Analisis Yuridis Putusan Pengadilan Nomor 251/Pid.Sus/2015/PN.Sda tentang Kasus Kecelakaan yang Mengakibatkan Matinya Orang di Pengadilan Sidoarjo

Authors

  • Damar Wulayana Universitas Muhammadiyah Sidoarjo
  • Emy Rosnawati Universitas Muhammadiyah Sidoarjo

DOI:

https://doi.org/10.47134/researchjet.v3i1.15

Keywords:

traffic accident, responsibility, constitution

Abstract

This study aims to determine whether the court’s decision number 251/Pid.Sus/2015/PN.Sda is a traffic accident that occurs due to negligence of  the vehicle driver. Factors that cause traffic accidents come from drivers who are sleepy and less careful. Driver negligence which results in the death of  people in traffic accidents is regulated in article 359 of the criminal code and can also be given sanctions or fines as regulated in Article 310 of Law No 22 of 2009. Therefore, the author uses the method Normative juridical as a from of implementation. The formulation of the promblem studied is to analyze the juridical court decision Number 251/Pid.Sus/2015/PN.Sda regarding negligence which resulted in the death of a person, finally legally resulted in the defendant being sentenced to 1 year in prison.

References

Abraham, K. S. (2019). Automated vehicles and manufacturer responsibility for accidents: A new legal regime for a new era. Virginia Law Review, 105(1), 127–171. DOI: https://doi.org/10.2139/ssrn.3159525

Alada, H. (2022). Political and legal risks in public-private partnership mega transportation projects. Proceedings of the Institution of Civil Engineers: Municipal Engineer, 175(2), 95–106. doi: 10.1680/jmuen.21.00017 DOI: https://doi.org/10.1680/jmuen.21.00017

Casado-Sanz, N. (2020). Analysis of the risk factors affecting the severity of traffic accidents on Spanish crosstown roads: The driver’s perspective. Sustainability (Switzerland), 12(6). doi: 10.3390/su12062237 DOI: https://doi.org/10.3390/su12062237

Chebotareva, A. (2018). Mechanism of the administrative and legal regulation of public transportation system. International Journal of Civil Engineering and Technology, 9(13), 144–150.

Copp, C. J. (2023). Plenty of blame to go around: Attributions of responsibility in a fatal autonomous vehicle accident. Current Psychology, 42(8), 6752–6767. doi: 10.1007/s12144-021-01956-5 DOI: https://doi.org/10.1007/s12144-021-01956-5

Fritz, J. (2020). A Chronobiological Evaluation of the Acute Effects of Daylight Saving Time on Traffic Accident Risk. Current Biology, 30(4), 729–735. doi: 10.1016/j.cub.2019.12.045 DOI: https://doi.org/10.1016/j.cub.2019.12.045

Hamed, M. M. (2020). An exploratory analysis of traffic accidents and vehicle ownership decisions using a random parameters logit model with heterogeneity in means. Analytic Methods in Accident Research, 25. doi: 10.1016/j.amar.2020.100116 DOI: https://doi.org/10.1016/j.amar.2020.100116

Hammad, H. M. (2019). Environmental factors affecting the frequency of road traffic accidents: a case study of a suburban area of Pakistan. Environmental Science and Pollution Research. doi: 10.1007/s11356-019-04752-8 DOI: https://doi.org/10.1007/s11356-019-04752-8

Jabbari, M. (2021). Comprehensive analysis and investigation of accident/occupational disease responsibility rates: A case study for accidental CO poisoning. Science and Justice, 61(5), 493–504. doi: 10.1016/j.scijus.2021.05.001 DOI: https://doi.org/10.1016/j.scijus.2021.05.001

Li, L. (2020). A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction. Engineering Applications of Artificial Intelligence, 93. doi: 10.1016/j.engappai.2020.103686 DOI: https://doi.org/10.1016/j.engappai.2020.103686

Liu, Q. (2019). Using error analysis method for division of highway accident responsibility based on computer simulation technology. Advances in Transportation Studies, 2, 133–140. doi: 10.4399/978882553055114

Ma, Z. (2021). An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors. Accident Analysis and Prevention, 160. doi: 10.1016/j.aap.2021.106322 DOI: https://doi.org/10.1016/j.aap.2021.106322

Mohammed, A. A. (2019). A review of the traffic accidents and related practices worldwide. Open Transportation Journal, 13(1), 65–83. doi: 10.2174/1874447801913010065 DOI: https://doi.org/10.2174/1874447801913010065

Ren, H. (2018). A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018, 3346–3351. doi: 10.1109/ITSC.2018.8569437 DOI: https://doi.org/10.1109/ITSC.2018.8569437

Suzuki, T. (2018). Anticipating Traffic Accidents with Adaptive Loss and Large-Scale Incident DB. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3521–3529. doi: 10.1109/CVPR.2018.00371 DOI: https://doi.org/10.1109/CVPR.2018.00371

Vera, A. D. M. (2022). LEGAL ANALYSIS OF THE SPEED LIMIT OF PUBLIC TRANSPORTATION ON HIGHWAYS IN ECUADOR. Universidad y Sociedad, 14, 10–19.

Yao, Q. (2023). Accident responsibility identification model for Internet of Vehicles based on lightweight blockchain. Computational Intelligence, 39(1), 58–81. doi: 10.1111/coin.12529 DOI: https://doi.org/10.1111/coin.12529

Zhou, K. (2020). Discussion on Attribution of Accident Responsibility for Autonomous Vehicles. SAE Technical Papers, 2020. doi: 10.4271/2020-01-5207 DOI: https://doi.org/10.4271/2020-01-5207

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Published

2023-10-02

How to Cite

Wulayana, D. ., & Rosnawati, E. (2023). Analisis Yuridis Putusan Pengadilan Nomor 251/Pid.Sus/2015/PN.Sda tentang Kasus Kecelakaan yang Mengakibatkan Matinya Orang di Pengadilan Sidoarjo. ResearchJet Journal of Analysis and Inventions, 1(2). https://doi.org/10.47134/researchjet.v3i1.15

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