Abstract:
There are many students and college students in Indonesia who commit plagiarism.
In addition to online sources, students often plagiarize other students' assignments
or writings. This is very worrying. Teachers and educators must take real measures
to prevent plagiarism from taking root in the world of education. The purpose of this
research is to apply the Levenshtein Distance Algorithm to a computer application
that can calculate the percentage similarity of the textual content of student working
documents to help faculty identify initial plagiarism allegations. The study was
conducted at the Department of Information Systems, Faculty of Mathematics and
Science, Riau University. This study creates a system that can detect the degree of
similarity between text documents using the Levenshtein distance algorithm by
adding a pre-processing process. The string matching process of this algorithm can
produce a distance value that defines a weighted percentage of similarity. The system
will display exam results with a percentage of at least 70% or serious plagiarism.
The test results show that the Levenshtein distance algorithm can be implemented
into the system after the pre-processing steps and is suitable for detecting initial
word-for-word plagiarism claims.
