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Jurnal SINTA 2

Ranking the Online Documents Based on Relative Credibility Measures

Journal of ICT Research and Applications (JICTRA) · Vol. 3 No. 1 (2013) · pp. 19–33

DOI
10.5614/itbj.ict.2009.3.1.2
ISSN
2338-5499, 2337-5787
Published
2013-09-13
Publisher
DRI - ITB
Language
eng

Abstract

Information searching is the most popular activity in Internet. Usually the search engine provides the search results ranked by the relevance. However, for a certain purpose that concerns with information credibility, particularly citing information for scientific works, another approach of ranking the search engine results is required. This paper presents a study on developing a new ranking method based on the credibility of information. The method is built up upon two well-known algorithms, PageRank and Citation Analysis. The result of the experiment that used Spearman Rank Correlation Coefficient to compare the proposed rank (generated by the method) with the standard rank (generated manually by a group of experts) showed that the average Spearman 0 < rS < critical value. It means that the correlation was proven but it was not significant. Hence the proposed rank does not satisfy the standard but the performance could be improved.

Collaboration network of the authors

40 authors · 79 co-authorship links · 13 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.

  • Bandung Institute of Technology
  • Maranatha Christian University
  • Indonesia University of Education
  • HAN University of Applied Sciences
  • Parahyangan Catholic University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Masayu Leylia KhodraBandung Institute of Technology5
Armein Z. R. LangiBandung Institute of Technology3
Bambang Riyanto TrilaksonoBandung Institute of Technology3
E. Aminudin AzizIndonesia University of Education3
Bayu HendradjayaBandung Institute of Technology3
Gusti Ayu Putri SaptawatiBandung Institute of Technology2
Carmadi MachbubBandung Institute of Technology2
Ayu PurwariantiBandung Institute of Technology2
Fransiskus AdikaraBandung Institute of Technology2
Jaka Persada SembiringBandung Institute of Technology2
Yoanes BandungBandung Institute of Technology1
Herry Imanta SitepuBandung Institute of Technology1
Ismail IsmailBandung Institute of Technology1
Hendrawan HendrawanBandung Institute of Technology1
Basuki Y. IskandarAffiliation unknown1
Fazat Nur AzizahBandung Institute of Technology1
Guido P. BakemaHAN University of Applied Sciences1
Oerip S. SantosoBandung Institute of Technology1
Sinung SuakantoBandung Institute of Technology1
Suhardi SuhardiBandung Institute of Technology1
Roberd SaragihBandung Institute of Technology1
Afrida HelenBandung Institute of Technology1
Ghoziyah Haitan RachmanBandung Institute of Technology1
Fariska Zakhralativa RuskandaBandung Institute of Technology1
Nasy`an Taufiq Al GhifariBandung Institute of Technology1
Arry Akhmad ArmanBandung Institute of Technology1
Radiant Victor ImbarMaranatha Christian University1
Meliana Christianti JohanMaranatha Christian University1
Veronica Sri MoertiniParahyangan Catholic University1
Oerip S. SantosaAffiliation unknown1
Regina Yulia YasminBandung Institute of Technology1
Putri SaptawatiBandung Institute of Technology1
Saiful AkbarBandung Institute of Technology1
Susetyo Bagas BhaskoroBandung Institute of Technology1
Mohamad Syafri TuloliBandung Institute of Technology1
Fetty Fitriyanti LubisBandung Institute of Technology1

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://journals.itb.ac.id/index.php/jictra/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">Ranking the Online Documents Based on Relative Credibility Measures</dc:title>
	<dc:creator>Dahlan, Ahmad</dc:creator>
	<dc:creator>Widyantoro, Dwi H.</dc:creator>
	<dc:creator>Supangkat, Suhono H.</dc:creator>
	<dc:creator>Sitohang, Benhard</dc:creator>
	<dc:description xml:lang="en-US">Information searching is the most popular activity in Internet. Usually the search engine provides the search results ranked by the relevance. However, for a certain purpose that concerns with information credibility, particularly citing information for scientific works, another approach of ranking the search engine results is required. This paper presents a study on developing a new ranking method based on the credibility of information. The method is built up upon two well-known algorithms, PageRank and Citation Analysis. The result of the experiment that used Spearman Rank Correlation Coefficient to compare the proposed rank (generated by the method) with the standard rank (generated manually by a group of experts) showed that the average Spearman 0 &amp;lt; rS &amp;lt; critical value. It means that the correlation was proven but it was not significant. Hence the proposed rank does not satisfy the standard but the performance could be improved.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2013-09-13</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://journals.itb.ac.id/index.php/jictra/article/view/181</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.2009.3.1.2</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 3 No. 1 (2009); 19-33</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/181/175</dc:relation>
</oai_dc:dc>