Dissolved Oxygen Control with Variable Aerator based on Fuzzy Type 2 and IoT

Galih Novian Prasetyo; Basuki Rahmat; Fetty Tri Anggraeny

doi:10.56480/jln.v5i2.1570

Authors

Galih Novian Prasetyo Universitas Pembangunan Nasional Veteran, Jawa Timur, Surabaya, Indonesia
Basuki Rahmat Universitas Pembangunan Nasional Veteran, Jawa Timur, Surabaya, Indonesia
Fetty Tri Anggraeny Universitas Pembangunan Nasional Veteran, Jawa Timur, Surabaya, Indonesia

DOI:

https://doi.org/10.56480/jln.v5i2.1570

Abstract View:

38

PDF downloads:

31

Keywords:

Internet of Things, Dissolved Oxygen, Aerator, Fuzzy Type-2, Ubidots

Abstract

In the era of rapidly evolving technology, energy efficiency in aquarium systems plays a crucial role in maintaining artificial ecosystem balance while optimizing electricity consumption. This study develops an automated aerator system based on the Internet of Things (IoT) using the Fuzzy Type-2 algorithm, allowing adaptive adjustment of aerator operation duration based on dissolved oxygen levels in water. A Dissolved Oxygen (DO) sensor is utilized to measure oxygen levels, while data is monitored in real-time through Ubidots as an MQTT server. This research aims to evaluate energy efficiency in automated aerator systems compared to conventional methods. Testing was conducted by comparing energy consumption and oxygen stability between IoT-based systems and manual systems. The results indicate that the Fuzzy Type-2 approach enhances energy efficiency, optimizes aerator performance, and maintains oxygen levels within an ideal range for fish survival. With this automated system, aquarium management becomes more energy-efficient and effective while opening broader opportunities for IoT technology integration in data-driven environmental management.

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