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Typo handling in searching of Quran verse based on phonetic similarities

Register: Jurnal Ilmiah Teknologi Sistem Informasi

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Title Typo handling in searching of Quran verse based on phonetic similarities
 
Creator Purwita, Naila Iffah
Bijaksana, Moch Arif
Lhaksmana, Kemas Muslim
Naf’an, Muhammad Zidny
 
Subject autocomplete; Damerau–Levenshtein distance; phonetic similarity; Quran; typographical error
 
Description The Quran search system is a search system that was built to make it easier for Indonesians to find a verse with text by Indonesian pronunciation, this is a solution for users who have difficulty writing or typing Arabic characters. Quran search system with phonetic similarity can make it easier for Indonesian Muslims to find a particular verse.  Lafzi was one of the systems that developed the search, then Lafzi was further developed under the name Lafzi+. The Lafzi+ system can handle searches with typo queries but there are still fewer variations regarding typing error types. In this research Lafzi++, an improvement from previous development to handle typographical error types was carried out by applying typo correction using the autocomplete method to correct incorrect queries and Damerau Levenshtein distance to calculate the edit distance, so that the system can provide query suggestions when a user mistypes a search, either in the form of substitution, insertion, deletion, or transposition. Users can also search easily because they use Latin characters according to pronunciation in Indonesian. Based on the evaluation results it is known that the system can be better developed, this can be seen from the accuracy value in each query that is tested can surpass the accuracy of the previous system, by getting the highest recall of 96.20% and the highest Mean Average Precision (MAP) reaching 90.69%. The Lafzi++ system can improve the previous system.
 
Publisher Information Systems - Universitas Pesantren Tinggi Darul Ulum
 
Contributor Telkom University, Department of Computer Science
 
Date 2020-08-27
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.unipdu.ac.id/index.php/register/article/view/2065
10.26594/register.v6i2.2065
 
Source Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 6, No 2 (2020): July; 130-140
Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 6, No 2 (2020): July; 130-140
2502-3357
2503-0477
10.26594/register.v6i2
 
Language eng
 
Relation https://journal.unipdu.ac.id/index.php/register/article/view/2065/pdf
 
Rights Copyright (c) 2020 Purwita, et al.