SITUS PENDETEKSIAN KESAMAAN JUDUL SKRIPSI MENGGUNAKAN METODE PENCOCOKAN STRING

Sugilar, Deni (2019) SITUS PENDETEKSIAN KESAMAAN JUDUL SKRIPSI MENGGUNAKAN METODE PENCOCOKAN STRING. Skripsi thesis, Universitas Muhammadiyah Sukabumi.

[img] Text
COVER.pdf

Download (63kB)
[img] Text
LEMBAR PENGESAHAN PEMBIMBING.pdf

Download (301kB)
[img] Text
LEMBAR PERNYATAAN BEBAS PLAGIAT.pdf

Download (315kB)
[img] Text
BAB I.pdf

Download (369kB)
[img] Text
BAB II.pdf
Restricted to Repository staff only

Download (665kB)
[img] Text
BAB III.pdf
Restricted to Repository staff only

Download (219kB)
[img] Text
BAB IV.pdf
Restricted to Repository staff only

Download (740kB)
[img] Text
BAB V.pdf
Restricted to Repository staff only

Download (676kB)
[img] Text
BAB VI.pdf

Download (33kB)

Abstract

Plagiarism is the act of recognizing the work of another person as a result of personal work without the permission of the original owner of the work. Plagiarism in the title of thesis research is very much happening in the digital era like this. In response to this, through the task of this thesis the author builds a system that can be used to detect plagiarism between thesis titles, namely by string matching methods. String matching is one method of document fingerprinting that is used to detect similarities between document text using hashing techniques. This algorithm is chosen because string matching is the best method to get the same data between document text both in terms of accuracy or performance. In this thesis research assignment this string matching method is used to detect an existing document or data. This research was conducted in order to help students or informatics engineering students in the process of checking the similarity of the thesis titles that they would submit for further research. And this detection site also aims to help students or students to submit the titles they will submit.

Item Type: Thesis (Skripsi)
Uncontrolled Keywords: Site, Detecting, Thesis Title Similarity
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika
Depositing User: Perpus ID UMMI
Date Deposited: 18 Dec 2019 03:14
Last Modified: 18 Dec 2019 03:14
URI: http://eprints.ummi.ac.id/id/eprint/1163

Actions (login required)

View Item View Item