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Jurnal SINTA 3

IMPLEMENTASI PENGENALAN FINGER VEIN PADA SISTEM PEMBAYARAN MENGGUNAKAN METODE LLBPh

SemanTIK: Teknik Informasi · Vol. 4 No. 1 (2018) · pp. 167–172

DOI
10.55679/semantik.v4i1.4483
ISSN
2502-8928, 2460-1446
Published
2018-08-13
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng

Abstract

Payment is one of the important activities that in the transaction process. Currently, technology that supports payment system is quite a lot, however in implementation technology used still has a various of a problem such as, pin code used can be stolen, duplicated, and didn't possibility someone can forge wt the pin code of the plastic card owned. One way that can be used to resolve this is identification by taking the unique characteristics of limb.Finger vein is one of the biometric images that can be used to recognize a person. Finger vein can be used as an effective, efficient, and economical tool of payment the role of plastic cards. In this research, the method used is Local Line Binary Pattern horizontal (LLBPh). This method has a good ability to recognize of patterns, can resolve the shading irregular image and the image area that has a high saturation. Based on the experimental results that used, the LLBPh method produces an accuracy of 92.08 with the threshold value.Keywords—Finger Vein recognition, LLBPh, Payment

Collaboration network of the authors

40 authors · 127 co-authorship links · 21 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.

  • Universitas Halu Oleo
  • Institut Teknologi Sepuluh Nopember
  • Hasanuddin University
  • Universitas Sembilanbelas November Kolaka
  • Universitas Cokroaminoto Palopo
  • Universitas Gadjah Mada
  • Indonesia Open University
  • 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
Bambang PramonoUniversitas Halu Oleo9
Jumadil NangiUniversitas Halu Oleo8
Natalis RansiUniversitas Halu Oleo6
Suharsono BantunUniversitas Sembilanbelas November Kolaka4
La SurimiUniversitas Halu Oleo4
Statiswaty StatiswatyUniversitas Halu Oleo4
Rahmat RamadhanUniversitas Halu Oleo4
Sutardi SutardiUniversitas Halu Oleo4
Muh. Ihsan SaritaUniversitas Halu Oleo3
Muh YaminUniversitas Halu Oleo3
Muhammad Ihsan SaritaUniversitas Halu Oleo3
Nirsal NirsalUniversitas Cokroaminoto Palopo2
LM. Fid AksaraUniversitas Halu Oleo2
L.M. Fid AksaraUniversitas Halu Oleo2
Rabiuldien AmatUniversitas Halu Oleo2
Muh. Abdi FahmiAffiliation unknown2
Ayu Sabrina SyairUniversitas Halu Oleo2
Rizal Adi SaputraUniversitas Halu Oleo2
Nurul Hajra Hadijah HajraUniversitas Halu Oleo1
Agfianto Eko PutraUniversitas Gadjah Mada1
Dian NursantikaIndonesia Open University1
Mutmainnah MuchtarInstitut Teknologi Sepuluh Nopember1
Agus Zainal ArifinInstitut Teknologi Sepuluh Nopember1
Mohammad ZarkasiInstitut Teknologi Sepuluh Nopember1
Chastine FatichahInstitut Teknologi Sepuluh Nopember1
Nanik SuciatiInstitut Teknologi Sepuluh Nopember1
Fransisca Joanet PontohHasanuddin University1
Amil Ahmad IlhamHasanuddin University1
Ingrid NurtanioHasanuddin University1
Linda Purnama MuriUniversitas Halu Oleo1
Irmaya Citra HarwendhaniAffiliation unknown1
Azim RamadhanAffiliation unknown1
Abdul MalikUniversitas Mega Buana Palopo1
Feri FadlinAffiliation unknown1
Suparjo SuparjoAffiliation unknown1
Arman ArmanUniversitas Halu Oleo1

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">IMPLEMENTASI PENGENALAN FINGER VEIN PADA SISTEM PEMBAYARAN MENGGUNAKAN METODE LLBPh</dc:title>
	<dc:creator>Hastuti, Dewi</dc:creator>
	<dc:creator>Ningrum, Ika Purwanti</dc:creator>
	<dc:creator>Sajiah, Adha Mashur</dc:creator>
	<dc:creator>Sari, Jayanti Yusmah</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:description xml:lang="en-US">Payment is one of the important activities that in the transaction process. Currently, technology that supports payment system is quite a lot, however in implementation technology used still has a various of a problem such as, pin code used can be stolen, duplicated, and didn't possibility someone can forge wt the pin code of the plastic card owned. One way that can be used to resolve this is identification by taking the unique characteristics of limb.Finger vein is one of the biometric images that can be used to recognize a person. Finger vein can be used as an effective, efficient, and economical tool of payment the role of plastic cards. In this research, the method used is Local Line Binary Pattern horizontal (LLBPh). This method has a good ability to recognize of patterns, can resolve the shading irregular image  and the image area that has a high saturation. Based on the experimental results that used, the LLBPh method produces an accuracy of 92.08 with the threshold value.Keywords—Finger Vein recognition, LLBPh, Payment</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>2018-08-13</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>
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	<dc:identifier>https://ojs.uho.ac.id/index.php/semantik/article/view/4483</dc:identifier>
	<dc:identifier>10.55679/semantik.v4i1.4483</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 4, No 1 (2018): semanTIK; 167-172</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v4i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/4483/3451</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 semanTIK</dc:rights>
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