Indonesian Journal of Law and Economics Review
Vol 19 No 4 (2024): November
Production Management

Optimizing Catfish Farming Through IoT-Driven Water Quality Management
Mengoptimalkan Budidaya Ikan Lele Melalui Manajemen Kualitas Air Berbasis IoT


  • Muhammad Darmaji,
  • Arief Wisaksono*
Muhammad Darmaji
Universitas Muhammadiyah Sidoarjo, Indonesia
Arief Wisaksono
Universitas Muhammadiyah Sidoarjo, Indonesia *

(*) Corresponding Author
DOI: https://doi.org/10.21070/ijler.v19i4.1164
Published October 1, 2024
Keywords
  • Catfish Farming,
  • IoT,
  • Water Quality Monitoring,
  • Ammonia Control,
  • Temperature Management
How to Cite
Darmaji, M., & Wisaksono, A. (2024). Optimizing Catfish Farming Through IoT-Driven Water Quality Management. Indonesian Journal of Law and Economics Review, 19(4), 10.21070/ijler.v19i4.1164. https://doi.org/10.21070/ijler.v19i4.1164

Copyright (c) 2024 Muhammad Darmaji, Arief Wisaksono

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

General Background: Catfish play a significant role in the global fishing industry, necessitating effective farming practices to enhance productivity and sustainability. Specific Background: However, challenges such as maintaining optimal water quality in aquaculture ponds, particularly concerning ammonia levels and temperature fluctuations, pose threats to catfish health and production efficiency. Knowledge Gap: Previous research has often focused on single-parameter monitoring, lacking comprehensive systems that integrate real-time data for both ammonia and temperature management. Aims: This study aims to develop an advanced Internet of Things (IoT) system for real-time monitoring and control of ammonia levels and water temperature in catfish ponds, facilitating optimal farming conditions.  Results: The implemented system utilizes two sensors to measure ammonia and temperature, integrated with the Blynk IoT platform for remote monitoring. The findings indicate that when water temperature exceeds 26 °C, the water pump activates to regulate temperature, while ammonia levels above 5 NH3 trigger the aerator to enhance oxygen levels and reduce ammonia toxicity. Novelty: This research innovatively combines multiple sensors and modern IoT applications, offering a more robust solution for aquaculture management compared to previous studies. Implications: The monitoring system effectively maintains water quality, enhancing catfish farming sustainability and efficiency, emphasizing the need for technology integration in aquaculture to effectively tackle environmental challenges.

Highlights:

 

  1. Real-time Monitoring: Continuous tracking of ammonia and temperature levels.
  2. Automated Control: Activates pumps and aerators based on set thresholds.
  3. Enhanced Sustainability: Supports healthier catfish and optimizes production efficiency.

 

Keywords: Catfish Farming, IoT, Water Quality Monitoring, Ammonia Control, Temperature Management

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