Rancang Bangun Sistem Auto Feeder Pada Tambak Ikan Berbasis Hybrid PV-WIND Energi Menggunakan Kontrol Fuzzy Type-2

Brilliant, Rizqullah Kian (2025) Rancang Bangun Sistem Auto Feeder Pada Tambak Ikan Berbasis Hybrid PV-WIND Energi Menggunakan Kontrol Fuzzy Type-2. Other thesis, Institut teknologi Sepuluh Nopember.

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Abstract

Penelitian ini merancang dan membangun sistem Auto Feeder berbasis energi terbarukan hybrid PV-Wind untuk tambak ikan, dilengkapi dengan sistem kontrol Fuzzy Logic Tipe-2. Sistem dirancang dengan memperhatikan parameter perancangan hardware seperti Loadcell HX711 sebagai sensor berat, Motor Motor servo LW-30MG sebagai aktuator, dan Blower AC untuk distribusi pakan, serta ESP32 sebagai mikrokontroler. Parameter desain kontrol fuzzy ditentukan dengan memasukkan variabel lingkungan berupa temperatur, pH, turbidity, dan waktu, yang kemudian dikonversi menjadi input error dan delta error terhadap setpoint berat pakan 200 gram. Sistem Fuzzy Logic type-2 memberikan output berupa sinyal PWM untuk mengatur durasi bukaan motor servo dalam setiap siklus pelontaran. Hasil pengujian menunjukkan sistem mampu mencapai target pemberian pakan dengan akurasi 87,5%, rise time 1,6 detik, settling time 2,3 detik, dan steady-state error sebesar 2,5%. Sensor Loadcell memiliki akurasi 97–100% dengan ketidakpastian pengukuran sebesar ±2,093 gram. Sistem hybrid PV-Wind terbukti mampu menyediakan energi operasional secara berkelanjutan.==========================================================================================================This research presents the design and implementation of a hybrid PV-Wind energy-based Auto Feeder system for fish farming, equipped with Type-2 Fuzzy Logic control. The system is designed based on critical hardware parameters such as the HX711 Loadcell for weight sensing, LW-30MG Motor servo Motor for actuation, and AC Blower for feed distribution, all integrated with an ESP32 microcontroller. The control system is developed by incorporating environmental parameters including temperatur, pH, turbidity, and feeding time, which are translated into error and delta error inputs for the fuzzy controller. The output PWM signal regulates the motor servo's opening duration in each feed cycle. Testing results demonstrate that the system achieves the 200-gram feeding target with an accuracy of 87.5–93%, a rise time of 1.6 seconds, a settling time of 2.3 seconds, and a steady-state error of 2.5%. The Loadcell exhibited 97–100% accuracy with a measurement uncertainty of ±2.093 grams. The hybrid PV-Wind system successfully provided sustainable operational power.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Auto Feeder, Fuzzy Logic type-2, hybrid PV-Wind, tambak ikan, ESP32, Loadcell Auto Feeder, Fuzzy Logic type-2, hybrid PV-Wind, Pond Fish, ESP32, Loadcell
Subjects:	Q Science T Technology > T Technology (General) > T58.8 Productivity. Efficiency
Divisions:	Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Rizqullah Kian Brilliant
Date Deposited:	04 Aug 2025 06:45
Last Modified:	04 Aug 2025 06:45
URI:	http://repository.its.ac.id/id/eprint/124964

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