Vol.9, No.2, May 2020.                                                                                                                                                                                     ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Microcontroller Based Water Measurement Level Prototype Using Fuzzy Logic Method


Juhriyansyah Dalle, M. Ziki Elfirman, Muhammad Sufyan


© 2020 Juhriyansyah Dalle, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 9, Issue 2, Pages 694-701, ISSN 2217-8309, DOI: 10.18421/TEM92-36, May 2020.


Received: 28 March 2020.

Revised:   20 April 2020.
Accepted: 25 May 2020.
Published: 27 May 2020.




Water is the source of life for humans. Its sustainability has to be maintained because water’s quality will affect human life. One of the water sources that are usually used by people is from the local water Company (PDAM) in every city in Indonesia. One of the PDAM Companies in the Marabahan City, South Kalimantan, is treating water from the Jejangkit River, but that water is not always clean; it can be murkier in a rainy season and tidal conditions. That is why the water quality condition in that river needs to be known. In that case, this study aims at designing a prototype of microcontroller-based turbidity of water detector by implementing the fuzzy logic. It can send a real-time report where later it will be used by PDAM in Marabahan City. The stages of turbidity measurement consist of start, initialization of I/O, turbidity sensor of reading object, fuzzy logic, read the turbidity level, stop. The result of this study is that the developed prototype is able to read the turbidity level of water and it can send a real-time report. It is recommended to develop the further turbidity sensor by using other components that are not only able to read the turbidity level, but they are also able to read the pH value and can be developed with other methods, in order that it can read the sharper data accuracy.


Keywords –Turbidity, Turbidity Sensor, Fuzzy.



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