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The study of potential fishing zones (PFZ) in Indonesia has been recognized for decades after the introduction of remote sensing technology for fisheries in the 1970s. Sea surface temperature (SST) and Chlorophyll-a concentration are the two main oceanography parameters used to determine potential fishing zones. Despite the popularity of this study, from which many research institutes produce such maps, there is still a big gap in understanding the accuracy of the map with respect to the vessels- behavior. One of the main reasons is the high-cost on validation methods such as conducting field surveys or engaging onboard observers. Furthermore, these methods can only cover a limited number of vessels and locations resulting in inaccuracy of PFZ. Using the available Indonesian VMS data, we can tackle those limitations. We analyze and match the VMS fishing efforts data against PFZ map based on time and distance variations. The PFZ map was sourced from LAPAN for a 1-year period in 2018 covering 6 project areas in the Java Sea, the Sulawesi Sea, the Maluku Sea and the Banda Sea. The VMS fishing effort data comes from Global Fishing Watch fishing algorithm which is run over Indonesian VMS data. The result showed that there were 1,476 vessels confirmed to fish around PFZs within the time variation ranging 1-3 days. The distance of the vessels fishing from the PFZ was less than 6 km. The study suggested that PFZ map has a promising accuracy in forecasting the fishing ground locations. The result can be beneficial in developing the capture fisheries technology by providing science-based advice for reducing the operational cost in searching for the fishing ground.