Track: IoT

Abstract

Freshwater lobsters have a high mortality rate due to poor water quality or cannibalism between lobsters. In the lobster cultivation process, the process of monitoring water quality and feeding is done manually so that it has problems in the monitoring and feeding process that is carried out at night because lobsters are nocturnal animals. This study uses freshwater crayfish with the type of red claw with a total of 20 lobster seeds in 2 ponds with an Internet of Things-based system and integrated web monitoring and without an IoT system. This study aims to build a system that can increase the survival of freshwater crayfish using an IoT-based system called Smart Lobster Feeder. The analytical methods used include Observation, Literature Study, and Interview. The development method used is the waterfall method with 6 stages of the process, namely Planning, Analysis, Design, Implementation, Testing, and Verification. This research uses the ESP8266 microcontroller, ESP32 Cam, water salinity sensor, pH sensor, temperature sensor, ultrasonic, and website monitoring. The results in this study obtained a sensor error rate value of < 1.5%, UAT results of 94%, automatic feeding according to the specified hour, and a survival rate of 100%. From the study results, it can be concluded that the IoT system can increase the survival rate of freshwater crayfish, has a sensor error rate that is by established standards and is a feasible system to implement.

Keywords:

Freshwater lobster, ESP8266, ESP32, IoT, dashboard monitoring