Monitoring Air PDAM Di Dusun Klemut Berbasis IoT

Narpitalvazico, Rosalvino Jeryn and , Heru Supriyono (2022) Monitoring Air PDAM Di Dusun Klemut Berbasis IoT. Diploma thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Water is an essential need for all living beings today on Earth. Water covers almost 71 percent of the earth's surface and there are 1.4 trillion cubic kilometers on earth. Therefore, the need for water is very crucial for humans, tools or goods are needed that are useful for monitoring the state and condition of the water so that there is no spread of disease to the community. So a water monitoring tool is designed that is placed in the PDAM, with the main components of the pH sensor, sensor Ultrasonic, Arduino Uno, Ultraviolet Lamp, Nodemcu and 9V Battery. Here the Ph sensor functions for the pH level of the water in the reservoir, the Ultrasonic sensor as a marker of the distance into the water and combined with a water pump so that it can turn on if the water is less than the input data and will turn off if more than the data that has been inputted, equipped if Ultraviolet lights that are useful for reducing moss in the reservoir. Arduino Uno is here as a data store that has been designed on a PC or laptop in the Arduino IDE application, the data that has been saved by Arduino Uno will later be sent to Nodemcu so that it can be processed to be sent back to the blynk cloud so that it can appear on the smartphone via the blynk application, and battery 9V here as a power source to power the 2 controllers so that they usually turn on. It is hoped that the use of the IoT (Internet of Things) system can facilitate efficient monitoring of PDAMs. From the results of the research that has been carried out, the results obtained that the largest error rate is 0.1 and the largest error percentage is 1.0% in coir water or alkaline substances. While for pH powder or acidic substances the error is 0.1 and the largest error percentage which is 2.2% for the pH sensor.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	iot, blynk, monitoring, arduino uno
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK01 Weak flow
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	Rosalvino Jeryn Narpitalvazico
Date Deposited:	25 Nov 2022 02:51
Last Modified:	25 Nov 2022 02:51
URI:	http://eprints.ums.ac.id/id/eprint/106521

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