Murdyahanjani, Galih Aulia (2027) SISTEM REALTIME UNTUK MONITORING KETINGGIAN AIR WADUK DI DESA KARANGKATES. Project Report (Praktek Kerja Lapang). Galih Aulia Murdyahanjani, Surabaya. (Unpublished)
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Abstract
Realtime System for Monitoring Reservoir Water Level in Karangkates Village aims to develop a real-time reservoir water level monitoring system using Internet of Things (IoT) technology. The system utilizes the ESP8266 microcontroller and HC-SR04 ultrasonic module installed in Karangkates Reservoir, Malang, to measure the water level continuously. The data collected by the sensors is then sent via the MQTT protocol to a HiveMQ broker and stored in a MySQL database hosted on AWS RDS. A backend application built using Node.js and Express.js runs on AWS EC2, processes the data and presents it through an interactive web interface. Data visualization is done using Chart.js and displayed in tables that are updated in real- time using WebSocket with the help of Socket.io library. This project provides an effective and accurate monitoring solution, assisting reservoir managers in making decisions related to water management and flood risk mitigation. In its implementation, the system provided significant benefits such as more effective monitoring, early detection of potential flood hazards, and support in faster and more accurate decision-making. Although the project faced some challenges, such as limited access to the AWS lab but the implemented solution successfully overcame these obstacles. Some of the solutions implemented include optimizing resources, and using edge computing technology for temporary data processing. In addition, there are several development suggestions that can improve the performance and benefits of this system. One of them is to extend the AWS lab limit access to increase the flexibility of testing and development. Improving the user interface is also important to make the website more attractive and user-friendly. The implementation of additional features such as reservoir height status identification and real-time notification system will be very useful to provide early warning to users regarding reservoir conditions. Improved data analysis algorithms using machine learning or AI can provide deeper insights and help in predicting trends and patterns that may not be visible through manual analysis. Overall, this project demonstrates the great potential of using IoT technology in more effective and responsive water resources management. By adopting the development suggestions mentioned, the realtime water level monitoring system using IoT can be further improved, making it a more effective and comprehensive tool in reservoir water level monitoring and management.
| Item Type: | Monograph (Project Report (Praktek Kerja Lapang)) | ||||||||
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| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T58.6-58.62 Management Information Systems |
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| Divisions: | Faculty of Computer Science > Departemen of Information Systems | ||||||||
| Depositing User: | Galih Aulia Murdyahanjani | ||||||||
| Date Deposited: | 18 Jul 2025 04:14 | ||||||||
| Last Modified: | 18 Jul 2025 04:14 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/37563 |
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