DEVELOPMENT OF RIVER FLOW AND WATER QUALITY MONITORING SYSTEM USING BUOYS BASED ON SMART ENVIRONMENT

Nasution, Subhan Fahmi (2023) DEVELOPMENT OF RIVER FLOW AND WATER QUALITY MONITORING SYSTEM USING BUOYS BASED ON SMART ENVIRONMENT. Masters thesis, Universitas Andalas.

	Text (Cover dan Abstrak) Cover-Abstrak (2).pdf - Published Version Download (92kB)
	Text (Pendahuluan) PENDAHULUAN.pdf - Published Version Download (45kB)
	Text (Penutup) PENUTUP.pdf - Published Version Download (34kB)
	Text (Daftar Pustaka) DAFTAR PUSTAKA BENAR 2.pdf - Published Version Download (345kB)
	Text (Thesis Full Text) Thesis Full Text.pdf Restricted to Repository staff only Download (6MB) | Request a copy

Abstract

A monitoring system for river flow and water quality using sensorequipped buoys and the Internet of Things (IoT) concept has been developed. An ESP32 NodeMCU microcontroller integrated with WiFi and compatible with Arduino IDE is used in the system. The buoy is equipped with GPS to determine position and flow speed and sensors to measure water quality parameters of turbidity, pH, and temperature. Data on position, flow velocity, and water quality parameters are transmitted over a WiFi network using the MQTT protocol. The data is recorded by the buoy, uploaded, and displayed on the adafruit.io platform. Positioning was done by comparing the values displayed on the Neo-6M GPS with the Maps application on the smartphone. The results show that the GPS coordinate values are accurate. The water quality parameter values obtained have an error rate of 4.8% for the turbidity sensor, 3.3% for the pH sensor, and 1.02% for the temperature sensor.

Actions (login required)

View Item