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

RISMAYANI, ADINDA AISYAH and Abdiansah, Abdiansah and Yusliani, Novi (2022) SISTEM PENCARIAN AYAT AL-QUR’AN BERDASARKAN KEMIRIPAN PENGUCAPAN MENGGUNAKAN ALGORITMA DOUBLE METAPHONE DAN JARO-WINKLER DISTANCE. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021181722074.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_55201_09021181722074_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (7MB) | Request a copy
Preview	Text RAMA_55201_09021181722074_0001108401_0008118205_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55201_09021181722074_0001108401_0008118205_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (397kB) | Request a copy
	Text RAMA_55201_09021181722074_0001108401_0008118205_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (451kB) | Request a copy
	Text RAMA_55201_09021181722074_0001108401_0008118205_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (577kB) | Request a copy
	Text RAMA_55201_09021181722074_0001108401_0008118205_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (461kB) | Request a copy
	Text RAMA_55201_09021181722074_0001108401_0008118205_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (111kB) | Request a copy
	Text RAMA_55201_09021181722074_0001108401_0008118205_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (174kB) | Request a copy
	Text RAMA_55201_09021181722074_0001108401_0008118205_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (148kB) | Request a copy

Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Pencarian, Pencocokan string, Al-Qur’an, Double Metaphone, Jaro-Winkler Distance.
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Adinda Aisyah Rismayani
Date Deposited:	16 Jan 2023 03:17
Last Modified:	16 Jan 2023 03:17
URI:	http://repository.unsri.ac.id/id/eprint/86294

Actions (login required)

View Item