Rancang Bangun Sistem Autofeeder Menggunakan Fuzzy Logic Control Berbasis Internet Of Things

Jatmiko, Bayu Ihsan Tsani (2026) Rancang Bangun Sistem Autofeeder Menggunakan Fuzzy Logic Control Berbasis Internet Of Things. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini bertujuan untuk merancang sistem Autofeeder dan sistem minum otomatis dengan menggunakan metode fuzzy logic control dan Internet of Things. Internet of Things yang digunakan berupa blynk yang berfungsi untuk kontrol jarak jauh dan real time monitoring. Dengan menggunakan sensor Load Cell dan HC-SR04 serta aktuator berupa motor stepper dan pompa air. Untuk pengujian kalibrasi sensor Load Cell didapatkan hasil nilai error sebesar 2,8% dan akurasi sebesar 97,2%. Untuk pengujian sensor HC-SR04 didapatkan nilai error 2,33% dan akurasi sebesar 97,67%. Pada pengujian sistem close loop menggunakan 3 target pakan yaitu 13,3 gram, 32,5 gram, dan 52 gram, dimana target tersebut didapatkan dari hasil perhitungan fuzzy pada setiap fase umur ayam. Untuk target 13,3 gram didapatkan nilai rise time, settling time, overshoot sebesar 0,86 detik, 1,31 detik, dan 38,35%. Untuk target 32,5 gram didapatkan nilai rise time, settling time, overshoot sebesar 1,66 detik, 2,28 detik, dan 8,86%. Untuk target 52 gram didapatkan nilai rise time, settling time, overshoot sebesar 2,64 detik, 3,44 detik, dan 4,19%. Sehingga didapatkan nilai MAE dan RMSE sebesar 16,67% dan 22,52%. Kemudian untuk pengujian IoT didapatkan nilai delay dan packet loss sebesar 132 ms dan 2,5%. Sedangkan untuk sistem minum otomatis pompa air mampu mengalirkan air jika kapasitas air dibawah 10% dan akan berhenti saat kapasitas air 85%. Penelitian ini mampu meningkatkan efisiensi serta keandalan sistem pemberian pakan dan air secara otomatis, sehingga mendukung pengembangan inovasi teknologi pada sektor peternakan yang sejalan dengan SDGs poin 9.
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This research aims to design an autofeeder system and an automatic watering system using fuzzy logic control and the Internet of Things (IoT). The Internet of Things platform utilized is Blynk, which serves for remote control and real-time monitoring. The system incorporates a Load Cell sensor and an HC-SR04 ultrasonic sensor, alongside actuators consisting of a stepper motor and a water pump. The calibration testing of the Load Cell sensor yielded an error rate of 2.8% and an accuracy of 97.2%. For the HC-SR04 sensor testing, the error rate was 2.33% with an accuracy of 97.67%. The closed-loop system testing employed three feed targets: 13.3 grams, 32.5 grams, and 52 grams, which were derived from fuzzy logic calculations for each growth phase of the chickens. For the 13.3-gram target, the rise time, settling time, and overshoot were 0.86 seconds, 1.31 seconds, and 38.35%, respectively. For the 32.5-gram target, the rise time, settling time, and overshoot were 1.66 seconds, 2.28 seconds, and 8.86%, respectively. For the 52-gram target, the rise time, settling time, and overshoot were 2.64 seconds, 3.44 seconds, and 4.19%, respectively. Consequently, the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) values obtained were 16.67% and 22.52%. Furthermore, the IoT performance testing showed a network delay of 132 ms and a packet loss of 2.5%. Meanwhile, in the automatic watering system, the water pump is activated to distribute water when the water capacity falls below 10% and stops when the capacity reaches 85%. This research successfully enhances the efficiency and reliability of automated feeding and watering systems, thereby supporting technological innovation in the livestock sector in alignment with Sustainable Development Goals (SDGs) Goal 9.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Fuzzy Logic, Internet of Things, Real Time Monitoring, Autofeeder, Inovasi, Fuzzy Logic, Internet of Things, Real-Time Monitoring, Autofeeder, Innovation
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Bayu Ihsan Tsani Jatmiko
Date Deposited:	04 Aug 2026 01:40
Last Modified:	04 Aug 2026 01:40
URI:	http://repository.its.ac.id/id/eprint/142400

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