| dc.contributor.advisor | Sawaluddin | |
| dc.contributor.advisor | Sitompul, Opim Salim | |
| dc.contributor.author | Astuti, Yuniar Andi | |
| dc.date.accessioned | 2021-07-19T03:08:46Z | |
| dc.date.available | 2021-07-19T03:08:46Z | |
| dc.date.issued | 2011 | |
| dc.identifier.uri | http://repositori.usu.ac.id/handle/123456789/36757 | |
| dc.description.abstract | This study examines techniques Support Vector Regression and Decision Tree C4.5 has
been used in studies in various fields, in order to know the advantages and disadvantages
of both techniques that appear in Data Mining. From the ten studies that use both
techniques, the results of the analysis showed that the accuracy of the SVR technique for
59,64% and C4.5 for 76,97% So in this study obtained a statement that C4.5 is better than
SVR | en_US |
| dc.description.abstract | Penelitian ini mengkaji teknik Support Vector Regression dan Decision Tree C4.5 yang
telah digunakan dalam penelitian-penelitian di berbagai bidang, dengan tujuan untuk
mengetahui kelebihan dan kekurangan dari kedua teknik tersebut yang ada dalam Data
Mining. Dari sepuluh penelitian yang menggunakan kedua teknik tersebut, hasil analisis
menunjukkan bahwa akurasi teknik SVR sebesar 59,64% dan C4.5 sebesar 76,97%
Sehingga dalam penelitian ini didapat pernyataan bahwa C4.5 lebih baik dari SVR. | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | Universitas Sumatera Utara | en_US |
| dc.subject | Support Vector Regression | en_US |
| dc.subject | Decision Tree | en_US |
| dc.subject | C4.5 | en_US |
| dc.subject | Data Mining | en_US |
| dc.title | Analisis Perbandingan Teknik Support Vector Regression (SVR) dan Decision Tree C4.5 dalam Data Mining | en_US |
| dc.type | Thesis | en_US |
| dc.identifier.nim | NIM097038020 | |
| dc.description.pages | 69 Halaman | en_US |
| dc.description.type | Tesis Magister | en_US |
