AQUASCAPE QUALITY WATER CONTROL SYSTEM BASED ON INTERNET OF THINGS USING TYPE-2 FUZZY LOGIC METHOD

Raihan Fawwaz, Andien (2026) AQUASCAPE QUALITY WATER CONTROL SYSTEM BASED ON INTERNET OF THINGS USING TYPE-2 FUZZY LOGIC METHOD. Undergraduate thesis, UPN VETERAN JAWA TIMUR.

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Abstract

Aquascape is an aquatic ecosystem within an aquarium that requires stable water quality parameters to ensure optimal growth of plants and organisms. The main parameters affecting this balance include water temperature, light intensity, and turbidity level. Imbalance in these parameters can disrupt the ecosystem, thus requiring a control system capable of monitoring and regulating conditions automatically and in real-time. This study aims to design and implement an aquascape water quality control system based on the Internet of Things (IoT) using the Fuzzy Type-2 method with an ESP32 microcontroller. The system utilizes DS18B20, LDR, and turbidity sensors to monitor environmental conditions, and controls actuators such as a DC fan, LED strip, and buzzer. Data processing is carried out using fuzzy logic to generate control decisions that are more adaptive to environmental changes. The results show that the system is able to maintain parameters within optimal ranges, namely water temperature of 28–30°C, Light intensity suitable for aquascape plants is around 15 watts, and turbidity levels of 0–50 NTU. The system is also capable of responding to environmental changes automatically and maintaining stable conditions effectively. In addition, the system enables remote monitoring and control in real-time through an IoT platform.Therefore, the developed system can improve maintenance efficiency, reduce manual user intervention, and maintain the stability of the aquascape ecosystem sustainably

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorMuhammad, Idhom0010038305idhom@upnjatim.ac.id
Thesis advisorHenni Endah, Wahanani378091303481henniendah@upnjatim.ac.id
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science > Departemen of Informatics
Depositing User: raihan fawwaz andien
Date Deposited: 22 May 2026 07:08
Last Modified: 22 May 2026 07:08
URI: https://repository.upnjatim.ac.id/id/eprint/52166

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