A Fuzzy Logic Approach to Estimates Fish Productivity at Pekalongan Fishing Port, Indonesia

Various approaches have been employed to assess productivity at fishing ports. However, the utilization of fuzzy logic in this domain remains limited. This study aims to determine the value of fisheries productivity at Pekalongan Fishing Port and make predictions using fuzzy logic techniques. The research relies on secondary data gathered from fish landing records at Pekalongan Fishing Port between 2015 and 2022. The data was processed to establish a fuzzy set with three linguistic variables (low, middle, and high) for each input and output. This process was followed by the fuzzy inference process, culminating in defuzzification to generate precise values. The results were evaluated for accuracy using MAPE to assess the model’s performance. The study found that the Fuzzy method resulted in an MAPE values of 13.20%. The analysis results have the potential to significantly influence decision-making at Pekalongan Fishing Port concerning fisheries resource management, particularly in fish production and supply planning. Leveraging the Fuzzy Logic method enables the prediction of fisheries productivity, offering a valuable tool for ensuring sustainable fisheries management.