Prediction of Successful Harvest of Vaname Shrimp Pond at PT FEI With Machine Learning Approach

The demand for shrimp from Indonesia continues to increase every year, thus creating greater interest in the farming industry. Although is relatively easy farm, many variables affect success of harvest. harvest calculated using % SR (Survival Rate). In our research, we used machine learning approaches, namely decision tree (DT) and k-Nearest Neighbor (KNN). DT KNN will be predict whether have a successful From these predictions, also provide suggestions business improvements utilize data. expected result such advice that can improve its performance get more consistent results.