SMART WATER QUALITY MONITORING SYSTEM BASED ON IOT
| dc.contributor.author | NUR ALEESHA IZZATI BINTI JAFRI | |
| dc.date.accessioned | 2026-04-20T07:43:45Z | |
| dc.date.issued | 2025 | |
| dc.description | Monitoring water quality is essential to maintaining human health and environmental safety. Traditional monitoring methods that depend on laboratory testing and manual water sampling are frequently expensive, time-consuming, and insensitive to changes in real time. This project proposes the creation of an Internet of Things (IoT)-based smart water quality monitoring system in order to get around these limitations. The system uses analog sensors that are connected to an Arduino UNO microprocessor to measure important water parameters like turbidity, temperature, and total dissolved solids (TDS). An ESP8266 Wi-Fi module sends the data gathered from these sensors to a web-based dashboard for real-time visualisation. The system was built in several stages, including hardware configuration, sensor integration, data transfer, and web interface creation, due to the Agile development technique. To assess the overall user experience, data transfer dependability, and sensor reading accuracy, functional and usability testing were carried out. The outcomes showed that the system operates dependably for temperature, turbidity, and TDS measurements, with precise and prompt data updates shown on the web dashboard and local LCD. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/390 | |
| dc.language.iso | English | |
| dc.publisher | UNIVERSITI MALAYSIA SARAWAK | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.title | SMART WATER QUALITY MONITORING SYSTEM BASED ON IOT | |
| dc.type | Final Year Project |