Rancang Bangun Sistem Pengendalian Turbisity Berbasis Type-2 Fuzzy Logic Controller (T2-FLC) untuk Mendukung Sistem Auto Feeder pada Kolam Ikan Gurami

Rizqi, Fithria Miftahur (2025) Rancang Bangun Sistem Pengendalian Turbisity Berbasis Type-2 Fuzzy Logic Controller (T2-FLC) untuk Mendukung Sistem Auto Feeder pada Kolam Ikan Gurami. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengendalian kualitas air merupakan aspek yang sangat penting dalam budidaya ikan gurami, khususnya pada parameter turbidity (kekeruhan) yang mempengaruhi kesehatan dan pertumbuhan ikan gurami. Kekeruhan air, yang disebabkan oleh material tersuspensi, dapat mengganggu fotosintesis dan meningkatkan total padatan terlarut, yang berdampak negatif pada kesehatan ikan gurami. Penelitian ini bertujuan untuk mengembangkan sistem kontrol kekeruhan (turbidity) menggunakan metode Type-2 Fuzzy Logic Controller (T2-FLC) pada kolam budidaya ikan gurami. Metodologi yang digunakan berbasis eksperimen meliputi pengujian kalibrasi sensor, karakterisasi aktuator, serta uji open loop dan closed loop. Sensor turbidity yang digunakan yaitu SKU:SEN 0189, telah dilakukan karakteristik statis yang berupa akurasi, presisi, dan ketidakpastian diperluas pada sensor kekeruhan (turbidity) masing-masing sebesar 95,49%, 99,05%, dan 6,38%. Sistem pengendalian turbidity pada kolam ikan Gurami berbasis Type-2 Fuzzy Logic Controller (T2-FLC) berhasil diimplementasikan secara efektif pada kolam budidaya yang mampu mengatasi ketidakpastian dengan lebih baik. Sistem kontrol mampu mengendalikan turbidity dari kondisi keruh (130-180 NTU) hingga mencapai setpoint 50 NTU secara stabil. Hasil pengujian implementasi sistem pengendalian turbidity pada kolam ikan Gurami berbasis Type-2 Fuzzy Logic Controller (T2-FLC) diperoleh berupa fall time, settling time, undershoot dan steady state error pada kekeruhan (turbidity) masing-masing sebesar 200 detik, 1700 detik, 0%, dan 0%. Dengan kekeruhan (turbidity) yang mampu mencapai setpoint dalam keadaan stabil setelah diterapkan sistem kontrol maka menunjukkan performansi yang baik untuk mendukung sistem Auto Feeder pada kolam ikan Gurami.
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Water quality control is a very important aspect in gourami fish farming, particularly regarding the turbidity parameter that affects the health and growth of gourami fish. Water turbidity, caused by suspended materials, can disrupt photosynthesis and increase total dissolved solids, which negatively impacts gourami fish health. This research aims to develop a turbidity control system using the Type-2 Fuzzy Logic Controller (T2-FLC) method in gourami fish farming ponds. The methodology used is experiment-based, including sensor calibration testing, actuator characterization, and open loop and closed loop testing. The turbidity sensor used, SKU:SEN 0189, has undergone static characterization including accuracy, precision, and expanded uncertainty for the turbidity sensor of 95.49%, 99.05%, and 6.38%, respectively. The turbidity control system in gourami fish ponds based on Type-2 Fuzzy Logic Controller (T2-FLC) has been successfully implemented effectively in farming ponds and is capable of handling uncertainty better. The control system is able to control turbidity from turbid conditions (130-180 NTU) to reach a stable setpoint of 50 NTU. The implementation test results of the turbidity control system in gourami fish ponds based on Type-2 Fuzzy Logic Controller (T2-FLC) obtained fall time, settling time, undershoot, and steady state error for turbidity of 200 seconds, 1700 seconds, 0%, and 0%, respectively. With turbidity being able to reach the setpoint in a stable condition after applying the control system, it demonstrates good performance to support the Auto Feeder system in gourami fish ponds.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	auto feeder, ikan gurami, turbidity, type-2 fuzzy logic controller
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TD Environmental technology. Sanitary engineering > TD375 Turbidity--Measurement. T Technology > TD Environmental technology. Sanitary engineering > TD433 Water treatment plants
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Fithria Miftahur Rizqi
Date Deposited:	04 Aug 2025 06:47
Last Modified:	04 Aug 2025 06:47
URI:	http://repository.its.ac.id/id/eprint/124939

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