Implementasi Kontrol pH pada Sistem Monitoring Wastewater Treatment Plant Menggunakan Metode Fuzzy Logic di PT Hervitama Indonesia

Arrafii, Dzaky Naufal (2026) Implementasi Kontrol pH pada Sistem Monitoring Wastewater Treatment Plant Menggunakan Metode Fuzzy Logic di PT Hervitama Indonesia. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Aktivitas industri menghasilkan air limbah dengan karakteristik yang berubah secara dinamis sehingga diperlukan sistem pengendalian yang mampu menjaga kualitas efluen sesuai baku mutu lingkungan. Salah satu parameter yang paling menentukan keberhasilan proses pengolahan air limbah adalah derajat keasaman (pH). Sistem monitoring konvensional umumnya hanya menampilkan nilai pH tanpa mampu melakukan tindakan pengendalian secara otomatis ketika terjadi perubahan kondisi air limbah. Permasalahan tersebut mendorong perlunya pengembangan sistem kontrol yang lebih adaptif untuk mempertahankan kestabilan pH pada Wastewater Treatment Plant (WWTP). Penelitian ini bertujuan mengimplementasikan metode Fuzzy Logic Mamdani sebagai pengendali pH pada sistem monitoring WWTP serta mengevaluasi efektivitasnya dibandingkan dengan metode kontrol On-Off. Penelitian menggunakan metode rekayasa yang meliputi tahap perancangan, implementasi, integrasi perangkat keras dan perangkat lunak, serta pengujian kinerja sistem. Sistem dikembangkan menggunakan Arduino Mega 2560, sensor pH, motor driver L298N, dan pompa dosing sebagai aktuator. Pengendalian dilakukan berdasarkan dua variabel masukan, yaitu error dan delta error, yang diproses melalui tahapan fuzzifikasi, inferensi berbasis rule base, dan defuzzifikasi metode centroid untuk menghasilkan keluaran berupa nilai PWM pompa. Hasil pengujian menunjukkan bahwa metode Fuzzy Logic Mamdani mampu mencapai nilai pH sebesar 6,95 yang masih berada dalam batas toleransi sistem dengan overshoot sebesar 0%, sedangkan metode kontrol On-Off tidak dapat mencapai setpoint pH 6,86–7,14 dan menghasilkan overshoot sebesar 19,23%. Dengan demikian, metode Fuzzy Logic Mamdani memberikan pengendalian yang lebih kontinu dan adaptif serta mampu mengurangi fluktuasi pH.
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Industrial activities generate wastewater that must be treated to comply with environmental quality standards before being discharged into receiving water bodies. PT Hervitama Indonesia has implemented a real-time monitoring system for its Wastewater Treatment Plant (WWTP); however, the existing system only performs monitoring functions and does not provide automatic pH control. Consequently, pH adjustment is still carried out manually by operators. This study aims to design, implement, and evaluate a pH control system based on the Mamdani Fuzzy Logic method integrated with the existing WWTP monitoring system. The research employed an engineering method consisting of requirement identification, hardware and software design, implementation, system integration, and performance testing. Data were collected through observation, literature review, documentation, and system testing. The study utilized primary data obtained from pH sensor measurements and system testing results, as well as secondary data derived from company technical documents and supporting literature. The object of this study was the WWTP monitoring system at PT Hervitama Indonesia. The results show that the proposed system was successfully developed by integrating an Arduino Mega 2560, a pH sensor, an L298N motor driver, and chemical injection pumps. The system performs real-time pH measurement and processes the error and delta error variables through fuzzification, rule base inference, and Centroid defuzzification to generate Pulse Width Modulation (PWM) values and pump operating duration. Experimental results indicate that the Mamdani Fuzzy Logic controller achieved a pH value of 6.95 within the system tolerance range, whereas the conventional On-Off controller produced a 19.23% overshoot and failed to reach a steady-state condition. Therefore, the proposed method provides more continuous and adaptive control, reduces pH fluctuations, and has the potential to be implemented as an alternative pH control system for industrial wastewater treatment plants.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Wastewater Treatment Plant, pH, Fuzzy Logic Mamdani, sistem kontrol, Arduino Mega 2560.Wastewater Treatment Plant, pH, Mamdani Fuzzy Logic, control system, Arduino Mega 2560.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery (General) T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control.
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Dzaky Naufal Arrafii
Date Deposited:	12 Aug 2026 08:59
Last Modified:	12 Aug 2026 08:59
URI:	http://repository.its.ac.id/id/eprint/144331

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