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All Journal UNP Journal of Statistics and Data Science
Nilda Yanti
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Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Social Sciences

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Prediction of Palm Oil Production Results PT.KSI South Solok Using Ensemble k-Nearest Neighbor Nilda Yanti; Atus Amadi Putra; Dony Permana; Zilrahmi
UNP Journal of Statistics and Data Science Vol. 2 No. 1 (2024): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol2-iss1/136

Abstract

PT. KSI experienced production decrease that the cause of replanting that happened in 2022. In managing palm oil production PT. KSI has problems with palm oil production results not reaching out the targets so 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 that is capable of making accurate predictions and is used very effectively in the kNN method, therefore there is no need to search for the best 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.
Co-Authors Atus Amadi Putra Dony Permana Zilrahmi, Zilrahmi