UNIVERSITAS BINA DARMA, UNIVERSITAS BINA DARMA (2022) DATA MINING UNTUK MEMPREDIKSI HASIL PRODUKSI BUAH SAWIT PADA PT BUMI SAWIT SUKSES (BSS) MENGGUNAKAN METODE K-NEAREST NEIGHBOR. DATA MINING UNTUK MEMPREDIKSI HASIL PRODUKSI BUAH SAWIT PADA PT BUMI SAWIT SUKSES (BSS) MENGGUNAKAN METODE K-NEAREST NEIGHBOR.
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Abstract
PT. Bumi Sawit Sukses (BSS) is a company engaged in oil palm plantations. This study discusses Data Mining to Predict Palm Fruit Production Results at PT Bumi Sawit Sukses (BSS) Using Method (K-NN) K-Nearest Neighbor, where the amount of palm oil production is erratic every month. This study aims to use the method (K - NN) K-Nearest Neighbor in Predicting Palm Fruit Production Results for the next period at PT. Bumi Sawit Sukses (BSS). The object of this research is the amount of palm oil production while the data used is historical data from the amount of oil palm production in 2015-2017. By using the K-Nearest Neighbor (K - NN) method, the output from Rapidminer obtained an accuracy of 85.15%, which can be used as a reference for the following year so that the company can make the right decisions if the production of oil palm plants decreases and the company can continue to improve palm oil production.
| Item Type: | Article |
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| Subjects: | S Agriculture > S Agriculture (General) |
| Divisions: | Faculty of Law, Arts and Social Sciences > School of Humanities |
| Depositing User: | Mr Edi Surya Negara |
| Date Deposited: | 16 Jun 2022 01:41 |
| Last Modified: | 16 Jun 2022 01:41 |
| URI: | http://eprints.binadarma.ac.id/id/eprint/11331 |
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