Responsibility For the Crime of Motor Vehicle Theft with Aggravation
Abstract
In the Criminal Code, thefts of property with sufficient value or significance are governed by Article 363. A strong proof of the elements constituting the crime of theft must begin with proving the primary form of the crime, as the stipulation of the crime of theft is the crime of theft committed in a certain way and under certain circumstances and severe circumstances. committing a theft is a crime. The aim of this research is to understand and analyze the characteristics of aggravated theft and motor vehicle theft as well as understand and analyze the accountability and law enforcement of perpetrators of the crime of aggravated motor vehicle theft. Normative legal research, which is a process of scientific research to seek truth from a normative perspective and based on scientific logic, was employed in this investigation. analytical procedures based on inductive reasoning, moving from a particular instance of a problem to its broader category. Based on the research results, the characteristics of the crime of theft at the Foresthreecoffee Cafe on Tuesday 11 May 2021 at around 15.15 WIB were the crime of theft with aggravation. The crime of theft with aggravation was committed by AR. The object of the theft carried out by suspect AR was a 2016 white Honda Beat motorbike in the name of LFL. That because all the elements of Article 363 paragraph (1) 5 of the Criminal Code have been fulfilled, AR is declared to have been legally and convincingly proven to have committed a criminal act as charged in the single indictment of the Public Prosecutor. The court decided to sentence AR to prison for 1 year and 6 months.
References
Books
Amrani, H., & Ali, M. (2015). Sistem Pertanggungjawaban Pidana Perkembangan dan Penerapan. Jakarta: Rajawali Pers.
Hasibuan, R. (1994). Kriminologi dalam Arti Sempit dan Ilmu-ilmu Forensik. Medan: USU Press.
Huda, C. (2006). Dari Tindak Pidana Tanpa Kesalahan Menuju Kepada Tiada Pertanggunjawab Pidana Tanpa Kesalahan. Jakarta: Kencana.
Kanter, E. Y. & Sianturi, S. R. (2002). Asas-asas Hukum Pidana di Indonesia dan Penerapannya. Jakarta: Storia Grafika.
Lamintang, P. A. F. (1989). Delik-delik Khusus Kejahatan-kejahatan terhadap Harta Kekayaan. Bandung: Sinar Baru.
Saleh, R. (1983). Perbuatan Pidana dan Pertanggungjawaban Pidana; Dua Pengertian Dasar dalam Hukum Pidana. Jakarta: Aksara Baru.
Syani, A. (2009). Sosiologi Kriminalitas. Bandung: Remadja Karya.
Journals
Agashe, N. M., & Nimbhorkar, S. (2015). A Survey Paper on Continuous Authentication by Multimodal Biometric. Int. J. Adv. Res. Comput. Eng. Technol., 4247-4253.
Amrullah. (2014). Urgensi Saksi Mahkota dalam Persidangan Pidana di Indonesia. Jurnal Ilmiah Peuradeun, 89.
Andresen, M. A., Frank, R., & Felson, M. (2013). Age and the Distance to Crime. Criminology & Criminal Justice, 1-20.
Bernasco, W. (2009). A Sentimental Journey to Crime: Effects of Residential History on Crime Location Choice. Criminology, 389-416.
Bernasco, W., & Block, R. (2009). Where Offenders Choose to Attack: A Discrete Choice Model of Robberies in Chicago. Criminology, 93-130.
Brantingham, P. L., & Brantingham, P. J. (1981). Notes on the Geometry of Crime. Environmental Criminology, 27-54.
Daele, S. V., & Beken, T. V. (2011). Outbound Offending: The Journey to Crime and Crime Sprees. Journal of Environmental Psychology, 70-78.
Hirschi, T., & Gottfredson, M. (1983). Age and the Explanation of Crime. American Journal of Sociology, 552-584.
Jain, A. K., Ross, A., & Pankanti, S. (2004). An Introduction to Biometric Recognition. IEEE Trans. Circuits Syst. Video Technol., 4-20.
Jain, A. L., Ross, A., & Pankanti, S. (2006). Biometrics: A Tool for Information Security. IEEE Trans Inf. Forensics Secur., 125-143.
Knapik, P., Schoch, E., & Kargl, F. (2013). Electronic Decal: A Security Function Based on V2X Communication. 2013 IEEE 77th Vehicular Technology Conference (VTC Spring) (pp. 1-5). IEEE.
Kuralarasan, K., & Bernasco, W. (2021). Location Choice of Snatching Offenders in Chennai City. Journal of Quantitative Criminology, 673-696.
Levine, N., & Lee, P. (2013). Journey-to-crime by Gender and Age Group in Manchester, England. Geotechnologies and the Environment.
Long, D., Liu, L., Xu, M., Feng, J., Chen, J., & He, L. (2021). Ambient Population and Surveillance Cameras: The Guardianship Role in Street Robbers' Crime Location Choice. Cities.
Stucky, T. D., & Ottensmann, J. R. (2009). Land Use and Violent Crime. Criminology, 1223-1264.
Tseng, P. Y., Lin, P. C., & Kristianto, E. (2023). Vehicle Theft Detection by Generative Adversarial Networks on Driving Behavior. Engineering Applications of Artificial Intelligence, 1-13.
Wiles, P., & Costello, A. (2000). The 'Road to Nowhere': The Evidence for Traveling Criminals. Home Office Research Study.
Yue, H., Liu, L., & Xiao, L. (2023). Investigating the Effect of People on the Street and Streetscape Physical Environment on the Location Choice of Street Theft Crime Offenders Using Street View Images and a Discrete Spatial Choice Model. Applied Geography, 1-12.
Zhou, B., Chen, L., Zhao, S., Zhou, F., & Pan, G. (2021). Spatio-temporal Analysis of Urban Crime Leveraging Multisource Crowdsensed Data. Personal and Ubiquitous Computing, 1-14.
Zhou, S., Deng, L., Kwan, M. P., & Yan, R. (2015). Social and Spatial Differentiation of High and Low Income Groups' Out-of-Home Activities in Guangzhou, China. Cities, 81-90.
Zhou, Z., Du, E. Y., Thomas, N. L., & Delp, E. J. (2011). A New Human Identification Method: Sclera Recognition. IEEE Trans. Syst. Man Cybern.-A: Syst. Hum., 571-583
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