Implementation of the Levenshtein Distance Method and Similarities in Checking the Equal Content of the Document Text
Yo Ceng Giap1, Ma’mun Johari2, Pebrianto Indrawan3, Dedih4

1Yo Ceng Giap, Buddhi Darma University, Indonesia.
2Ma’mun Johari, STMIK Muhammadiyah Banten, Indonesia.
3Pebrianto Indrawan, STMIK Muhammadiyah Banten, Indonesia.
4Dedih, STMIK Kharisma Karawang, Indonesia.
Manuscript received on 02 May 2019 | Revised Manuscript received on 14 May 2019 | Manuscript Published on 23 May 2019 | PP: 38-43 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F10070476S519/2019©BEIESP
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Abstract: The development of information technology is growing rapidly and giving positive and negative impact. One positive impact is the ease of searching and exchanging information. Ease that is often misused by some people in select jobs. The purification is one of the negative information technologies. Therefore plagiarism detection needs to be done to reduce plagiarism and raise awareness to get the work of others. The method used by researchers in checking the similarity of the contents of the text of the document is Levenshtein Distance and Similarities. The design of this application uses a storyboard consisting of the initial access page, the main menu and the account creation menu created using Microsoft Visual Studio 2010 as the main software and the presence of Visual Basic language coding as an application builder. Testing the system using the white box method by analyzing the flow of applications and black boxes by testing all the buttons on the application and using a questionnaire to know the opinions of users about the applications that have been made. Based on the result of research can be concluded that with existence this plagiarism detection application helps to improve understanding and awareness which has made it easier for users to get information about plagiarism detection in order not to take action, a solution for users to check the percentage of plagiarism, contained in the contents of the document text owned by the user or even in the web browser internet, who want to check the results of the difference percentage by the user.
Keywords: Applications, Information Technology, Text Document, Detection, Plagiarism, Research.
Scope of the Article: Text Mining