Skripsi
IMPLEMENTASI SISTEM DECISION MAKING BERDASARKAN KUALITAS AIR BERBASIS TYPE 2 FUZZY LOGIC PADA KERAMBA JARING APUNG OTOMATIS
Fish farming with floating net cages (KJA) is one method of making use of Indonesia's marine resources. Regrettably, KJA's shortcoming is the accumulation of fish feed, which lowers the quality of the water. As a result, this study will create a decision-making system that KJA can use to move autonomously and use Type 2 Fuzzy Logic (T2FL) to locate the optimal site for high-quality water. Four buoys that contain actuators in the form of motors will help KJA by moving around automatically. Water quality sensors will be fitted in each buoy and KJA. In this study, pH, temperature, and dissolved oxygen (DO) are the three factors that are used to determine the quality of the water. According to the simulation results using VSCode and Matlab, T2FL produces an output that is higher than Type 1 Fuzzy Logic (T1FL) and is consistent with the established rules, which are 10 for very bad, 20 for bad, 30 for sufficient, 40 for good, and 50 for very good. The decision-making system can function effectively in real-time testing; for instance, the KJA will hold its position if it produces an output value of 48.99, which is higher than the other values. However, KJA will relocate to buoy 3 when the temperature rises to the point where the output drops and the highest output value is 48.986 at buoy 3. Keywords: KJA, Buoys, T2FL, Decision Making, Output, Water Quality