DETECTING CLEAN WATER AND CLOUDY WATER BASED ON IOT USING FUZZY LOGIC SUGENO AND MAMDANI METHOD

PURBA, STEVANI DHEA LESTARI (2021) DETECTING CLEAN WATER AND CLOUDY WATER BASED ON IOT USING FUZZY LOGIC SUGENO AND MAMDANI METHOD. Other thesis, Universitas Katholik Soegijapranata Semarang.

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Abstract

Water is a very important need for humans on a daily basis, so humans need good water quality, poor water quality occurs because of pollution and contamination. To determine the quality of a water, there are several parameters determined by the Regulation of the Minister of Health Number 416/MENKES/PER/IX/1990 concerning water quality requirements, including turbidity parameters and dissolved solids (TDS) parameters used in this study, and by using the Sugeno method fuzzy logic and then comparing it with the Mamdani method to produce water quality output in accordance with the reference in the World Health Organization on drinking water quality guidelines. In solving this problem, a tool is designed to help calculate water quality, with the turbidity parameter the author uses an LDR sensor that works to calculate the scattering of light that penetrates the water and hits the sensor, then on the TDS parameter the author uses a TDS sensor that works to calculate the amount of dissolved substances in the water. The Sugeno method and the Mamdani method used in this study are tasked with determining whether the water quality includes water of decent, medium, or unfeasible quality. This method has stages such as fuzzification, inference, and defuzzification, where in this defuzzification produces the output of the fuzzification and inference process. The final result in this study, it was found that these two sensors can be used as a tool to calculate the quality of a water, and these two methods can also determine the quality of a water with the same accuracy of 80%. From 10 samples of water, it was found that the output of 2 samples of water in the Sugeno and Mamdani methods was not in accordance with the WHO reference and using a tool other than a sensor that calculates water quality, namely the TDS EC Meter. Then the results from the sensors and fuzzy calculations are sent to the database, and from the database it will be sent to the website

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	mr AM. Pudja Adjie Sudoso
Date Deposited:	14 Oct 2021 06:17
Last Modified:	14 Oct 2021 06:17
URI:	http://repository.unika.ac.id/id/eprint/27118

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