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All Journal PELS (Procedia of Engineering and Life Science)
Alifia Novita
Program Studi Teknik Elektro,Fakultas Teknik,Universitas Merdeka Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Automatic Filterization For Industrial Drinking Water Quality Based On Internet Of Things Alifia Novita; Elta Sonalitha; Subairi
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (670.087 KB) | DOI: 10.21070/pels.v1i2.1003

Abstract

Water that suitable for consumption must comply with several biological, chemical and radioactive requirements. The majority of people not understand the quality of the water they consume, most people only recognize clean and dirty water, without knowing the suitability of this water. Because not all substances contained in water can be seen with the naked eye, so it will be difficult to know whether the water is in accordance with the quality of drinking water or not. This study was aimed at monitoring several drinking water quality parameters in the form of pH (6.5 - 8.5), Turbidity (<5 NTU) temperature (22 ℃ - 27 ℃) and TDS (<500 ppm) using pH sensors, turbidity sensors temperature sensors and TDS sensors, and Ultraviolet light as an inhibitor of bacterial growth. The resulting data is executed by NodeMCU 8266 and forwarded via IoT to be sent to the server and forwarded to the application automatically. The results of the pH sensor readings show a reading accuracy of up to 98.36%, the temperature sensor the reading accuracy reaches 96%, the turbidity sensor has an accuracy level of up to 90.1%, while the TDS (Total Dissolve Solid) sensor has an accuracy level of 95, 16%. Water from the filtration of the water filter can be categorized as suitable for consumption accordance with drinking water standards in the Decree of the Minister of Health No.492 of 2010.
Co-Authors Elta Sonalitha Subairi Subairi