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All Journal Jurnal Kajian Manajemen Bisnis Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Asia-Pacific Management and Business Application Jurnal Manajemen Universitas Bung Hatta Community Development Journal: Jurnal Pengabdian Masyarakat AMAR (Andalas Management Review) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Jurnal Manajemen Stratejik dan Simulasi Bisnis MASALIQ: Jurnal Pendidikan dan Sains
Rahmat Eka Putra
Politeknik Negeri Padang
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Medicine & Pharmacology Public Health Social Sciences Other

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Journal : MASALIQ: Jurnal Pendidikan dan Sains

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Rancang Bangun Prototype Sistem Monitoring Pemberian Pakan Ikan Otomatis di Keramba Jaring Apung Berbasis IoT Putra, Rahmat Eka; Fikri, Ryan
MASALIQ Vol 5 No 5 (2025): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i5.7013

Abstract

Floating net cage (KJA) fish farming in Lake Maninjau faces several challenges, particularly the inefficiency of manual feeding—which requires significant time and labor and often results in uneven distribution—as well as water quality issues caused by pollution and upwelling (tubo) phenomena, leading to mass fish mortality. This study aims to develop an Internet of Things (IoT)-based prototype to automate feeding and monitor water quality, thereby improving farming efficiency. The prototype was built using the ESP32 microcontroller, DS18B20 temperature sensor, pH sensor, HC-SR04 ultrasonic sensor, DS3231 RTC module, servo motor, buzzer, LED, and LCD display, following the waterfall development model. Sensor validation was performed using standard instruments such as thermometers and pH meters. The Blynk platform was used for remote monitoring and control via smartphone. The system successfully monitored water temperature within the range of 27–32°C, pH between 6–8.5, and feed levels (0–100%), with a deviation of ±0.01 for pH and 0.0°C for temperature. A total of 150 grams of feed was automatically dispensed at scheduled times (09:00 and 16:00 WIB), with notifications sent via Blynk. These findings demonstrate that the developed system effectively supports more efficient, adaptive, and environmentally responsive fish farming.
Co-Authors Adrianto, Fajri Alhapen Ruslin Chandra Alhapen Ruslin Chandra Aufa Shandra Tama Benny Chandra Dasatry Dwi Ramadona Devi Yulia Rahmi Fajri Adrianto Fatma Poni Mardiah Fikri, Ryan Hafanos, Robby Handika, Rebi Fara Harif Amali Rivai Hendra Lukito Husna, Rifdatul Ika Yuanita Imelda M Nur Indri Juliyarsi Indri Juliyasri Jumyetti Jumyetti Jumyetti Jumyetti Melia, Sri Meuthia Meuthia Meuthia Meuthia Meuthia Meuthia Meuthia Meuthia Muhammad Fariz Muhammad Fariz Neswardi, Sepri Neswardi, Sepri Nurhayati Nurhayati Nurhayati Primadona Ramadona, Dasatry Dwi Ratni Prima Lita Robby Hafanos Sepri Neswardi Sri Maryati Sri Maryati Sri Melia Syafrizal Syafrizal Syafrizal Syafrizal Velia Meidilisa Wahyudi Wahyudi Yanita, Novi Zenggga, Zenggga