DETEKSI PLAGIARISME PADA TUGAS MAHASISWA UNIVERSITAS RIAU BERDASARKAN KEMIRIPAN ISI TEKS MENGGUNAKAN ALGORITMA LEVENSHTEIN DISTANCE

Simple item page
dc.contributor.authorWanda, Annisa Fitri
dc.contributor.supervisorSalambue, Roni
dc.date.accessioned2023-08-09T02:40:28Z
dc.date.available2023-08-09T02:40:28Z
dc.date.issued2023-06
dc.description.abstractThere 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.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11103
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectLevenshtein distanceen_US
dc.subjectdocument plagiarismen_US
dc.subjecttext content similarityen_US
dc.titleDETEKSI PLAGIARISME PADA TUGAS MAHASISWA UNIVERSITAS RIAU BERDASARKAN KEMIRIPAN ISI TEKS MENGGUNAKAN ALGORITMA LEVENSHTEIN DISTANCEen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ANNISA FITRI WANDA_compressed.pdf
Size:
225.86 KB
Format:
Unknown data format
Description:
artikel
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Sistem Infomasi