Mesin Pencari SMS berbasis Android dengan Menggunakan Metode N-gram

dc.contributor.advisor	Adisantoso, Julio
dc.contributor.author	Pramudia, Rizky Utama
dc.date.accessioned	2013-06-26T07:37:41Z
dc.date.available	2013-06-26T07:37:41Z
dc.date.issued	2013
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/64307
dc.description.abstract	Search engines Short-Messaging Service (SMS) on mobile devices are still using the exact match method. This method can only find SMS containing words, which one exact matches of the query. Therefore, a method to correct the spelling of the text is needed. Trigram similarity measure method is one of spelling correction methods developed which gives a relatively good performance. Therefore, this study applied the method of N-gram with bigram models and trigram models for SMS in Indonesian. The result of this research is a search engine with an average precision (AVP) 49.6% for bigram models and 80.8% for trigram models.	en
dc.subject	Bogor Agricultural University (IPB)	en
dc.subject	search engine	en
dc.subject	spelling correction	en
dc.subject	trigram	en
dc.subject	bigram	en
dc.subject	N-gram	en
dc.subject	SMS,	en
dc.title	Mesin Pencari SMS berbasis Android dengan Menggunakan Metode N-gram	en