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Design and Implementation of Multi Agentbased Information Fusion System for Decision Making Support (A Case Study on Military Operation)

Journal of ICT Research and Applications (JICTRA) · Vol. 2 No. 1 (2013) · pp. 42–63

DOI
10.5614/itbj.ict.2008.2.1.3
ISSN
2338-5499, 2337-5787
Published
2013-09-13
Publisher
DRI - ITB
Language
eng

Abstract

Quick, accurate, and complete information is highly required for supporting strategically impact decision making in a Military Operation (MO) in order to reduce the decision cycle and to minimize the loss. For that purpose, we propose, design and implement a hierarchical Multi Agentbased Information Fusion System for Decision Making Support (MAIFSDMS). The information fusion is implemented by applying Maximum Score of the Total Sum of Joint Probabilities (MSJP) fusion method and is done by a collection of Information Fusion Agents (IFA) that forms a multiagent system. MAIFS uses a combination of generalization of Dasarathy and Joint Director's Laboratory (JDL) process models for information fusion mechanism. Information fusion products that are displayed in graphical forms provide comprehensive information regarding the MO's area dynamics. By observing the graphics resulted from the information fusion, the commandant will have situational awareness and knowledge in order to make the most accurate strategic de cision as fast as possible.

Collaboration network of the authors

18 authors · 38 co-authorship links · 10 across different organisations

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

  • Politeknik Negeri Malang
  • Bandung Institute of Technology
  • Akademi Angkatan Udara
  • Institut Teknologi Sepuluh Nopember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sarwono SutiknoBandung Institute of Technology3
Yusuf KurniawanBandung Institute of Technology3
Jaka Persada SembiringBandung Institute of Technology2
Aciek Ida WuryandariAffiliation unknown2
Farida Agustini WidjajatiAffiliation unknown2
Septafiansyah Dwi PutraAffiliation unknown2
Cahya RahmadPoliteknik Negeri Malang1
Ahmad Alfian AlfianPoliteknik Negeri Malang1
Mustika MentariInstitut Teknologi Sepuluh Nopember1
Muhammad Rifky SyahbanaPoliteknik Negeri Malang1
Arie Rachmad SyulistyoPoliteknik Negeri Malang1
Putri Indah MawarniPoliteknik Negeri Malang1
Ayub SubandiAffiliation unknown1
Irman IdrisAffiliation unknown1
Iping SuprianaBandung Institute of Technology1
M. Sukrisno MardiyantoAffiliation 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://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Oct 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Design and Implementation of Multi Agentbased Information Fusion System for Decision Making Support (A Case Study on Military Operation)</dc:title>
	<dc:creator>Wahyudi Sumari, Arwin Datunaya</dc:creator>
	<dc:creator>Ahmad, Adang Suwandi</dc:creator>
	<dc:description xml:lang="en-US">Quick, accurate, and complete information is highly required for supporting strategically impact decision making in a Military Operation (MO) in order to reduce the decision cycle and to minimize the loss. For that purpose, we propose, design and implement a hierarchical Multi Agentbased Information Fusion System for Decision Making Support (MAIFSDMS). The information fusion is implemented by applying Maximum Score of the Total Sum of Joint Probabilities (MSJP) fusion method and is done by a collection of Information Fusion Agents (IFA) that forms a multiagent system. MAIFS uses a combination of generalization of Dasarathy and Joint Director's Laboratory (JDL) process models for information fusion mechanism. Information fusion products that are displayed in graphical forms provide comprehensive information regarding the MO's area dynamics. By observing the graphics resulted from the information fusion, the commandant will have situational awareness and knowledge in order to make the most accurate strategic de cision as fast as possible.</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/174</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.2008.2.1.3</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 2 No. 1 (2008); 42-63</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/174/168</dc:relation>
</oai_dc:dc>