Perbandingan Metode Cosine Similarity Dengan Metode Jaccard Similarity Pada Aplikasi Pencarian Terjemah Al-Qur’an Dalam Bahasa Indonesia
Abstrak: Todays there are more
applications supporting Alqurán to facilitate such a study, which could be
called digital AL-Quran. But when using applications digital AL-Quran, which
has many applications users experience difficulties when searching for a word
that users want.This occurs when users misspell a word you want to search and
applications that are not yet able to identify or justify the wrong word. In
this thesis made the information retrieval system that is used to find
information that is relevant to the needs of its users automatically based on
conformity to the query of a collection of information.Algoritma used to
determine the similarity (degree of similarity) or relevant similarity
algoritma, cosine, Jaccard, and nearest neighbor (k-nn) for comparing algoritma
that are more relevant to the translation application alquran. The test result
proves that the cosine similarity algoritma has the highest value with the
percentage of 41% compared with Jaccard 19% algoritma and nearest neighbor
(k-nn) 40% on translation of AL-Quran as much 6326 document and 33 query different
experiments.
Penulis: Ogie Nurdiana, Jumadi
Jumadi, Dian Nursantika
Kode Jurnal: jptinformatikadd161062