Prediction of Palm Oil Production Results PT.KSI South Solok Using Ensemble k-Nearest Neighbor

Abstract

In 2022 PT. KSI experienced a decline in palm oil production due to replanting steps. In managing palm oil production PT. KSI has problems with palm oil production results not reaching targets so that it can affect the Company's Work Plan and Budget, therefore it is very necessary to predict palm oil production results so that all palm oil production and processing activities can run according to plan. The ensemble technique is a method which has predictive accuracy capabilities and is very efficient to use in the k-NN method, so there is no need to search for the optimal k value. Based on the results of the analysis that has been carried out, it can be seen that by using an ensemble the level of accuracy is 9.36%, which is considered high accuracy compared to just using a single kNN with k = 1 of 10.84%. So it can be concluded that the model has worked well with the data.