Implementasi Logika Fuzzy untuk Kontrol pH dan Electrical Conductivity (EC) pada Reservoir Hidroponik

Hisan, Muhamad Afridil (2026) Implementasi Logika Fuzzy untuk Kontrol pH dan Electrical Conductivity (EC) pada Reservoir Hidroponik. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Parameter pH dan Electrical Conductivity (EC) merupakan faktor penting dalam menjaga kualitas kandungan nutrisi pada sistem hidroponik. Pengaturan yang masih dilakukan secara manual menyebabkan nilai pH dan EC sulit dipertahankan pada kondisi setpoint sehingga diperlukan sistem kontrol otomatis. Selain itu, proses pencampuran larutan pada reservoir memiliki karakteristik dinamis yang berbeda untuk setiap parameter sehingga diperlukan identifikasi sistem sebelum dilakukan perancangan kontrol. Penelitian ini bertujuan merancang pengendali pH dan EC menggunakan Logika Fuzzy Mamdani. Perancangan dilakukan secara terpisah antara parameter pH dan EC karena keduanya memiliki karakteristik respons dan mekanisme pengendalian yang berbeda. Tahap awal penelitian diawali dengan identifikasi karakteristik dinamis sistem menggunakan metode First Order Plus Dead Time (FOPDT) melalui pengujian step response pada reservoir menggunakan larutan nutrisi, pH basa, dan pH asam. Parameter hasil identifikasi digunakan sebagai dasar dalam perancangan fungsi keanggotaan, rule base, serta simulasi sebelum diimplementasikan pada mikrokontroler. Simulasi dilakukan untuk mengevaluasi karakteristik respons sistem sebelum diterapkan pada hardware sehingga parameter pengendali yang digunakan telah sesuai dengan karakteristik plant hasil identifikasi. Hasil simulasi menunjukkan bahwa respons sistem mampu bergerak menuju setpoint tanpa mengalami overshoot (M_{p}=0\%). Pada sistem kontrol pH diperoleh error steady-state (E_{ss}) sebesar 0,13 pH (2,08%) terhadap setpoint 6,25, sedangkan pada sistem kontrol EC diperoleh error steady-state (E_{ss}) sebesar 0,13 mS/cm (7,22%) terhadap setpoint 1,80 mS/cm. Hasil implementasi menunjukkan kesesuaian yang baik dengan hasil simulasi, dengan error 0,12 pH (1,63%) pada sistem pH dan 0,01 mS/cm (0,66%) pada sistem EC.
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The pH and Electrical Conductivity (EC) parameters play an important role in maintaining the nutrient quality of hydroponic systems. Manual regulation makes it difficult to maintain pH and EC at their desired setpoints, making an automatic control system necessary. In addition, the mixing process in the solution reservoir exhibits different dynamic characteristics for each parameter, requiring system identification before controller design. This study aims to develop pH and EC controllers based on Mamdani Fuzzy Logic. The controllers for pH and EC were designed separately because each parameter has different dynamic characteristics and control mechanisms. The design process began with system identification using the First Order Plus Dead Time (FOPDT) method through step response experiments conducted in a solution reservoir using nutrient solution, pH alkaline, and pH acid solutions. The identified model parameters were used as the basis for designing the membership functions, fuzzy rule base, and simulation before implementation on a microcontroller. The simulation was carried out to evaluate the controller performance prior to hardware implementation, ensuring that the designed controller was compatible with the identified plant characteristics. Simulation results show that the system response reached the setpoint without overshoot (M_{p}=0\%). The pH control system achieved a steady-state error (E_{ss}) of 0.13 pH (2.08%) with respect to the 6.25 setpoint, while the EC control system achieved a steady-state error (E_{ss}) of 0.13 mS/cm (7.22%) with respect to the 1.80 mS/cm setpoint. Hardware implementation demonstrated good agreement with the simulation results, with errors of 0,12 pH (1,63%) for the pH control system and 0,01 mS/cm (0,66%) for the EC control system.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Logika Fuzzy Mamdani, pH, Electrical Conductivity, Hidroponik, Reservoir, Fuzzy Logic Mamdani, pH, Electrical Conductivity, Hydroponic, Reservoir
Subjects:	Q Science > QA Mathematics > QA248_Fuzzy Sets T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control.
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Muhamad Afridil Hisan
Date Deposited:	10 Aug 2026 02:00
Last Modified:	10 Aug 2026 02:00
URI:	http://repository.its.ac.id/id/eprint/143800

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