Implementasi Sistem Kontrol Suhu Pada Mesin Pengering Pakan Ikan Menggunakan Metode PID

Arrahman, Taufik (2026) Implementasi Sistem Kontrol Suhu Pada Mesin Pengering Pakan Ikan Menggunakan Metode PID. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Proses pengeringan merupakan salah satu tahapan penting dalam produksi pakan ikan karena memengaruhi kualitas produk. Pada kondisi existing, pengaturan suhu mesin pengering masih dilakukan melalui pengaturan bukaan katup control pneumatik berdasarkan pengamatan operator, sedangkan informasi moisture produk diperoleh melalui pengujian laboratorium sehingga belum dapat diketahui secara real-time selama proses pengeringan. Penelitian ini bertujuan mengimplementasikan sistem kontrol suhu otomatis pada mesin pengering pakan ikan menggunakan metode Proportional Integral Derivative (PID) berbasis PLC Allen-Bradley CompactLogix serta mengintegrasikan sistem monitoring suhu dan moisture pada Human Machine Interface (HMI). Parameter PID diperoleh melalui identifikasi plant menggunakan model First Order Plus Dead Time (FOPDT) dan metode Internal Model Control (IMC), kemudian dikonversi ke format PLC. Parameter yang diterapkan pada area top deck adalah Kp = 4, Ki = 0,210, dan Kd = 1,833, sedangkan pada area bottom deck adalah Kp = 4, Ki = 0,216, dan Kd = 1,917. Hasil implementasi menunjukkan bahwa sistem mampu mengikuti perubahan setpoint dari 75°C menjadi 80°C. Pada area top deck diperoleh rise time sebesar 64 detik, overshoot sebesar 1,257%, dan steady-state error sebesar 0,075%, sedangkan pada area bottom deck diperoleh rise time sebesar 90 detik, overshoot sebesar 0,508%, dan steady-state error sebesar 0,106%. Verifikasi sensor moisture terhadap hasil Near Infrared Spectroscopy (NIRS) menunjukkan rata-rata selisih pembacaan sebesar 0,36%. Dengan demikian, sistem kontrol PID yang diimplementasikan mampu mengendalikan bukaan pneumatic control valve sehingga suhu proses pada area top deck dan bottom deck dapat mengikuti nilai setpoint, sementara HMI dan sensor moisture menyediakan informasi proses secara real-time sebagai sistem monitoring pendukung.
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Drying is an important stage in fish feed production because it directly affects product quality. In the existing system, the dryer temperature is controlled by manually adjusting the opening of the pneumatic control valve based on operator observation. In addition, product moisture is measured through laboratory testing, so it cannot be monitored in real time during the drying process. This study aims to implement an automatic temperature control system for a fish feed dryer using the Proportional Integral Derivative (PID) method on an Allen-Bradley CompactLogix PLC and to integrate temperature and moisture monitoring through a Human Machine Interface (HMI). The PID parameters were obtained from plant identification using the First Order Plus Dead Time (FOPDT) model and the Internal Model Control (IMC) method, and then converted into the PLC format. The implemented parameters for the top deck were Kp = 4, Ki = 0.210, and Kd = 1.833, while those for the bottom deck were Kp = 4, Ki = 0.216, and Kd = 1.917. The implementation results show that the control system successfully followed the setpoint change from 75°C to 80°C. For the top deck, the system achieved a rise time of 64 s, overshoot of 1.257%, and steady-state error of 0.075%. For the bottom deck, the system achieved a rise time of 90 s, overshoot of 0.508%, and steady-state error of 0.106%. The moisture sensor verification against Near Infrared Spectroscopy (NIRS) results showed an successfully regulated the pneumatic control valve to maintain the dryer temperature close to the desired setpoint, while the HMI and moisture sensor provided real-time process monitoring to support the drying operation.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kontrol Suhu, PID, Mesin Pengering Pakan Ikan, First Order Plus Dead Time, Internal Model Control, Temperature Control, PID, Fish Feed Dryer, First Order Plus Dead Time, Internal Model Control.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ219 Pneumatic control systems T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments T Technology > TS Manufactures > TS183 Manufacturing processes. Lean manufacturing.
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Taufik Arrahman
Date Deposited:	03 Aug 2026 04:30
Last Modified:	03 Aug 2026 04:31
URI:	http://repository.its.ac.id/id/eprint/141735

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