Text

SISTEM PENCARIAN AYAT AL-QUR’AN BERDASARKAN KEMIRIPAN PENGUCAPAN MENGGUNAKAN ALGORITMA DOUBLE METAPHONE DAN JARO-WINKLER DISTANCE

---

Penilaian

---

In The Qur'an there are 114 surahs and 6236 verses, so it is not easy to search for words manually. Most of the search system available today uses Arabic alphabet or exact string matching techniques. This will cause difficulties for people who do not know the exact Arabic of the verse. Because of that, we need a search system for verses of The Qur'an with stiring matching techniques based on similarities in pronunciation. In this study the selected phonetic string matching method is the Double metaphone algorithm. In Double metaphone algorithm, words are converted into primary and secondary phonetic codes. After getting the words that have the same phonetic code, the rank of similarity is measured using the Jaro-Winkler distance algorithm to see the results with high similarity. The test results of the software obtained a precision value of 0.90, a recall value of 0.90, and a correlation value of 0.92.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2207005430	T86294	T862942022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T862942022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xiv, 101 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

004.678 07

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Internet
Jurusan Teknik Informatika

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment