| dc.contributor.author | Nasution, Elvira Hanum | |
| dc.date.accessioned | 2022-12-08 | |
| dc.date.available | 2022-12-08 | |
| dc.date.issued | 2021 | |
| dc.identifier.uri |
https://garuda.kemdikbud.go.id/documents/detail/2573836
| |
| dc.description.abstract |
ABSTRACT
PT. LNK Basilam Gardens is a large private plantation located in Basilam Gardens, Langkat Regency. Every year this company has problems in predicting the yield of palm oil production. Improper production results are the cause of errors in policy making. The planning that is done sometimes still gives less than optimal results. This is because the calculation process is still using manual analysis. The prediction technique used is the C5.0 algorithm learning method. This method has the advantage of dealing with problems such as missing values and large amounts of data. This algorithm can also do data training in a fast time for use in testing data. The data used is production data in 2019.
Key words: Production, Palm oil, Data mining, Algorithm C5.0.
| en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universitas Harapan Medan | en_US |
| dc.subject | DATA MINING UNTUK MEMPREDIKSI HASIL PRODUKSI BUAH KELAPA SAWIT MENGGUNAKAN ALGORITMA C5.0 | en_US |
| dc.title | PENERAPAN DATA MINING UNTUK MEMPREDIKSI HASIL PRODUKSI BUAH KELAPA SAWIT PADA PT.LNK KEBUN BASILAM MENGGUNAKAN ALGORITMA C5.0 | en_US |
| dc.type | Skripsi | en_US |
