| dc.contributor.advisor | Zarlis, Muhammad | |
| dc.contributor.advisor | Efendi, Syahril | |
| dc.contributor.author | Rosnita, Lidya | |
| dc.date.accessioned | 2022-09-27T01:23:27Z | |
| dc.date.available | 2022-09-27T01:23:27Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/50311 | |
| dc.description.abstract | In general, in the world of image processing to recognize a pattern can be given some
training beforehand. In this paper, the patten detection in the image of tajweed of the
Al-Qur'an uses four iqlab tajweed pattern, with two different algorithms, ie
Bidirectional Associative Memory algorithm and Fuzzy Associative Memory
algorithm which will then measured their performance based on eight different
sensitive values. | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | Universitas Sumatera Utara | en_US |
| dc.subject | Bidirectional Associatve Memory | en_US |
| dc.subject | Fuzzy Associative Memory | en_US |
| dc.subject | True Detection | en_US |
| dc.subject | Pendeteksian Pola | en_US |
| dc.title | Unjuk Kerja Algotitma BAM dan Algoritma FAM untuk Sistem Pendeteksian Pola Tajwid pada Citra Al-Qur'an | en_US |
| dc.type | Thesis | en_US |
| dc.identifier.nim | NIM147038058 | |
| dc.identifier.nidn | NIDN0001075703 | |
| dc.identifier.nidn | NIDN0010116706 | |
| dc.identifier.kodeprodi | KODEPRODI55101#TeknikInformatika | |
| dc.description.pages | 259 Halaman | en_US |
| dc.description.type | Tesis Magister | en_US |
