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 6, 2024, https://igi.indrastra.com/items/show/794