Real-Time IoT for Water Quality Monitoring System in Seaweed Aquaculture Ponds

Abstract

Approximately 8.6% of the total marine biota consists of seaweed, which is an abundant biological resource in Indonesian waters. Various types of food, cosmetic ingredients, and other products are made from seaweed. The water quality in ponds greatly affects the growth of Gracillaria sp. seaweed. Poor water quality, such as high levels of pollutants or toxins, can damage seaweed growth. Drastic temperature changes also disrupt the physiological processes and growth of seaweed. The aim of this research is to develop a system that can monitor water quality and display this information in real-time using the Internet of Things. The method used involves measuring temperature, current strength, light intensity, and water pH. These sensors are connected to a microcontroller as the control center, and the data is sent to a website for monitoring purposes so that steps can be taken more quickly to adjust water quality needs.  The integration of sensors and IoT is working well, but the reliability of the sensors still needs to be tested and calibrated. Additionally, adjustments to the environmental conditions around the sensors are necessary for them to function properly.