Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 3

RANCANG BANGUN APLIKASI PENDETEKSIAN KESAMAAN PADA DOKUMEN TEKS MENGGUNAKAN ALGORITMA ENHANCED CONFIX STRIPPING DAN ALGORITMA WINNOWING

SemanTIK: Teknik Informasi · Vol. 4 No. 2 (2018) · pp. 1–10

DOI
10.55679/semantik.v4i2.4335
ISSN
2502-8928, 2460-1446
Published
2018-09-04
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

With the development of technology, the increase of acts of plagiarism in the world of education. Many students who did plagiarism in doing their task, thesis etc. Therefore, an application that can detect the similarity between text documents is required. This research used Enhanced Confix Stripping (ECS) Stemmer algorithm for text stemming process and Winnowing algorithm to calculate the similarity between documents. By specifying the gram and window values of the Winnowing algorithm, it made easier for the user to use the application without being confused to determine the value of the gram and the window to produce an accurate equality value. From the test results 5 pairs of chapters 1 thesis of students who categorized together produced a similarity score of about 45-20%.Keywords: Enhanced Confix Stripping (ECS) Stemmer, Winnowing, Similarity, Plagiarism.DOI: 10.5281/zenodo.1407866

Collaboration network of the authors

40 authors · 95 co-authorship links · 16 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
  • Institut Teknologi Sepuluh Nopember
  • Hasanuddin University
  • Universitas Sembilanbelas November Kolaka
  • Universitas Cokroaminoto Palopo
  • Universitas Mega Buana Palopo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Suharsono BantunUniversitas Sembilanbelas November Kolaka4
Sutardi SutardiUniversitas Halu Oleo4
Bambang PramonoUniversitas Halu Oleo4
LM. Fid AksaraUniversitas Halu Oleo3
Ika Purwanti NingrumUniversitas Halu Oleo3
Jumadil NangiUniversitas Halu Oleo3
Rahmat RamadhanUniversitas Halu Oleo2
Nirsal NirsalUniversitas Cokroaminoto Palopo2
Asri SamsudinUniversitas Halu Oleo1
Mutmainnah MuchtarInstitut Teknologi Sepuluh Nopember1
Agus Zainal ArifinInstitut Teknologi Sepuluh Nopember1
Mohammad ZarkasiInstitut Teknologi Sepuluh Nopember1
Chastine FatichahInstitut Teknologi Sepuluh Nopember1
Nanik SuciatiInstitut Teknologi Sepuluh Nopember1
Fransisca Joanet PontohHasanuddin University1
Amil Ahmad IlhamHasanuddin University1
Ingrid NurtanioHasanuddin University1
Rabiuldien AmatUniversitas Halu Oleo1
Linda Purnama MuriUniversitas Halu Oleo1
Muh. Abdi FahmiAffiliation unknown1
Andi PrawirawanAffiliation unknown1
Abdul MalikUniversitas Mega Buana Palopo1
Muhammad YusufUniversitas Halu Oleo1
Michiko Rezky AmaliaAffiliation unknown1
L.M TajidunAffiliation unknown1
Rahmayunita RahmayunitaAffiliation unknown1
Rizal Adi SaputraUniversitas Halu Oleo1
Akhmad IrsyadAffiliation unknown1
Dewi Dessy SupraptiAffiliation unknown1
Andi Nur Melly AulianiAffiliation unknown1
Muhammad SyaifulAffiliation unknown1
Risna RisnaAffiliation unknown1
Zul UswaAffiliation unknown1
Anisa SangsariAffiliation unknown1
Armin PesipariAffiliation unknown1
Fitri AmaliahUniversitas Halu Oleo1
Subardin SubardinUniversitas Halu Oleo1

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 Okt 2026, last seen 29 Okt 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">RANCANG BANGUN APLIKASI PENDETEKSIAN KESAMAAN PADA DOKUMEN TEKS MENGGUNAKAN ALGORITMA ENHANCED CONFIX STRIPPING DAN ALGORITMA WINNOWING</dc:title>
	<dc:creator>Khidfi, Muhammad Nur</dc:creator>
	<dc:creator>Isnawaty, Isnawaty</dc:creator>
	<dc:creator>Sari, Jayanti Yusmah</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:description xml:lang="en-US">With the development of technology, the increase of acts of plagiarism in the world of education. Many students who did plagiarism in doing their task, thesis etc. Therefore, an application that can detect the similarity between text documents is required. This research used Enhanced Confix Stripping (ECS) Stemmer algorithm for text stemming process and Winnowing algorithm to calculate the similarity between documents. By specifying the gram and window values of the Winnowing algorithm, it made easier for the user to use the application without being confused to determine the value of the gram and the window to produce an accurate equality value. From the test results 5 pairs of chapters 1 thesis of students who categorized together produced a similarity score of about 45-20%.Keywords: Enhanced Confix Stripping (ECS) Stemmer, Winnowing, Similarity, Plagiarism.DOI: 10.5281/zenodo.1407866</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>2018-09-04</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/4335</dc:identifier>
	<dc:identifier>10.55679/semantik.v4i2.4335</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 4, No 2 (2018): semanTIK; 1-10</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v4i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/4335/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 semanTIK</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>