Optimasi Konsumsi Air Pada Sistem Irigasi Cerdas Berbasis IoT Menggunakan Algoritma Fuzzy Logic
Kata Kunci:
Internet of Things (IoT), Logika Fuzzy, Irigasi Cerdas, ESP32, Konservasi Air, Komputasi EdgeAbstrak
Efisiensi penggunaan air dalam sektor pertanian menjadi tantangan krusial akibat perubahan iklim, di mana sistem irigasi konvensional sering kali menyebabkan pemborosan sumber daya karena kontrol yang tidak presisi. Penelitian ini bertujuan untuk mengoptimalkan konsumsi air dengan membangun sistem irigasi cerdas yang mampu menyesuaikan durasi penyiraman secara otomatis berdasarkan kondisi lingkungan yang dinamis. Penelitian ini menggunakan metodologi kuantitatif melalui pendekatan eksperimental, dengan merancang perangkat IoT berbasis ESP32 yang terintegrasi dengan algoritma Fuzzy Logic Mamdani sebagai otak pengambil keputusan. Sistem memproses variabel input berupa kelembapan tanah dan suhu udara untuk menentukan durasi kerja pompa air. Hasil pengujian menunjukkan bahwa sistem irigasi berbasis Fuzzy Logic mampu menghemat penggunaan air hingga 35% dibandingkan dengan sistem kontrol on-off konvensional. Data observasi mencatat bahwa sistem berhasil menjaga tingkat kelembapan tanah pada rentang optimal 60%–80% dengan akurasi respons algoritma sebesar 94% terhadap perubahan suhu lingkungan yang fluktuatif. Penelitian ini membuktikan bahwa integrasi algoritma cerdas pada perangkat IoT secara signifikan meningkatkan efisiensi irigasi dan menjaga stabilitas ekosistem tanaman. Hasil ini menjawab kebutuhan akan teknologi pertanian presisi yang hemat energi. Penelitian selanjutnya disarankan untuk mengintegrasikan prediksi cuaca berbasis Machine Learning guna meningkatkan akurasi keputusan irigasi jangka Panjang.
Unduhan
Referensi
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