Perfecting a Video Game with Game Metrics
Vol 18, No 1: February 2020

Latent semantic analysis and cosine similarity for hadith search engine

Wahyudin Darmalaksana (UIN Sunan Gunung Djati Bandung)
Cepy Slamet (UIN Sunan Gunung Djati Bandung)
Wildan Budiawan Zulfikar (UIN Sunan Gunung Djati Bandung)
Imam Fahmi Fadillah (UIN Sunan Gunung Djati Bandung)
Dian Sa’adillah Maylawati (UIN Sunan Gunung Djati Bandung)
Hapid Ali (UIN Sunan Gunung Djati Bandung)



Article Info

Publish Date
01 Feb 2020

Abstract

Search engine technology was used to find information as needed easily, quickly and efficiently, including in searching the information about the hadith which was a second guideline of life for muslim besides the Holy Qur'an. This study was aim to build a specialized search engine to find information about a complete and eleven hadith in Indonesian language. In this research, search engines worked by using latent semantic analysis (LSA) and cosine similarity based on the keywords entered. The LSA and cosine similarity methods were used in forming structured representations of text data as well as calculating the similarity of the keyword text entered with hadith text data, so the hadith information was issued in accordance with what was searched. Based on the results of the test conducted 50 times, it indicated that the LSA and cosine similarity had a success rate in finding high hadith information with an average recall value was 87.83%, although from all information obtained level of precision hadith was found semantically not many, it was indicated by the average precision value was 36.25%.

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Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...