A Prototype of Water Turbidity Measurement With Fuzzy Method using Microcontroller

Dublin Core

Title

A Prototype of Water Turbidity Measurement With Fuzzy Method using Microcontroller

Subject

Turbidity Sensor
Prototype
Arduino Uno Microcontroller
Water Monitoring
Fuzzy Logic

Description

Water is a source of much-needed living things such as daily needs and transportation routes, and also as a source of energy. Water is also essential as a water quality factor. Good water for treating cold-water ornamental fish with temperatures below 20o Celcius has a maximum water turbidity value of 10 NTU (Nephelometric Turbidity Unit); if the turbidity level is above 10 NTU, the water will be declared cloudy and affect fish health. The object of this research is ornamental aquarium fish with the type of goldfish. The research method used is qualitative. The research flow begins with observing the problem, then designing and simulating the Arduino Uno as a place to process the measuring data. The prototype of this tool aims to show changes in the level of turbidity of water from the value of water turbidity. This prototype uses the fuzzy method to assist the testing process. This study's results for five days showed that 1 out of 5 tests indicated that the aquarium water was cloudy, namely on the fifth day. The results of this study are expected to be implemented in a prototype for measuring water turbidity using the fuzzy method using a microcontroller. The design of this water turbidity measuring instrument is expected to estimate the turbidity of water or liquid correctly, precisely, accurately, with a small error rate, and notify warnings for replacing ornamental fish aquarium water.

Creator

Siregar, Victor Marudut Mulia
Sinaga, Kalvin
Hanafiah, M. Ali

Source

Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]; 75-97
2774-4353

Publisher

Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Date

2022-05-19

Rights

Copyright (c) 2022 ascee.org
https://ascee.org/

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

Identifier

Citation

Victor Siregar Marudut Mulia, Kalvin Sinaga and M Hanafiah. Ali, A Prototype of Water Turbidity Measurement With Fuzzy Method using Microcontroller, Association for Scientific Computing, Electronics, and Engineering (ASCEE), 2022, accessed November 22, 2024, https://igi.indrastra.com/items/show/794

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