Development of Sea Water Quality Modeling System on Autonomous Surface Vehicle for Coral Reef Conservation
2018
Coral reef growth is influenced by several factors: temperature, salinity, depth, waves, currents, turbidity, and irradiation. The condition of coral reefs is very susceptible to damage. The Indonesia coral reef ecosystem condition is quite worrying, coral reef which is in very good condition 6.39%, good condition is 23.40%, enough condition is 35.06% and bad condition 35.15%, so there is need special handling for the damage using a technological approach. Based on this, there are many researches aimed at coral reef conservation, one of them is ASV (Autonomous Surface Vehicle). ASV in this study using a sensor array approach, which consists of: PH sensor, temperature sensor, turbidity sensor, sensor DO (Dioxide Oxygen), and sensors of carbon dioxide. This study aims to model the quality of sea water on coral reefs. The data obtained from the ASV sensor is processed in the system using Fuzzy algorithm. This modelling will produce three classes: good, medium and dangerous. Classes generated by the system will then be used to determine the appropriate type of treatment of coral reefs. The accuracy of the research is 93.34%. Based on the value of accuracy produced, the system developed by this research is expected to facilitate monitoring and assist in overcoming coral reef damage which later can be followed up with conservation of marine ecosystem.
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