Implementation of data mining analysis to determine the tuna fishing zone using DBSCAN algorithm

Abstract

The aim of this study is to map the tuna fishing zones based on the daily fish catch data from the Hindian Ocean. With the study, it is expected to deliver a potential tuna fishing zones mapping, where it is based on the number of catch along with its spatial data. The study utilized a data mining approach with DBSCAN algorithm as the method to cluster the data. The study yields information that the Bigeye tuna is dominated the catch in the west monsoon, while Yellowfin tuna dominated the catch in the east monsoon. Based on the trial using the DBSCAN algorithm, we know that the optimal Eps and MinPts value are 1.5 and 5 respectively to generate a convergence cluster.