Open AccessDETEKSI KEMIRIPAN SOURCE CODE DENGAN METODE FINGERPRINT BASED DISTANCE DAN LEVENSHTEIN DISTANCE
Author(s) -
Jimmy Jimmy,
Viny Christanti Mawardi,
Agus Budi Dharmawan
Publication year - 2018
Publication title -
computatio
Language(s) - English
Resource type - Journals
eISSN - 2549-2829
pISSN - 2549-2810
DOI - 10.24912/computatio.v2i1.1478
Subject(s) - levenshtein distance , fingerprint (computing) , copying , plagiarism detection , edit distance , computer science , similarity (geometry) , code (set theory) , source code , precision and recall , distance measurement , information retrieval , artificial intelligence , programming language , law , set (abstract data type) , political science , image (mathematics)
The ease of accessing information makes easier to do plagiarism. Plagiarism not only applied to written essay, but these day copying other people’s program is also considered as plagiarism. This paper will researching an method to automatically calculating the similarity of pair of source code. The method used are fingerprint based distance and Levenshtein Distance. The result will be measured in accuracy, precision, and recall. The result is in some dataset, levenshtein distance is better than fingerprint based distance for detecting plagiarism in student’s code especially beginner in C++.