RANCANG BANGUN APLIKASI PENDETEKSIAN KESAMAAN PADA DOKUMEN TEKS MENGGUNAKAN ALGORITMA ENHACED CONFIX STRIPPING DAN ALGORITMA WINNOWING

Abstract

With the development of technology, the increase of acts of plagiarism in the world of education. Many students who did plagiarism in doing their task and thesis as example. Therefore, an application that is able to detect the similarity between text documents is required. This research used Enhanced Confix Stripping (ECS) Stemmer algorithm for text stemming process and Winnowing algorithm to calculate similarity between documents. By specifying the gram and window values of the Winnowing algorithm, it made easier for the user to use the application without being confused to determine the value of the gram and the window to produce an accurate equality value. From the test results 5 pairs of chapters 1 thesis of students who categorized together produced a similarity score of about 45-20%.