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Open access Jurnal SINTA 2

Telaah Metode-metode Pendeteksi Kebohongan

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 6 No. 2 (2013)

DOI
10.22146/ijccs.2150
ISSN
2460-7258, 1978-1520
Published
2013-07-31
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

AbstrakPendeteksi kebohongan adalah aplikasi yang menerapkan berbagai cabang ilmu pengetahuan(psikologi,kedokteran,biologi,fisika,komputer,dan lain lain). Aplikasi pendeteksi kebohongan sangatlah berguna terutama dikalangan penegak hukum, untuk mengungkap fakta fakta. Pada prinsipnya metode pendekteksi kebohongan bekerja berdasarkan perubahan respon fisiologis tubuh manusia, yang diakibatkan oleh usahanya untuk menutupi kebohongannya.Dalam paper ini akan dibahas berbagai pendekatan metode yang telah dikembangkan untuk mendeteksi kebohongan,diantaranya deteksi kebohongan berdasarkan konduktivitas kulit, bentuk tulisan tangan, isi ( content tulisan), analisis suara, termograpy, dan gesture.Kata kunci— Lie detector, Detection Deception, Polygraph, PDD Test.AbstractLie detector is an application that applying various of knowledge such as psychology,medicine,biology,physics, computer, and etc. This application is very useful especially among law officer to detect deception. In principle, the lie detector’s methods work based on change of fisilogy respon at human being body. The change of psiology respon is caused by effort to keep their deception. In this papers, we present an approach various methods of lie detection which have been developed. we will present lie detection based on skin conductivity respon, handwriting form, article content, voice analysis, image infrared, and gesture. Keywords— Lie detecotor, Detection Deception, Polygraph, PDD( polygraph Detection deception) Test.

Keywords

Collaboration network of the authors

40 authors · 50 co-authorship links · 15 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 Gadjah Mada
  • Universitas Pendidikan Ganesha
  • Universitas Stikubank
  • University of Indonesia
  • State University of Semarang
  • State University of Medan
  • Duta Wacana Christian 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
Edi WinarkoUniversitas Gadjah Mada3
Retantyo WardoyoUniversitas Gadjah Mada2
Sri T. HartatiUniversitas Gadjah Mada2
Edy WinarnoUniversitas Stikubank2
Aniati Murni ArymurthyUniversity of Indonesia2
Kridalaksana Harsa AwangAffiliation unknown1
Zaenal AbidinState University of Semarang1
Yustina RetnoAffiliation unknown1
Abriyono AbriyonoAffiliation unknown1
Rocky Yefrenes DillakUniversitas Gadjah Mada1
Ikhwan RusliantoUniversitas Gadjah Mada1
Rahmi HidayatiUniversitas Gadjah Mada1
Salman AliajiUniversitas Gadjah Mada1
Refta ListiaUniversitas Gadjah Mada1
Mahmuddin YunusAffiliation unknown1
Hermawan SyahputraState University of Medan1
Sri SuwarnoDuta Wacana Christian University1
Rajif Agung YunmarSumatera Institute of Technology1
Nurmiyati TamatjitaUniversitas Gadjah Mada1
La Ode Hasnuddin S. SagalaUniversitas Gadjah Mada1
Nicodemus Mardanus SetiohardjoPoliteknik Negeri Kupang1
I Putu Adi PratamaUniversitas Gadjah Mada1
Herman HermanUniversitas Gadjah Mada1
Dian Hafidh ZulfikarUniversitas Gadjah Mada1
Made Leo RadhityaInstitut Bisnis dan Teknologi Indonesia1
Kharis SyabanUniversitas Gadjah Mada1
Pawit RiantoAffiliation unknown1
Adri PriadanaUniversitas Gadjah Mada1
Ade NurhopipahUniversitas Amikom Purwokerto1
Aina MusdholifahUniversitas Gadjah Mada1
Nelson RumuiPoliteknik Negeri Ketapang1
Angga Maulana PurbaUniversitas Gadjah Mada1
Mohammad Edi WibowoAffiliation unknown1
Wahyono WahyonoUniversitas Gadjah Mada1
Abdul KholikUniversitas Gadjah Mada1
Alfian Abdul JalidUniversitas Gadjah Mada1
⁠I Made CandiasaUniversitas Pendidikan Ganesha1
Agung Ukki Galih CahyaningsihAffiliation 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://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">Telaah Metode-metode Pendeteksi Kebohongan</dc:title>
	<dc:creator>Gunadi, I Gede Aris</dc:creator>
	<dc:creator>Harjoko, Agus</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Lie detecotor; Detection Deception; Polygraph; PDD( polygraph Detection deception) Test</dc:subject>
	<dc:description xml:lang="en-US">AbstrakPendeteksi kebohongan adalah aplikasi yang menerapkan berbagai cabang ilmu pengetahuan(psikologi,kedokteran,biologi,fisika,komputer,dan lain lain). Aplikasi pendeteksi kebohongan sangatlah berguna terutama dikalangan penegak hukum, untuk mengungkap fakta fakta. Pada prinsipnya metode pendekteksi kebohongan bekerja berdasarkan perubahan respon fisiologis tubuh manusia, yang diakibatkan oleh usahanya untuk menutupi kebohongannya.Dalam paper ini akan dibahas berbagai pendekatan  metode yang telah dikembangkan untuk mendeteksi kebohongan,diantaranya deteksi kebohongan berdasarkan konduktivitas kulit, bentuk tulisan tangan , isi ( content tulisan), analisis suara, termograpy, dan gesture.Kata kunci— Lie detector, Detection Deception, Polygraph,  PDD Test.AbstractLie detector is an application that applying various of knowledge  such as psychology,medicine,biology,physics, computer , and etc. This application is very  useful especially  among law officer  to detect deception. In principle , the lie detector’s methods work based on change of fisilogy respon at human being body. The change of psiology respon is caused by effort to keep their deception. In this papers, we present an approach  various methods of lie detection  which have been developed . we will present lie detection based on skin conductivity respon, handwriting form, article content, voice analysis, image infrared, and gesture.  Keywords—  Lie detecotor, Detection Deception, Polygraph, PDD( polygraph Detection deception) Test.</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>2013-07-31</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"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/2150</dc:identifier>
	<dc:identifier>10.22146/ijccs.2150</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 6, No 2 (2012): 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/2150/1931</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2013 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>
</oai_dc:dc>