Open AccessComparing the Performance of Reverse Colussi and Raita in Finding Indonesian Text
Author(s) -
Jos Timanta Tarigan,
Rahmat Fajar,
Amer Sharif
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1235/1/012092
Subject(s) - indonesian , computer science , lyrics , android (operating system) , string searching algorithm , task (project management) , string (physics) , natural language processing , artificial intelligence , information retrieval , algorithm , pattern matching , mathematics , operating system , linguistics , engineering , art , philosophy , literature , mathematical physics , systems engineering
The availability of various string-matching algorithm raises the concern of finding the one with the best performance. With the growth of digital content, especially a text-based content, using an optimal algorithm is crucial to decrease the cost of performing a task. There are numerous studies using a specific content to evaluate the performance of ones algorithm. In this paper, we chose two commonly used string-matching algorithm; Reverse Colussi and Raita and compare the performance of these algorithm in finding text in Indonesian language. We specifically use Indonesian songs lyrics as our samples. To perform the test, we build and text-based song finder Android application. Our test result shows that Raita outperformed Reverse Colussi in most of the cases. This finding is due to the requirement of Reverse Colusi algoritm to have pre-processing step before performing the search.