| dc.contributor.advisor | Prof. Akhmad Fauzy | |
| dc.contributor.author | Fatimah Ayu Azzahra, 13611030 | |
| dc.date.accessioned | 2018-02-01T14:07:11Z | |
| dc.date.available | 2018-02-01T14:07:11Z | |
| dc.date.issued | 2017-10-25 | |
| dc.identifier.uri | https://dspace.uii.ac.id/handle/123456789/5360 | |
| dc.description.abstract | The FP-Growth algorithm is one of the rules association algorithms used to determine the most frequent itemset in a data set D.I Yogyakarta is known as the city of education, tourism and culture has a number of accidents are fairly high. With the area covering 4 districts and 1 city, Sleman regency is an area with high traffic accident level. This study aims to determine the impact on traffic accident data in Sleman District. Provisions are generated using support of 0.01 and a trust score of 0.9. The calculation process provides 12 powerful rules | id |
| dc.publisher | Universitas Islam Indonesia | id |
| dc.subject | FP-Growth | id |
| dc.subject | Frequent itemset | id |
| dc.subject | Lift ratio | id |
| dc.subject | Traffic accidents | id |
| dc.title | PENERAPAN METODE ALGORITMA FP-GROWTH UNTUK ANALISA POLA DATA KECELAKAAN LALU LINTAS DI KABUPATEN SLEMAN (Studi Kasus: Kecelakaan Lalu Lintas di Kabupaten Sleman) | id |
| dc.type | Undergraduate Thesis | id |
