RANCANG BANGUN SISTEM KONTROL OTOMATIS PH DAN NUTRISI (PPM )PADA LARUTAN HIDROPONIK DEEP FLOW TECHNIQUE (DFT) BERBASIS INTERNET OF THINGS (IOT)

IVO ANDRE, NPM 2208100127 (2026) RANCANG BANGUN SISTEM KONTROL OTOMATIS PH DAN NUTRISI (PPM )PADA LARUTAN HIDROPONIK DEEP FLOW TECHNIQUE (DFT) BERBASIS INTERNET OF THINGS (IOT). Skripsi thesis, Universitas Labuhanbatu.

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Abstract

Hidroponik Deep Flow Technique (DFT) merupakan metode budidaya tanaman yang membutuhkan pengaturan pH dan nutrisi (PPM) agar pertumbuhan tanaman tetap optimal. Pengukuran dan pengaturan secara manual membutuhkan waktu dan ketelitian, sehingga diperlukan sistem yang dapat melakukan monitoring dan pengendalian secara otomatis. Penelitian ini bertujuan untuk merancang sistem kontrol otomatis pH dan nutrisi (PPM) pada larutan hidroponik DFT berbasis Internet of Things (IoT). Sistem menggunakan ESP32 sebagai mikrokontroler, sensor pH dan sensor TDS untuk membaca kondisi larutan, serta relay dan pompa sebagai aktuator pengendali. Data hasil pengukuran dikirim dan ditampilkan secara real-time melalui aplikasi Blynk sehingga dapat dipantau melalui smartphone. Pengujian dilakukan selama 21 hari untuk mengetahui kinerja sistem dalam melakukan monitoring dan pengendalian. Hasil pengujian menunjukkan bahwa nilai pH berada pada rentang 6,11–6,50, sedangkan nilai nutrisi berada pada rentang 477–745 ppm. Ketika nilai nutrisi berada di bawah batas yang ditentukan, sistem mampu mengaktifkan pompa nutrisi secara otomatis hingga nilai PPM kembali ke kondisi yang sesuai. Dengan demikian, sistem yang dirancang mampu melakukan monitoring dan pengendalian pH serta nutrisi secara otomatis dan real-time, sehingga dapat mengurangi pengecekan manual dan membantu menjaga kestabilan larutan hidroponik. Kata kunci : Hidroponik DFT, Internet Of Things, ESP32, pH, PPM, Blynk. ========================================================================= Deep Flow Technique (DFT) hydroponics is a plant cultivation method requiring the regulation of pH and nutrient levels (PPM) to ensure optimal plant growth. Manual measurement and adjustment are time-consuming and demand precision; therefore, an automated monitoring and control system is needed. This research aims to design an Internet of Things (IoT)-based automatic control system for pH and nutrient levels (PPM) in DFT hydroponic solutions. The system utilizes an ESP32 microcontroller, pH and TDS sensors to monitor solution conditions, and relays and pumps as control actuators. Measurement data is transmitted and displayed in real-time via the Blynk application, allowing for smartphone-based monitoring. Testing was conducted over a 21-day period to evaluate the system's monitoring and control performance. Test results indicate that pH values remained within the 6.11–6.50 range, while nutrient levels ranged from 477 to 745 ppm. When nutrient levels fell below the set threshold, the system automatically activated the nutrient pump until the PPM returned to the appropriate level. Thus, the designed system is capable of automatically monitoring and controlling pH and nutrients in real-time, thereby reducing the need for manual checks and helping to maintain the stability of the hydroponic solution. Keywords : DFT Hydroponics, Internet Of Things, ESP32, pH, PPM, Blynk.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Hidroponik DFT, Internet Of Things, ESP32, pH, PPM, Blynk. ======================================== DFT Hydroponics, Internet Of Things, ESP32, pH, PPM, Blynk.
Subjects:	S Agriculture > S Agriculture (General) S Agriculture > SB Plant culture T Technology > T Technology (General)
Divisions:	Fakultas Sains Dan Teknologi > Teknologi Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	03 Sep 2026 08:12
Last Modified:	03 Sep 2026 08:12
URI:	http://repository.ulb.ac.id/id/eprint/2743

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