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Journal SINTA 3

APLIKASI PENDETEKSI KEMIRIPAN ISI TEKS DOKUMEN MENGGUNAKAN METODE LEVENSHTEIN DISTANCE

SemanTIK: Teknik Informasi · Vol. 2 No. 1 (2016)

DOI
10.55679/semantik.v2i1.1030
ISSN
2502-8928, 2460-1446
Published
2016-04-18
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng

Abstract

The rapidly evolving information technology brings positive and negative impacts to the lives One of the negative impacts is plagiarism. Plagiarism is the act of plagiarizing the work of others and recognize as his own handiwork. Therefore, detection of plagiarism needs to be done to reduce plagiarism against other people's work. This thesis aims to detect text document similarity algorithm using Levenshtein Distance so that it can be used to help determine plagiarism. Type of document to be tested is.docx and.pdf.txt. Stages in the system is preprocessing that consist of Case Folding, tokenizing, Filtering, Stemming, Sorting. After the preprocessing the next step is to do the calculation using the method Levenshtein Distance and penggukuran value of similarity thus getting a percentage value of the similarity between the two documents. In testing using real data ie data documents berplagiat with Levenshtein Distance algorithm produces a high similarity value is above 77% to 100% for the document that a high level of similarity. As for the document with a low degree of similarity or not berplagiat then generate similarity values ​​below 40%. Keywords— Document, Levenshtein Distance, Preprocessing, Similarity, Plagiarism

Collaboration network of the authors

40 authors · 133 co-authorship links · 8 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Universitas Sembilanbelas November Kolaka
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Bambang PramonoUniversitas Halu Oleo9
Jumadil NangiUniversitas Halu Oleo8
LM TajidunUniversitas Halu Oleo7
LM. Fid AksaraUniversitas Halu Oleo7
Ika Purwanti NingrumUniversitas Halu Oleo7
Isnawaty IsnawatyAffiliation unknown5
Statiswaty StatiswatyUniversitas Halu Oleo5
Natalis RansiUniversitas Halu Oleo4
Adha Mashur SajiahUniversitas Halu Oleo4
Nur Fajriah MuchlisUniversitas Halu Oleo3
Rizal Adi SaputraUniversitas Halu Oleo3
Mutmainnah MuchtarUniversitas Sembilanbelas November Kolaka2
LM Bahtiar AksaraUniversitas Halu Oleo2
L.M. Fid AksaraUniversitas Halu Oleo2
Muh. Ihsan SaritaUniversitas Halu Oleo2
Muh YaminUniversitas Halu Oleo2
Afriyadin AfriyadinAffiliation unknown1
Andi PrawirawanAffiliation unknown1
Mulatifa LalihaUniversitas Halu Oleo1
Muhammad YusufUniversitas Halu Oleo1
Gusti Made Cahya WiarjayaAffiliation unknown1
Sari Fatiqah AyuAffiliation unknown1
Azkar KumalaAffiliation unknown1
Ayu Septiana SariAffiliation unknown1
Rahmayunita RahmayunitaAffiliation unknown1
Nike SyafitriUniversitas Halu Oleo1
Yuwanda Purnamasari PasrunUniversitas Sembilanbelas November Kolaka1
Muh Iskandar Z. AAffiliation unknown1
Nur Arifah SyafitriAffiliation unknown1
Anita Puspita DewiAffiliation unknown1
Resti IdayaniAffiliation unknown1
Ramadhin ZaidUniversitas Halu Oleo1
Adnan HidayatUniversitas Halu Oleo1
Muhammad FajarAffiliation unknown1
Risna RisnaAffiliation unknown1
Aswani AswaniAffiliation unknown1
Sri Wayun WardaniAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/semantik/oai, first harvested 29 Oct 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">APLIKASI PENDETEKSI KEMIRIPAN ISI TEKS DOKUMEN MENGGUNAKAN METODE LEVENSHTEIN DISTANCE</dc:title>
	<dc:creator>Ariyani, Na’firul Hasna</dc:creator>
	<dc:creator>Sutardi, Sutardi</dc:creator>
	<dc:creator>Ramadhan, Rahmat</dc:creator>
	<dc:description xml:lang="en-US"> The rapidly evolving information technology brings positive and negative impacts to the lives One of the negative impacts is plagiarism. Plagiarism is the act of plagiarizing the work of others and recognize as his own handiwork. Therefore, detection of plagiarism needs to be done to reduce plagiarism against other people's work. This thesis aims to detect text document similarity algorithm using Levenshtein Distance so that it can be used to help determine plagiarism. Type of document to be tested is .docx and .pdf .txt. Stages in the system is preprocessing that consist of Case Folding, tokenizing, Filtering, Stemming, Sorting. After the preprocessing the next step is to do the calculation using the method Levenshtein Distance and penggukuran value of similarity thus getting a percentage value of the similarity between the two documents. In testing using real data ie data documents berplagiat with Levenshtein Distance algorithm produces a high similarity value is above 77% to 100% for the document that a high level of similarity. As for the document with a low degree of similarity or not berplagiat then generate similarity values ​​below 40%.   Keywords— Document, Levenshtein Distance, Preprocessing, Similarity, Plagiarism</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2016-04-18</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/semantik/article/view/1030</dc:identifier>
	<dc:identifier>10.55679/semantik.v2i1.1030</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 2, No 1 (2016): semanTIK</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v2i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/1030/661</dc:relation>
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