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Open access Jurnal SINTA 2

Analisis Fitur Kalimat untuk Peringkas Teks Otomatis pada Bahasa Indonesia

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 5 No. 2 (2011)

DOI
10.22146/ijccs.2019
ISSN
2460-7258, 1978-1520
Published
2011-07-31
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Abstract— Automatic Text Summarization (ATS) is a technique to create a summary of the document automatically by using computer applications to produce the most important information from the original document. Features are required to perform weighting of sentences, including Log-TFISF (term frequency index sentence frequency), sentence location, sentence overlap, title overlap and sentence relative length. This research conducted an analysis of five features in order to determine the weights of each feature that will get the results of a coherent summary. The five features are implemented in automated text summarization system in Indonesian language that was developed using the method of relative importance of topics. Results from experiments show that sentence location feature has the highest F-Measures namely 0.46 and then consecutive sentence overlap, title overlap, sentence relative length and Log-TFISF, with a value of 0.42, 0.42, 0.35 and 0.32. Relative weights of feature extraction consecutive from the largest are sentence location, sentence overlap, title overlap, sentence relative length and Log-TFISF with a value of 0.25, 0.22, 0.22, 0.19 and 0.12. These relative weights are implemented on ATS, so we get accuracy of 70.62%. It is more accurate 2,86% than without relative weights which accuracy of 67,72%...Keywords— Automatic Text Summarization (ATS), Log-TFISF, sentence location, sentence overlap, title overlap, sentence relative length, bahasa Indonesia

Collaboration network of the authors

28 authors · 28 co-authorship links · 7 across different organisations

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

  • Universitas Gadjah Mada
  • Universitas Airlangga
  • Indonesia University of Education
  • Instituto Profissional de Canossa - IPDC
  • Universitas Halu Oleo
  • Institut Teknologi Telkom Purwokerto
  • Universitas Widya Dharma Klaten
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sandi Fajar RodiyansyahIndonesia University of Education2
Mardi Siswo UtomoUniversitas Gadjah Mada1
Agustinus JacobusUniversitas Gadjah Mada1
Sulistyowati SulistyowatiAffiliation unknown1
Noviah Dwi PutrantiUniversitas Gadjah Mada1
Ambarwati AmbarwatiInstituto Profissional de Canossa - IPDC1
Agus Sasmito AriwibowoAffiliation unknown1
Eka KaryawatiUniversitas Gadjah Mada1
Robynson AmsekeAffiliation unknown1
Natalis RansiUniversitas Halu Oleo1
Sumarni AdiUniversitas Gadjah Mada1
Lutfi Budi IlmawanUniversitas Gadjah Mada1
Wayan Gede Suka ParwitaUniversitas Gadjah Mada1
Fadhila Tangguh AdmojoUniversitas Gadjah Mada1
Siti KhomsahInstitut Teknologi Telkom Purwokerto1
Doni SetyawanUniversitas Widya Dharma Klaten1
Fajar RatnawatiPoliteknik Negeri Bengkalis1
Ira ZulfaUniversitas Gadjah Mada1
Rakhmad IkhsanudinUniversitas Gadjah Mada1
Junanda PatihullahUniversitas Gadjah Mada1
Wafda RifaiUniversitas Gadjah Mada1
Sigit PriyantaUniversitas Gadjah Mada1
Sholikin Ady ChandraUniversitas Gadjah Mada1
Putri Rizki AmaliaUniversitas Gadjah Mada1
Angel Berta Desi SuryantiUniversitas Gadjah Mada1
Fahmi Reza PrasastioUniversitas Gadjah Mada1

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://journal.ugm.ac.id/ijccs/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Analisis Fitur Kalimat untuk Peringkas Teks Otomatis pada Bahasa Indonesia</dc:title>
	<dc:creator>Zaman, Badrus</dc:creator>
	<dc:creator>Winarko, Edi</dc:creator>
	<dc:description xml:lang="en-US">Abstract— Automatic Text Summarization (ATS) is a technique to create a summary of the document automatically by using computer applications to produce the most important information from the original document. Features are required to perform weighting of sentences, including Log-TFISF (term frequency index sentence frequency), sentence location, sentence overlap, title overlap and sentence relative length. This research conducted an analysis of five features in order to determine the weights of each feature that will get the results of a coherent summary. The five features are implemented in automated text summarization system in Indonesian language that was developed using the method of relative importance of topics. Results from experiments show that sentence location feature has the highest F-Measures namely 0.46 and then consecutive sentence overlap, title overlap, sentence relative length and Log-TFISF, with a value of 0.42, 0.42, 0.35 and 0.32. Relative weights of feature extraction consecutive from the largest are sentence location, sentence overlap, title overlap, sentence relative length and Log-TFISF with a value of 0.25, 0.22, 0.22, 0.19 and 0.12. These relative weights are implemented on ATS, so we get accuracy of 70.62%. It is more accurate 2,86% than without relative weights which accuracy of 67,72%.. .Keywords— Automatic Text Summarization (ATS), Log-TFISF, sentence location, sentence overlap, title overlap, sentence relative length, bahasa Indonesia</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="en-US">IndoCEISS</dc:contributor>
	<dc:date>2011-07-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/2019</dc:identifier>
	<dc:identifier>10.22146/ijccs.2019</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 2 (2011): July</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/2019/1823</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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