Telaah Metode-metode Pendeteksi Kebohongan

https://doi.org/10.22146/ijccs.2150

I Gede Aris Gunadi(1*), Agus Harjoko(2)

(1) Jurusan Pendidikan Fisika, FMIPA, Undiksha Singaraja
(2) Department of Computer Science and Electronics Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Abstrak

Pendeteksi 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.


Abstract

Lie 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


Lie detecotor; Detection Deception; Polygraph; PDD( polygraph Detection deception) Test

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References

[1] Martin S, 2009,  The Black Book of Lie Detection : Effective Technique from Profesional LieDetector, http://i-sight.com/lie-detection/establishing-rappor., diakses tanggal 24 november 2011.

 

[2] Berntson, G. G., Cacioppo, J. T. and Sarter, M. ,2003, Psychophysiology in Biological Psychiatry,John Wiley & Sons, Ltd, Chichester.

 

[3] Harahap A.P, 2011, Penggunaan Alat pendeteksi Kebohongan pada Proses Peradilan Pidana Dikaitkan dengan UU No 8 Tahun 1981 Tentang Hukum Acara Junto UU No 11 Tahun 2008 Tentang Informasi dan Transaksi Elektronik, Skripsi,Fakultas Hukum Universitas Sumatera Utara, Medan.

 

[4] Cacciopo J T,  Berntson G G, Louis G, Tassinary L G, 200, Handbook of  Psychophysiology ,Ed 2 , Cambiage University Press , New York.

 

[5]  Boucsein W , 1992, Electroderma Activity “, New York ,   Plenum Press , New York.

 

[6]  Edelberg R , 1972, Electrical properties of Skin , in C.C Brown (Ed) Methods in Psychophysiology , Hal 1-53.

 

[7] Venables P.H , Christine M.J , “ Electroderma Activity” , in Martin and Venebles P.H ( Eds)  Tehniques in Psychophysiology ,   New York, NY Welly , (1980)

 

[8] Mark H , Raymond N, Donal K, Charles H R, 2010 ,An EDA Primer Polygraph Examiner  , http://www.limef.com/downloads/handler-eda.pdf, Diakses tanggal 26 November 2011

 

[9] Westeyn T, Presti P, Starner T, 2005, Action GSR : A Combination Galvani Skin Response – Accelerometer for Physiological Measurement in Active Environment, http://www. citeseerx.ist.psu.edu/.../download?...pdf,  diakses  24 november 2011.

 

[10] Slavkovic A. , 2002 , Evaluating Polygraph Data ,  Technical Report 766, Departement of Statistics, Carnegie Mellon University.

 

[11] Gordon N.J,  1999, The Academy for Scientific Investigate Training’s Horisontal Scoring System and Examiner’s Algorithm System for Chart Interpretation, Polygraph , No.1, Vol. 28,  Hal 56-64.

 

[12] Chung C,  Pennebeker J, 2007, The Psychological Function of Function Words,  K. Fiender , Social Communication ( pp.343-359) ,  Psychology Press,  New York.

 

[13] Newman, M,L., Pennebaker, J.W., Berry, D.S, Richards, J.M, 2003, Lying words: Predicting deception from linguistic styles. Personality and Social Psychology ,  No 5 , vol 29, Hal 665-675.

 

[14] Pennebaker, J. W., & King, L. A,1999, Linguistic styles: Language use as an individual difference, Journal of Personality and Social Psychology, Vol 6,Hal  1296-1312.

[15] Buller, D. B., Burgoon, J. K., Buslig, A., & Roiger, J, 1996, Testing Interpersonal Deception Theory: The language of interpersonal deception. Communication Theory,  vol 6,  Hal268-289.

 

[16] Dulaney, E. F,1982, Changes in language behavior as a function of veracity. Human Communication Research,  Vol 9,  Hal 75-82.

 

[17] Knapp, M. L., Hart, R. P., & Dennis, H. S, 1974,  An exploration of deception as a communicationconstruct, Human Communication Research, Vol 1, Hal 15-29.

 

[18] Ekman, P. (1985/1992). Telling lies: Clues to deceit in the marketplace, politics,and marriage (2nd ed.). New York: Norton.

 

[19]  Prasad S, Singh V.K, Sapre A., 2010,  Handwriting Analysis Based on Segmentation Method for Prediction of Human Personality Using Support Vector Machine , International Journal of Computer Application (0975-8887) , No. 12Volume 8 , Hal 25-29.

 

[20]  Luria G ,  Rosenblum S ,2009,  Comparing The Hand Writing Behaviours of True and False Writing With Computerized Handwriting Measures , http://www.interscience.wiley, diakses tanggal 7 desember 2011.

 

[21] Miller G,  Stiff J, 1993, Deceptive communication, Vol 14, Sage Publications. Inc, Michigan.

 

[22]   Sporer, S. L., & Schwandt, B. ,2006, Paraverbal indicators of deception: A metaanalytic synthesis,  Applied Cognitive Psychology,  Vol 20,  Hal 421–446.

 

[23] Kamath V, Ramanswary N, Karanth P.N, Desai V, kulkarni S.M . , 2011, Development of an Automated Handwriting Analysis System”, ARPN Journal Engineering of Applied Sciences,  No. 9,Volum . 6 , Hal 135-140.

 

[24] Clifford S Hofkin, Daniel S Benincasa . ,  “ Evaluation of Voice Stress Analisis Technology “, Law Enforcement Analysis Facility  Lockheed Martin IT.

 

[25] Damphouse K R, Pointon L, Upchurch D, Moore R K, 2007 , Assessing The Validity of Voice Stress Analysis Tool in a Jail Setting , This research project was a grant from the National Institute of Justice (2005-IJ-CX-0047)., U.S Departement of Justice,  Washington  DC

 

[26]  Brent Griffith B, Daniel Türle Dr,  Howdy Goudey  H, 2001, Infrared Thermografic System, http://www.btech.lbl.gov/papers/46590.pdf ,diakses tanggal  18 desember 2011.

 

[27]Pavlidis I , Levine J ,2002,  Thermal Image Analysis for Polygraph Test, IEEE Engineering in Medecine and Biologi , Vol 21, Hal 56-64.

 

[28]  Matsumoto D,  Hwang H S, Skinner L,  Frangk M G , 2011 ,  Evaluating Truthfulness and Detecting Deception  ,  FBI Law Enforcement Bulletin ,  Volume 80, Halaman 1-25.

 

[29] Polikovsky S,  Kameda Y ,Otha Y , 2009, Detection and Measurement of Facial  Micro Expresion  Characteristics for Psychological Analysis,  3rd International Conference on Imaging for Crime Detection and Prevention(ICDP-09),  London, march 12.

 

[30] Matthew Shreve, Sridhar Godavarthy, Vasant Manohar, Dmitry Goldgof, Sudeep Sarkar. “  Toward  Macro and Micro Expresion Spotting in Video using Strains Pattern “. http://www.cse.usf.edu ,diakses tanggal 22 Desember 2011.



DOI: https://doi.org/10.22146/ijccs.2150

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