Rancang Bangun Model Sistem Kendali Pompa Air Dilengkapi Monitoring Volume Dan Ketinggian Air Berbasis Internet Of Things Bertenaga Surya

Anwar, Muhammad Farkhan and , Agus Supardi, S.T., M.T (2024) Rancang Bangun Model Sistem Kendali Pompa Air Dilengkapi Monitoring Volume Dan Ketinggian Air Berbasis Internet Of Things Bertenaga Surya. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

The process of transferring water from reservoirs to water reservoirs is an important aspect of urban water management, which ensures a steady supply of clean drinking water for households and enterprises. Water is drawn from reservoirs or natural water sources and sent through pipelines to treatment plants to remove impurities and contaminants before being delivered to consumers via water pumps. The purpose of this research is to create a water pump control system based on the water level that can be controlled and monitored through the Blynk application. This tool uses a Solar Power Plant (PLTS) source which is more environmentally friendly and does not require high expenditure costs. The control system uses ultrasonic sensor to measure the water level, water flow sensor to measure the flow rate and volume of water, and ESP32 microcontroller to control the water pump. For the monitoring system, this device uses an ESP32 microcontroller based on the Internet of Things and can be seen using the Blynk application. The data displayed through Blynk application will be recorded using Google Spreadsheet. This research describes the application of the Blynk application as a water pump control system and monitoring sensor readings, and describes the performance level of ultrasonic sensors and water flow sensors in solving problems to achieve the objectives in the research. Based on the results of the research, it was found that ultrasonic sensors and water flow sensors can work well to measure the level of height, flow rate, and volume of water. The JSN-SR04T ultrasonic sensor has an average error of 1.21% in measuring water height. The FS300A water flow sensor has an average error rate of 1.38% in measuring the water rate. To read the volume of water the FS300A water flow sensor has an average error of 0.646%.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Water Volume, Water Flow Rate, Water Level, Monitoring, Internet of Things.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	MUHAMMAD FARKHAN ANWAR
Date Deposited:	25 May 2024 02:29
Last Modified:	25 May 2024 02:31
URI:	http://eprints.ums.ac.id/id/eprint/124577

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