Sistem Pengendalian Suhu Air Nutrisi menggunakan Peltier dan Pemantauan Suhu Greenhouse dengan Metode Korelasi Pearson.

Abstract

Suhu air nutrisi yang tidak stabil dapat menghambat penyerapan nutrisi pada budidaya hidroponik NFT. Penelitian ini membangun sistem pengendalian suhu air nutrisi berbasis IoT menggunakan mikrokontroler ESP32, sensor DS18B20 (suhu air), sensor DHT22 (suhu greenhouse), dan modul Peltier sebagai aktuator pendingin yang dikendalikan relay berdasarkan setpoint 29,0°C, dengan data tersimpan realtime di Supabase. Hubungan antara suhu greenhouse dan suhu air nutrisi dianalisis menggunakan metode Korelasi Pearson terhadap 20.874 data valid. Sistem berhasil dibangun dan bekerja otomatis sesuai logika program. Hasil analisis korelasi menunjukkan nilai r = 0,8876 yang berarti terdapat hubungan positif yang sangat kuat dan signifikan antara suhu greenhouse dan suhu air nutrisi, sehingga memperkuat pentingnya sistem pendinginan otomatis berbasis Peltier bagi kestabilan suhu air nutrisi hidroponik.

Unstable nutrient water temperature can hinder nutrient absorption in NFT hydroponic cultivation. This study built an IoT-based nutrient water temperature control system using an ESP32 microcontroller, a DS18B20 sensor (water temperature), a DHT22 sensor (greenhouse temperature), and a Peltier module as a relay-controlled cooling actuator based on a 29.0°C setpoint, with data stored in realtime on Supabase. The relationship between greenhouse and nutrient water temperature was analyzed using the Pearson Correlation method on 20,874 valid data points. The system was successfully built and worked automatically according to the program logic. The correlation analysis yielded r = 0.8876 indicating a very strong and significant positive relationship between greenhouse and nutrient water temperature, reinforcing the importance of an automatic Peltier-based cooling system for the stability of hydroponic nutrient water temperature.