<![CDATA[The development of the Internet of Things (IoT) provides opportunities to improve the effectiveness and efficiency of aquaculture through automated systems and real-time monitoring. At Cuto Aquatic, conventional feeding practices are prone to delays due to limitations in manual supervision, while water quality monitoring has not been conducted optimally and in real time. This study aims to develop a NodeMCU ESP8266-based smart fish farm technology to automate scheduled feeding and monitor water conditions in real time. The research employed a prototyping approach (prototyping method), consisting of data collection, requirements analysis, hardware and software design, sensor calibration, device testing, data analysis, and conclusion drawing. The developed system integrates a servo motor with a DS18B20 sensor, pH sensor, turbidity sensor, and TDS sensor to measure water quality parameters. The test results demonstrate that the prototype successfully performs feeding according to the predetermined schedule and displays water quality parameter data through a web interface in real time. The implementation of this system helps improve operational efficiency, monitoring accuracy, and the ease of managing fish farming aquariums without requiring periodic manual inspections.]]>
Copyrights © 2026
