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Family relation and STR-DNA matching using fuzzy inference

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 2 (2019)

DOI
10.11591/ijece.v9i2.pp1335-1345
ISSN
2088-8708, 2088-8708
Published
2019-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Deoxyribose Nucleic Acid (DNA) are the basic elements that make up a whole section of an individual. The basic elements store information that is unique to each individual and will be passed down the generations. DNA also helps in identifying the father in paternity testing, locating missing person investigations, identifying victims in mass disasters. Identification of the victims has a problem if the comparison the father and mother no instance the victim’s parents have died or are very far away from where the victim. Therefore, it is necessary to try to identify Short Tandem Repeat (STR) Inference of live family such as sibling, grandfather/grandmother, uncle/aunt, cousin and nephew. In this paper, we performed a method to measure the similarity of human DNA profiles using fuzzy similarity. In this fuzzy system, DNA profile data is used as an input that stores human identity along with its DNA profile. The data entered is the result of polymerase chain reaction (PCR) identification which is an electropherogram consisting of 16 loci with two alleles for each locus. Output in this fuzzy system is the value of individual similarity with reference and with similarity levels, namely small, medium and high.

Collaboration network of the authors

9 authors · 16 co-authorship links · 2 across different organisations

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  • University of Indonesia
  • 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
Reggio N. HartonoUniversity of Indonesia4
Bilqis AmaliahInstitut Teknologi Sepuluh Nopember1
Chastine FatichahInstitut Teknologi Sepuluh Nopember1
Shinta PuspasariAffiliation 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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Family relation and STR-DNA matching using fuzzy inference</dc:title><dc:creator>Anggreainy, Maria Susan</dc:creator><dc:creator>Widyanto, M. Rahmat</dc:creator><dc:creator>Widjaja, Belawati</dc:creator><dc:creator>Soedarsono, Nurtami</dc:creator><dc:creator>Widodo, Putut Tjahjo</dc:creator><dc:description>&lt;jats:p&gt;Deoxyribose Nucleic Acid (DNA) are the basic elements that make up a whole section of an individual. The basic elements store information that is unique to each individual and will be passed down the generations. DNA also helps in identifying the father in paternity testing, locating missing person investigations, identifying victims in mass disasters. Identification of the victims has a problem if the comparison the father and mother no instance the victim’s parents have died or are very far away from where the victim. Therefore, it is necessary to try to identify Short Tandem Repeat (STR) Inference of live family such as sibling, grandfather/grandmother, uncle/aunt, cousin and nephew. In this paper, we performed a method to measure the similarity of human DNA profiles using fuzzy similarity. In this fuzzy system,  DNA profile data is used as an input that stores human identity along with its DNA profile. The data entered is the result of polymerase chain reaction (PCR) identification which is an electropherogram consisting of 16 loci with two alleles for each locus.  Output in this fuzzy system is the value of individual similarity with reference and with similarity levels, namely small, medium and high.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-04-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v9i2.pp1335-1345</dc:identifier><dc:identifier>10.11591/ijece.v9i2.pp1335-1345</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 2 (2019); 1335</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/10628/11766</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>