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Jurnal SINTA 3

DETEKSI KEMIRIPAN SOURCE CODE PADA BAHASA PEMROGRAMAN JAVA MENGGUNAKAN METODE ANALISIS LEKSIKAL

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

DOI
10.55679/semantik.v2i1.840
ISSN
2502-8928, 2460-1446
Published
2016-04-26
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng

Abstract

Programming Laboratory of Informatics Engineering Department of Engineering Faculty, Halu Oleo University is a learning place for college students majoring in informatics to follow programming class that become one of the standard to determine the student’s level of understanding in creating a program. Similarity detection method using Lexical analysis can be used to convert the programming code into an unique token. This token later used to identify the structure of a program that is being examined. After that, the token that already formed from two different source codes will be sorted alphabetically before entering the string matching process by using arrays. The string matching process will do the matching based on the position of each array. The more the similarities of the structure and the program codes, the more likely the code represented as plagiarism. The percentage value resulting from the token matching process later will be used as reference to determine the percentage of plagiarism in the program. If the similarities percentage greater than 70%, the examined source codes can be considered as plagiarism, but if it less than 70% the examined source codes will be not considered as plagiarism. Keywords— Source Code, Lexical Analysis, Java, Token, Plagiarism.

Collaboration network of the authors

40 authors · 115 co-authorship links · 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
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sutardi SutardiUniversitas Halu Oleo6
Adha Mashur SajiahUniversitas Halu Oleo5
Statiswaty StatiswatyUniversitas Halu Oleo5
Jumadil NangiUniversitas Halu Oleo4
Isnawaty IsnawatyUniversitas Halu Oleo4
Natalis RansiUniversitas Halu Oleo3
Ika Purwanti NingrumUniversitas Halu Oleo3
Isnawaty IsnawatyAffiliation unknown3
LM TajidunUniversitas Halu Oleo2
Rahmat RamadhanUniversitas Halu Oleo2
Muhammad Ishak JaelaniUniversitas Halu Oleo2
Mustarum MusaruddinUniversitas Halu Oleo2
LM. Fid AksaraUniversitas Halu Oleo2
Nur Imran RuslanAffiliation unknown2
Nurul Hajra Hadijah HajraUniversitas Halu Oleo1
Hasmina Tari MokuiUniversitas Halu Oleo1
Muh. Nadzirin Anshari NurUniversitas Halu Oleo1
Abdul KadirUniversitas Halu Oleo1
Aditya PutraUniversitas Halu Oleo1
StatiswatyUniversitas Halu Oleo1
Hastuti HastutiAffiliation unknown1
Jayanti Yusmah SariUniversitas Halu Oleo1
Linda Purnama MuriUniversitas Halu Oleo1
Niarma NiarmaUniversitas Halu Oleo1
Wa Ode ErmaliantiUniversitas Halu Oleo1
Gusti Made Cahya WiarjayaAffiliation unknown1
Azkar KumalaAffiliation unknown1
Hardiman HardimanAffiliation unknown1
Muh YaminUniversitas Halu Oleo1
Ibnu HunaisAffiliation unknown1
Tamsil TajsamAffiliation unknown1
Ramadhin ZaidUniversitas Halu Oleo1
Masna JumiyatiAffiliation unknown1
La Ode HasnuddinAffiliation unknown1
Apriadi BaharAffiliation unknown1
Laode Hasnuddin S SagalaAffiliation unknown1
La AneAffiliation 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 Okt 2026, last seen 29 Okt 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">DETEKSI KEMIRIPAN SOURCE CODE PADA  BAHASA PEMROGRAMAN JAVA MENGGUNAKAN  METODE ANALISIS LEKSIKAL</dc:title>
	<dc:creator>Hermansyah, Holis</dc:creator>
	<dc:creator>Pramono, Bambang</dc:creator>
	<dc:creator>Subardin, Subardin</dc:creator>
	<dc:description xml:lang="en-US">Programming Laboratory of Informatics Engineering Department of Engineering Faculty, Halu Oleo University is a learning place for college students majoring in informatics to follow programming class that become one of the standard to determine  the student’s level of understanding in creating a program.    Similarity detection method using Lexical analysis can be used to convert the programming code  into an unique  token. This  token  later used to identify the structure of a program that is being examined. After that, the  token  that already formed from two different  source  codes will be sorted alphabetically before entering the string matching process by using  arrays. The string matching process will do the matching based on the position of each  array. The more the  similarities of the structure and the program codes, the more likely the code represented as plagiarism. The percentage value resulting from the token matching process later will be used as reference to determine the percentage of plagiarism in the program. If the similarities percentage greater than 70%, the examined  source  codes can be considered as plagiarism, but if it less than 70% the examined source codes will be not considered as plagiarism.  Keywords— Source Code, Lexical Analysis, Java, Token, 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>2016-04-26</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/840</dc:identifier>
	<dc:identifier>10.55679/semantik.v2i1.840</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/840/pdf</dc:relation>
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