Development of Sea Water Quality Modeling System on Autonomous Surface Vehicle for Coral Reef Conservation

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.