Rancang Bangun Sistem Kontrol pH, Electroconductivity, dan Dissolved Oxygen pada Hidroponik Nutrient Film Technique Menggunakan Fuzzy Logic Terintegrasi Internet of Things

Ginting, Kevin Bestian (2025) Rancang Bangun Sistem Kontrol pH, Electroconductivity, dan Dissolved Oxygen pada Hidroponik Nutrient Film Technique Menggunakan Fuzzy Logic Terintegrasi Internet of Things. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini mengkaji perancangan sistem monitoring dan kontrol otomatis berbasis Fuzzy Logic Mamdani yang terintegrasi Internet of Things (IoT) untuk mengatur parameter pH, electroconductivity (EC), dan dissolved oxygen (DO) pada sistem hidroponik Nutrient Film Technique (NFT). Sistem monitoring menunjukkan performansi yang mendekati standar pemantauan hidroponik dengan akurasi pengukuran sebesar 3.39%, 4.99%, dan 4.95%, presisi 99.52%, 98.17%, dan 95.29%, serta ketidakpastian 3.08%, 1.01%, dan 4.75% untuk sensor pH, EC, dan DO secara berurutan. Sistem ini dilengkapi dengan teknologi IoT yang memungkinkan pemantauan jarak jauh secara real-time dengan frekuensi sampling 17 detik, packet loss sebesar 1.3%, dan delay rata-rata 240 ms, yang menunjukkan performa komunikasi data yang andal dan responsif. Pada sisi kontrol, algoritma fuzzy Mamdani berhasil meningkatkan performa dinamika sistem secara signifikan dibandingkan kondisi open-loop. Nilai error steady-state masing-masing parameter pH, EC, dan DO menurun dari 0.02%, 0.5%, dan 2.5% menjadi 2.3%, 0.9%, dan 0.3%,
dengan penurunan overshoot dari 7.16%, 20.72%, dan 4.96% menjadi 1.2%, 3.11%, dan 2.26%. Sementara itu, nilai settling time menjadi lebih stabil pada 50 detik (pH), 24 detik (EC), dan 331 detik (DO). Evaluasi performa dilakukan melalui studi pertumbuhan tanaman selama 8 hari, yang
menunjukkan peningkatan gradien pertumbuhan tinggi dan kualitas daun yang lebih sehat pada tanaman yang dikontrolkan secara otomatis.
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This study examines the design of a monitoring and automatic control system based on Mamdani Fuzzy Logic integrated with the Internet of Things (IoT) to regulate pH, electroconductivity (EC), and dissolved oxygen (DO) parameters in a Nutrient Film Technique (NFT) hydroponic system. The monitoring system demonstrated performance close to hydroponic monitoring standards, with measurement accuracy of 3.39%, 4.99%, and 4.95%, precision of 99.52%, 98.17%, and 95.29%, and uncertainty of 3.08%, 1.01%, and 4.75% for the pH, EC, and DO sensors, respectively. The system is equipped with IoT technology that enables remote real-time monitoring with a sampling frequency of 17 seconds, packet loss of 1.3%, and an average delay of 240 ms, indicating reliable and responsive data communication performance. On the control side, the Mamdani fuzzy algorithm significantly improved the system’s dynamic performance compared to open-loop conditions. The steady-state error for pH, EC, and DO decreased from 0.02%, 0.5%, and 2.5% to 2.3%, 0.9%, and 0.3%, respectively, with overshoot reduced from 7.16%, 20.72%, and 4.96% to 1.2%, 3.11%, and 2.26%. Meanwhile, the settling time became more stable at 50 seconds (pH), 24 seconds (EC), and 331 seconds (DO). System performance was further evaluated through an 8-day plant growth study, which showed increased plant height growth gradients and healthier leaf quality in plants regulated by the automatic control system.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Hidroponik NFT, pH, EC, DO, Fuzzy Logic Mamdani, Internet of Things, performansi kontrol, monitoring.
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Kevin Bestian Ginting
Date Deposited:	05 Aug 2025 12:12
Last Modified:	05 Aug 2025 12:12
URI:	http://repository.its.ac.id/id/eprint/126007

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