Analysis of Judgment Conditions in Making a Decision for Rehabilitation of Persons of Criminal Actions Based on Narcotics ABUSE Decision Number: 302/PID.SUS/2022/PN. TJK and Decision Number 217/PID.SUS/2022/PN.KLA
Abstract
Background. Problems in handling cases of criminal acts of narcotics abuse, namely the emergence of criminal disparities in terms of sentencing, such as in cases of criminal acts of narcotics abuse in Decision Number: 302/Pid.Sus/2022/PN. Tjk and Decision Number 217/Pid.Sus/2022/PN.Kla.
Purpose. What are the factors that cause differences in judges' legal considerations in imposing decisions on rehabilitation of perpetrators of narcotics abuse based on Decision Number: 302/Pid.Sus/2022/PN. Tjk and Decision Number 217/Pid.Sus/2022/PN.Kla. What are the legal considerations of judges in making decisions on rehabilitation of perpetrators of narcotics abuse based on Decision Number: 302/Pid.Sus/2022/PN. Tjk and Decision Number 217/Pid.Sus/2022/PN.Kla.
Method. The research was carried out using a normative juridical approach and an empirical approach. The data used in this study were secondary data obtained from library materials, and field research was carried out by observation and interviews (interviews). The data obtained were analyzed qualitatively and juridically and deductively concluded.
Results. the factors that cause differences in judges' considerations in imposing decisions are sourced from the legal system and sentencing philosophy, sourced from judges, and sourced from defendants. The occurrence of disparity is also due to the factor that the Panel of Supreme Court Justices has different legal considerations and the principle of judging themselves so that there is a different application of Articles from Court Decisions of first level and appellate level.: 302/Pid.Sus/2022/PN. Tjk and Decision Number 217/Pid.Sus/2022/PN.Kla.
Conclusion. Suggestions in this study are that the Panel of Judges in cases of criminal acts of narcotics abuse should minimize criminal disparities to prevent the development of a negative perspective of society towards the criminal system in judicial institutions.
Full text article
References
Abuhassna, H., Al-Rahmi, W. M., Yahya, N., Zakaria, M. A. Z. M., Kosnin, A. Bt. M., & Darwish, M. (2020). Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction. International Journal of Educational Technology in Higher Education, 17(1), 38. https://doi.org/10.1186/s41239-020-00216-z
Adegbeye, M. J., Ravi Kanth Reddy, P., Obaisi, A. I., Elghandour, M. M. M. Y., Oyebamiji, K. J., Salem, A. Z. M., Morakinyo-Fasipe, O. T., Cipriano-Salazar, M., & Camacho-Díaz, L. M. (2020). Sustainable agriculture options for production, greenhouse gasses and pollution alleviation, and nutrient recycling in emerging and transitional nations—An overview. Journal of Cleaner Production, 242, 118319. https://doi.org/10.1016/j.jclepro.2019.118319
Ali, H., Khan, E., & Ilahi, I. (2019). Environmental Chemistry and Ecotoxicology of Hazardous Heavy Metals: Environmental Persistence, Toxicity, and Bioaccumulation. Journal of Chemistry, 2019, 1–14. https://doi.org/10.1155/2019/6730305
Cai, Z., & Vasconcelos, N. (2021). Cascade R-CNN: High Quality Object Detection and Instance Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(5), 1483–1498. https://doi.org/10.1109/TPAMI.2019.2956516
Carleo, G., Cirac, I., Cranmer, K., Daudet, L., Schuld, M., Tishby, N., Vogt-Maranto, L., & Zdeborová, L. (2019). Machine learning and the physical sciences. Reviews of Modern Physics, 91(4), 045002. https://doi.org/10.1103/RevModPhys.91.045002
Cheng, Y., Luo, R., Wang, K., Zhang, M., Wang, Z., Dong, L., Li, J., Yao, Y., Ge, S., & Xu, G. (2020). Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney International, 97(5), 829–838. https://doi.org/10.1016/j.kint.2020.03.005
Glare, P., Aubrey, K. R., & Myles, P. S. (2019). Transition from acute to chronic pain after surgery. The Lancet, 393(10180), 1537–1546. https://doi.org/10.1016/S0140-6736(19)30352-6
Johdi, N. A., & Sukor, N. F. (2020). Colorectal Cancer Immunotherapy: Options and Strategies. Frontiers in Immunology, 11, 1624. https://doi.org/10.3389/fimmu.2020.01624
Kampf, G., Todt, D., Pfaender, S., & Steinmann, E. (2020). Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents. Journal of Hospital Infection, 104(3), 246–251. https://doi.org/10.1016/j.jhin.2020.01.022
Lisio, M.-A., Fu, L., Goyeneche, A., Gao, Z., & Telleria, C. (2019). High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints. International Journal of Molecular Sciences, 20(4), 952. https://doi.org/10.3390/ijms20040952
Norris, P., & Inglehart, R. (2019). Cultural Backlash: Trump, Brexit, and Authoritarian Populism (1 ed.). Cambridge University Press. https://doi.org/10.1017/9781108595841
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., & Wermter, S. (2019). Continual lifelong learning with neural networks: A review. Neural Networks, 113, 54–71. https://doi.org/10.1016/j.neunet.2019.01.012
Phillips, J. C., Hardy, D. J., Maia, J. D. C., Stone, J. E., Ribeiro, J. V., Bernardi, R. C., Buch, R., Fiorin, G., Hénin, J., Jiang, W., McGreevy, R., Melo, M. C. R., Radak, B. K., Skeel, R. D., Singharoy, A., Wang, Y., Roux, B., Aksimentiev, A., Luthey-Schulten, Z., … Tajkhorshid, E. (2020). Scalable molecular dynamics on CPU and GPU architectures with NAMD. The Journal of Chemical Physics, 153(4), 044130. https://doi.org/10.1063/5.0014475
Van Trotsenburg, P., Stoupa, A., Léger, J., Rohrer, T., Peters, C., Fugazzola, L., Cassio, A., Heinrichs, C., Beauloye, V., Pohlenz, J., Rodien, P., Coutant, R., Szinnai, G., Murray, P., Bartés, B., Luton, D., Salerno, M., De Sanctis, L., Vigone, M., … Polak, M. (2021). Congenital Hypothyroidism: A 2020–2021 Consensus Guidelines Update—An ENDO-European Reference Network Initiative Endorsed by the European Society for Pediatric Endocrinology and the European Society for Endocrinology. Thyroid, 31(3), 387–419. https://doi.org/10.1089/thy.2020.0333
Walsh, E. E., Frenck, R. W., Falsey, A. R., Kitchin, N., Absalon, J., Gurtman, A., Lockhart, S., Neuzil, K., Mulligan, M. J., Bailey, R., Swanson, K. A., Li, P., Koury, K., Kalina, W., Cooper, D., Fontes-Garfias, C., Shi, P.-Y., Türeci, Ö., Tompkins, K. R., … Gruber, W. C. (2020). Safety and Immunogenicity of Two RNA-Based Covid-19 Vaccine Candidates. New England Journal of Medicine, 383(25), 2439–2450. https://doi.org/10.1056/NEJMoa2027906
Wang, Y., Xu, Y., Tabari, H., Wang, J., Wang, Q., Song, S., & Hu, Z. (2020). Innovative trend analysis of annual and seasonal rainfall in the Yangtze River Delta, eastern China. Atmospheric Research, 231, 104673. https://doi.org/10.1016/j.atmosres.2019.104673
Wang, Z., Li, C., & Domen, K. (2019). Recent developments in heterogeneous photocatalysts for solar-driven overall water splitting. Chemical Society Reviews, 48(7), 2109–2125. https://doi.org/10.1039/C8CS00542G
Yatabe, Y., Dacic, S., Borczuk, A. C., Warth, A., Russell, P. A., Lantuejoul, S., Beasley, M. B., Thunnissen, E., Pelosi, G., Rekhtman, N., Bubendorf, L., Mino-Kenudson, M., Yoshida, A., Geisinger, K. R., Noguchi, M., Chirieac, L. R., Bolting, J., Chung, J.-H., Chou, T.-Y., … Moreira, A. L. (2019). Best Practices Recommendations for Diagnostic Immunohistochemistry in Lung Cancer. Journal of Thoracic Oncology, 14(3), 377–407. https://doi.org/10.1016/j.jtho.2018.12.005
Zemek, R. M., De Jong, E., Chin, W. L., Schuster, I. S., Fear, V. S., Casey, T. H., Forbes, C., Dart, S. J., Leslie, C., Zaitouny, A., Small, M., Boon, L., Forrest, A. R. R., Muiri, D. O., Degli-Esposti, M. A., Millward, M. J., Nowak, A. K., Lassmann, T., Bosco, A., … Lesterhuis, W. J. (2019). Sensitization to immune checkpoint blockade through activation of a STAT1/NK axis in the tumor microenvironment. Science Translational Medicine, 11(501), eaav7816. https://doi.org/10.1126/scitranslmed.aav7816
Zhang, S., Yao, L., Sun, A., & Tay, Y. (2020). Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Computing Surveys, 52(1), 1–38. https://doi.org/10.1145/3285029
Zhou, M., Wang, H., Zeng, X., Yin, P., Zhu, J., Chen, W., Li, X., Wang, L., Wang, L., Liu, Y., Liu, J., Zhang, M., Qi, J., Yu, S., Afshin, A., Gakidou, E., Glenn, S., Krish, V. S., Miller-Petrie, M. K., … Liang, X. (2019). Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 394(10204), 1145–1158. https://doi.org/10.1016/S0140-6736(19)30427-1
Zong, Q., Yang, H., Wang, Q., Zhang, Q., Zhu, Y., Wang, H., & Shen, Q. (2019). Three-dimensional coral-like NiCoP@C@Ni(OH)2 core-shell nanoarrays as battery-type electrodes to enhance cycle stability and energy density for hybrid supercapacitors. Chemical Engineering Journal, 361, 1–11. https://doi.org/10.1016/j.cej.2018.12.041
Authors
Copyright (c) 2023 Asep Hidayatulloh

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.