RANCANG BANGUN PAKAN IKAN OTOMATIS BERBASIS ESP32 MENGGUNAKAN INTERNET OF THINGS

IZHAR, MUHAMMAD MARINO (2025) RANCANG BANGUN PAKAN IKAN OTOMATIS BERBASIS ESP32 MENGGUNAKAN INTERNET OF THINGS. S1 thesis, Universitas Mercu Buana Jakarta.

Preview	Text (HAL COVER) 01 COVER.pdf Download (400kB) | Preview
	Text (BAB I) 02 BAB 1.pdf Restricted to Registered users only Download (162kB)
	Text (BAB II) 03 BAB 2.pdf Restricted to Registered users only Download (384kB)
	Text (BAB III) 04 BAB 3.pdf Restricted to Registered users only Download (398kB)
	Text (BAB IV) 05 BAB 4.pdf Restricted to Registered users only Download (532kB)
	Text (BAB V) 06 BAB 5.pdf Restricted to Registered users only Download (83kB)
	Text (DAFTAR PUSTAKA) 07 DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (215kB)
	Text (LAMPIRAN) 08 LAMPIRAN.pdf Restricted to Registered users only Download (235kB)

Abstract

This research designs and implements an automatic koi fish feeding system based on the ESP32 microcontroller integrated with Internet of Things (IoT) technology. The system aims to assist fish owners in controlling feeding schedules and monitoring water quality remotely through an Android application developed using MIT App Inventor. By integrating multiple sensors (pH, DS18B20 temperature, turbidity, and ultrasonic), the system can monitor water conditions and feed availability in real time. The research method includes the design and integration of both hardware and software components. The hardware consists of a pH 4502C sensor, DS18B20 temperature sensor, turbidity sensor, HC-SR04 ultrasonic sensor, a servo motor as the actuator, and an I2C 16x2 LCD for data display. Sensor data are processed by the ESP32 and transmitted to the Firebase Realtime Database, then displayed on the LCD and Android application. The system is capable of operating automatically based on a feeding schedule, while also allowing manual control via the application. The test results demonstrate that the system performs effectively as intended. The pH sensor recorded values within 7.28–8.11, the DS18B20 temperature sensor measured between 25.3°C–28.6°C, and the turbidity sensor detected an increase from 32 NTU to 194 NTU. The ultrasonic sensor accurately measured feed availability at distances of 2–8 cm. All sensor data were successfully transmitted in real-time to the application, and alerts were provided when water parameters exceeded the ideal range. Therefore, this system proved effective in enhancing koi fish maintenance efficiency while reducing reliance on manual feeding. Keywords: IoT, ESP32, automatic fish feeder, water sensor, MIT App Inventor. Penelitian ini merancang dan mengimplementasikan sistem pemberian pakan ikan koi otomatis berbasis mikrokontroler ESP32 yang terintegrasi dengan teknologi Internet of Things (IoT). Sistem ini bertujuan membantu pemilik ikan dalam mengontrol jadwal pemberian pakan dan memantau kualitas air secara jarak jauh melalui aplikasi Android yang dibuat menggunakan MIT App Inventor. Dengan integrasi beberapa sensor (pH, suhu DS18B20, turbidity, dan ultrasonik), sistem dapat memantau kondisi air dan ketersediaan pakan secara real-time. Metode penelitian meliputi perancangan perangkat keras dan perangkat lunak yang saling terintegrasi. Perangkat keras terdiri atas sensor pH 4502C, sensor suhu DS18B20, sensor turbidity, sensor ultrasonik HC-SR04, motor servo sebagai aktuator, serta LCD I2C 16x2 sebagai penampil data. Data dari sensor diproses oleh ESP32 dan dikirim ke Firebase Realtime Database untuk kemudian ditampilkan pada LCD maupun aplikasi Android. Sistem dapat bekerja otomatis sesuai jadwal yang ditentukan, namun juga mendukung kontrol manual melalui aplikasi. Hasil pengujian menunjukkan bahwa sistem mampu bekerja dengan baik sesuai fungsinya. Sensor pH membaca nilai pada rentang 7,28–8,11; sensor suhu DS18B20 menunjukkan hasil antara 25,3°C–28,6°C; sedangkan sensor turbidity mendeteksi peningkatan kekeruhan dari 32 NTU hingga 194 NTU. Sensor ultrasonik juga dapat mendeteksi ketersediaan pakan dengan akurasi jarak 2–8 cm. Semua data berhasil dikirim ke aplikasi secara real-time, dan sistem memberikan peringatan ketika parameter air berada di luar batas ideal. Dengan demikian, sistem ini terbukti efektif dalam meningkatkan efisiensi pemeliharaan ikan koi sekaligus mengurangi ketergantungan pada pemberian pakan manual. Kata kunci: IoT, ESP32, pakan ikan otomatis, sensor air, MIT App Inventor

Item Type:	Thesis (S1)
Call Number CD:	FT/ELK. 25 060
NIM/NIDN Creators:	41421010021
Uncontrolled Keywords:	IoT, ESP32, pakan ikan otomatis, sensor air, MIT App Inventor
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.6 Interfacing and Communications/Tampilan Antar Muka (Interface) dan Jaringan Komunikasi Komputer > 004.67 Wide Area Network (WAN)/Wide Area Network > 004.678 Internet (World Wide Web)/Internet 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan > 621.3 Electrical Engineering, Lighting, Superconductivity, Magnetic Engineering, Applied Optics, Paraphotic Technology, Electronics Communications Engineering, Computers/Teknik Elektro, Pencahayaan, Superkonduktivitas, Teknik Magnetik, Optik Terapan, Tekn 600 Technology/Teknologi > 630 Agriculture and Related Technologies/Pertanian dan Teknologi Terkait > 633 Field and Plantation Crops/Tanaman Lapangan dan Perkebunan > 633.2 Forage Crops/Tanaman Pakan Ternak, Tumbuhan Pakan Ternak
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	khalimah
Date Deposited:	25 Aug 2025 01:53
Last Modified:	25 Aug 2025 01:53
URI:	http://repository.mercubuana.ac.id/id/eprint/97047

Actions (login required)

View Item