The Position of the Tax Court in the Indonesian Judicial System After the Decision of the Constitutional Court Number 26/PUU-XXI/2023
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Tax Court, Judicial Power, Constitutional Court Decision
Abstract
Background. The Tax Court, basically, has been regulated in Law Number 14 Year 2002 on Tax Court. However, there is an issue relating to the ambiguous position of the Tax Court.
Purpose. The purpose of this is to show that the position of the court is not independent, as it plays a role in both judicial and executive functions, which may result in a lack of independence in case decision making. Therefore, this study aims to determine the position of the tax court in the current judicial system in Indonesia.
Method. This research uses normative juridical research method by reviewing secondary data obtained. Based on the results of the research, it was found that the latest Constitutional Court Decision Number 26/PUU-XXI/2023 has determined that the Tax Courts must transfer their organizational, administrative, and financial development responsibilities to the Supreme Court before 31 December 2026.
Results. The consequence of this decision is that the organizational structure of the Tax Court will be directly under the supervision of the Supreme Court and no longer under the Ministry of Finance. Although the Tax Court will be transferred to the Supreme Court, it is important to maintain this situation as the transition requires adjustments in terms of organizational structure, employee status, and career opportunities for tax judges. All of these matters must be studied and solutions found by the Tax Court as the independence of tax judges means a lot to taxpayers seeking justice in their tax disputes.
Conclusion. In addition to independence, the public also expects competent expertise and knowledge from tax judges as enforcers of justice in tax disputes.
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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
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
Lurie, N., Saville, M., Hatchett, R., & Halton, J. (2020). Developing Covid-19 Vaccines at Pandemic Speed. New England Journal of Medicine, 382(21), 1969–1973. https://doi.org/10.1056/NEJMp2005630
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
Roy, Y., Banville, H., Albuquerque, I., Gramfort, A., Falk, T. H., & Faubert, J. (2019). Deep learning-based electroencephalography analysis: A systematic review. Journal of Neural Engineering, 16(5), 051001. https://doi.org/10.1088/1741-2552/ab260c
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
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 Yosia Clementino Moningka, Rasji Rasji
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