Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal U-NET Jurnal Teknik Informatika
Yusuf Karim Rambe
Program Studi Ilmu Komputer, Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Identifikasi Tingkat Kemiripan Dokumen Teks Menggunakan Fungsi Hash Pada Algoritma Winnowing Dan Pattern Recognation Pada Algoritma Ratfliff/Obershelp Abdul Halim Hasugian; Yusuf Karim Rambe; Muhammad Siddik Hasibuan
U-NET Jurnal Teknik Informatika Vol. 7 No. 1 (2023): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v7i1.547

Abstract

The development of this very advanced technology in computers era, all document have turned into softcopy file, which can be accessed with computer or smartphone. So many people commit plagiarism by not listed the source and resulting copyright infringement. The plagiarism can be interpreted as an action that takes statements of theft other people’s ideas. In law, patents and intellectual property rights are already regulated In law. Therefore to make it easier for teachers and lecturers in academic. Identification of document is needed to know whether the document includes plagiarism by detecting the similarity of text between documents. Then the authenticity in each document can be maintained its authenticity. The process of identification are using Winnowing and Ratcliff/Obershelp algorithm. Winnowing algorithm is algorithm used to perform the process of checking word similarity (document fingerprint) to identify plagiarism of document. Ratcliff/Obershelp is also used to detect similarities, but it works by returning value that can be userd as a percentage to show the similarity of two strings by calculating the number of characters contained in two strings. Both of these algorithm can be used to identify percentage of similarity of text document.
Co-Authors Abdul Halim Hasugian Muhammad Siddik Hasibuan