Implementation of Winnowing Algorithm with Dictionary English-Indonesia Technique to Detect Plagiarism

Abstract

The ease of obtaining information that is easy, fast, and cheap from all over the world through the internet network can encourage someone to take action plagiarism. Plagiarism is an intellectual crime that often occurs in the writing world where the perpetrators take the work of others without declaring the original source; if it continues to be left it will have a negative impact on the academic community and can be a chronic disease in the progress of a nation. At this time, the process of plagiarism detection is done manually and automatically using the help of technological developments (plagiarism detection), but the automatic checks available now mostly just check every letter character contained in the document, cannot check where the plagiarist takes a quote from a foreign language and changed in plagiarist language. Detection of plagiarism in this study will use a winnowing algorithm that has a function to check every character in two samples by hashing method that can generate fingerprint from two documents. While the dictionary method English-Indonesia change the writing from English to Indonesian language. This research will produce plagiarism detection using winnowing algorithm with English-Indonesian dictionary technique.