengujian menunjukkan tingkat akurasi sensor yang baik dengan deviasi rendah serta peningkatan efisiensi penggunaan air berdasarkan kondisi aktual lahan. Kesimpulan: Integrasi sensor dan data analytics terbukti efektif dalam mendukung pengambilan keputusan berbasis data pada sistem pertanian modern. Penelitian ini berhasil mencapai tujuan yang ditetapkan, meskipun masih diperlukan pengembangan lebih lanjut terkait infrastruktur, biaya, dan literasi pengguna untuk implementasi yang lebih luas.
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