<p><em>The Kejawanan Archipelago Fishery Port (PPNK) has the right and strategic area in West Java and is included in a fishing port with type B. Fish production obtained in 2020 was 4421.74 tons with catches of fish species, fish groups and SDI groups. . However, it turns out that the data set obtained is still in random form, so it is difficult to determine what types of fish and groups of fish will be produced the most in 2020 at PPN Kejawanan. Therefore, this study aims to determine the accuracy of fish production in 2020 in PPN Kejawanan using the SVM and MLP algorithms, these two models have different levels of accuracy, SVM has an accuracy rate of 62% while MLP has a power level of 92%. Likewise, the evaluation of the precision model and recall of the MLP algorithm which still outperforms SVM, namely 88% and 100%. When compared to SVM is 53% and 0%. Based on the results of the presentation, the researcher can say that the MLP machine learning algorithm is more accurate than the SVM machine learning algorithm, so it is feasible to be applied to determine fishery production in the following year.</em></p>