Analisis Implementasi Metode Regresi Linear Pada Sistem Monitoring PH Dan Kekeruhan Akuarium

Hanif, Aditya Permana (2021) Analisis Implementasi Metode Regresi Linear Pada Sistem Monitoring PH Dan Kekeruhan Akuarium. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

	Text COVER.pdf Download (474kB)
	Text ABSTRACT.pdf Download (11kB)
	Text ABSTRAK.pdf Download (32kB)
	Text BAB I.pdf Download (182kB)
	Text BAB II.pdf Download (530kB)
	Text BAB III.pdf Download (847kB)
	Text BAB IV.pdf Restricted to Registered users only Download (915kB) | Request a copy
	Text BAB V.pdf Download (33kB)
	Text DAFTAR PUSTAKA.pdf Download (102kB)
	Text LAMPIRAN.pdf Restricted to Registered users only Download (2MB) | Request a copy

Abstract

The maintenance of fish in the aquarium requires care to maintain the survival of the fish and the aquatic vegetation contained in it. In addition to routine feeding, the value of the environmental parameters of the aquarium also needs to be monitored and maintained at a certain range. The main goal to be achieved is to monitor pH and turbidity in the aquarium so that the quality of the aquarium water can be maintained. A good pH for ornamental fish in an aquarium is more than 7 and less than 8, then a good turbidity for ornamental fish in an aquarium is below 25 ntu. In this study, the NodeMCU ESP32 microcontroller was used as the control center of the system, then the pH sensor was used to detect the pH value of the water, then the turbidity sensor was used to detect the turbidity of the water, then the Buzzer functioned as an alarm and finally the LCD was used to display the results of the sensor readings. In this study, the method used is the linear regression method to determine the accuracy of the pH sensor readings. In this study there is a turbidity sensor test to test the sensor results, pH sensor testing to test the ADC value / output voltage and pH sensor accuracy, linear regression testing on the pH sensor and QOS testing to determine several parameter values including delay, throughput, packet loss and jitter. In this system, Android is used for monitoring and notification with the implementation of the internet of things. Based on the test results on pH sensors with pH conditions of 4.2, 7.1 and 9.4, on sensor readings with pH conditions of 9.4 the average error rate is 2%. However, after being tested with the linear regression method with the equation y=-0.2540+1.0468X, the average error value becomes 0%, it can be concluded that the linear regression method can be applied in this study. In the QOS delay test results, the average value of delay testing is 975.9470 ms which is included in the bad category, packet loss is obtained an average of 15.126% which is included in the medium category, throughput is obtained an average of 694,661 bit/s included in the very good category and Jitter obtained an average of 473.9918 ms which is included in the bad category. Keywords: Aquarium, pH sensor, Turbidity sensor, NodeMCU ESP32, Buzzer, LCD.

Actions (login required)

View Item