Implementasi Regresi Linier Menggunakan Sensor Jsn-Sr04t Untuk Monitoring Ketinggian Air Pada Tandon Air Melalui Platform Antares

Garnish, Hasna Iftinan Apsari (2022) Implementasi Regresi Linier Menggunakan Sensor Jsn-Sr04t Untuk Monitoring Ketinggian Air Pada Tandon Air Melalui Platform Antares. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

	Text COVERR.pdf Download (559kB)
	Text ABSTRACT INGGRIS.pdf Download (25kB)
	Text ABSTRAK INDONESIA.pdf Download (25kB)
	Text BAB I.pdf Download (66kB)
	Text BAB 2.pdf Download (266kB)
	Text BAB 3.pdf Download (187kB)
	Text BAB 4.pdf Restricted to Registered users only Download (227kB) \| Request a copy
	Text BAB 5.pdf Download (27kB)
	Text DAFTAR PUSTAKA.pdf Download (135kB)
	Text LAMPIRAN.pdf Restricted to Registered users only Download (65kB) \| Request a copy

Abstract

Water tanks are water reservoirs that are widely used as a reserve for clean water in case of water disturbances/scarcity. Usually the water reservoir is above the house so it is difficult to monitor the water level. For this reason, it is necessary to have a monitoring system for measuring water levels in water reservoirs to make it easier to monitor the water level. Most monitoring systems for measuring water levels in water reservoirs use ultrasonic sensors, one of the ultrasonic sensors that are already waterproof is the ultrasonic sensor JSN-SR04T. The platform used in this study is Antares as a place to store measurement data and as a monitoring system for this research. The purpose of this study is to test the accuracy of sensor measurements and the effect of linear regression implementation. One way to increase the accuracy of this sensor reading is to use the Linear Regression method. The results of the sensor measurement test state that the percentage of the average error value generated by the JSN-SR04T ultrasonic sensor can be reduced by 0.006% after the Linear Regression method is implemented. Before implementing Linear Regression the average error was 5.356% while after Linear Regression was implemented the average error was 5.350%. This shows that Linear Regression is able to reduce the error value and increase the accuracy value of the sensor. Keywords : Water Tanks, JSN-SR04T Ultrasonic Sensor, linear regression, Arduino

Item Type:	Thesis (Undergraduate Thesis)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Telecommunication and Electrical Engineering > Telecommunication Engineering
Depositing User:	staff repository
Date Deposited:	16 Sep 2022 06:35
Last Modified:	16 Sep 2022 06:35
URI:	http://repository.ittelkom-pwt.ac.id/id/eprint/8159

Actions (login required)

View Item