Arwin Datumaya Wahyudi Sumari, Ilyas Annurroni, Astika Ayuningtyas
Fish theft in ponds is a common problem, especially in freshwater fish farms. To solve this problem, a security system that can detect human movement and provide real-time notifications is needed. This research aims to design and implement an Internet of Things (IoT)-based fishpond security system using NodeMCU ESP32-CAM Microcontroller equipped with HB100 Radar Sensor to detect human entity movement with NodeMCU ESP32-CAM to take pictures of the approaching human entity, as well as Arduino Uno R3 to control system inputs and outputs. The system also sends real-time notifications and can be managed independently by a social media application. The results show that the system can detect human movement well, provide real-time notifications, and be handled easily. The test results show that the HB100 Radar Sensor can detect entities with a maximum distance of 9 meters with overall accuracy of 90%, the Buzzer performs well according to the human entity detected by the sensor, the Arduino Uno R3 successfully sends a trigger signal to NodeMCU ESP32-CAM to activate the OV2640 camera to capture the detected human entities with a maximum distance of up to 60 meters with an optimal distance between 1 to 9 meters. Integrated system test results show that all components of the fishpond security system perform 100% well and are prospective to protect a fishpond with an area of 7x7 meter squares. This system provides a solution to reduce fish theft in ponds and delivers real-time information to the fishpond owner. © 2025, Ikatan Ahli Informatika Indonesia. All rights reserved.
Department of Electrical Engineering, State Polytechnic of Malang, Malang, Indonesia; Faculty of Industrial Technology, Adisutjipto Institute of Aerospace Technology, Yogyakarta, Indonesia