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Optimization Coagulation Process of Water Treatment Plant Using Neural Network and Internet of Things (IoT) Communication

Wibisono R.P.a, Rusmin P.H.a, Notodarmojo S.a

a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 IEEE.Internet of Things (IoT) is a concept that aims to expand the benefits of continuously connected internet connectivity, while Artificial Intelligence is intelligence that is created and inserted into a machine to do work like humans do. In this study, a prototype system was built that can control the requirement of chemicals for the coagulation process based on measuring the quality of raw water in the PDAM intake channel using several sensor parameters including Turbidity, pH, and Dissolved Oxygen (DO), by utilizing Internet of Things (IoT) communication. System processing is carried out by a microcontroller. The Artificial Neural Network (ANN) method is used to determine the amount of chemicals or coagulants required for the coagulation process based on raw water quality data, this system can also display raw water quality monitoring data from all sensor parameters used and the status of the dosing pump by IoT communications. By using this system, the amount of doses of chemicals or coagulants used in coagulation through the intake will be more optimal when compared to the current system.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Coagulation process,Dosing pumps,Internet connectivity,Internet of Things (IOT),Prototype system,Raw water,Raw water quality,Sensor parameter[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]ANN,Dissolved Oxygen,Internet of Things,Microcontroller,pH,Total Dissolved Solid,Turbidity[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ISRITI51436.2020.9315417[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]