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All Journal SemanTIK : Teknik Informasi
Muhammad Nur Khidfi
Jurusan Teknik Informatika, Fakultas Teknik, Universitas Halu Oleo, Kendari
Computer Science & IT Control & Systems Engineering

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RANCANG BANGUN APLIKASI PENDETEKSIAN KESAMAAN PADA DOKUMEN TEKS MENGGUNAKAN ALGORITMA ENHANCED CONFIX STRIPPING DAN ALGORITMA WINNOWING Muhammad Nur Khidfi; Isnawaty Isnawaty; Jayanti Yusmah Sari
semanTIK Vol 4, No 2 (2018): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.875 KB) | DOI: 10.55679/semantik.v4i2.4335

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, thesis etc. Therefore, an application that can 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 the 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%.Keywords: Enhanced Confix Stripping (ECS) Stemmer, Winnowing, Similarity, Plagiarism.DOI: 10.5281/zenodo.1407866
Co-Authors Isnawaty Isnawaty Jayanti Yusmah Sari