Criminalizing JKN Fraud as a White-Collar Crime: Regulatory Reform and Forensic Audit Framework
DOI:
https://doi.org/10.25041/corruptio.v7i1.5373Abstract
National Health Insurance (JKN) fraud causes substantial financial losses, erodes public trust, and threatens the sustainability of Indonesia's healthcare system. This study examines the legal gap between the complexity of JKN fraud and the limitations of the existing criminal law framework using doctrinal legal research with statutory, conceptual, and comparative approaches. Comparative analysis focuses on the National Health Care Anti-Fraud Association (NHCAA) in the United States and the Health Insurance Counter Fraud Group (HICFG) in the United Kingdom. The findings indicate that the current legal framework is inadequate to address the systemic and technology-enabled nature of JKN fraud. Although forensic audits supported by big data analytics enhance fraud detection and investigation, their findings rarely progress beyond administrative enforcement because sector-specific criminal provisions are lacking. This study proposes reforming the SJSN and BPJS Laws by introducing lex specialis provisions on JKN fraud, expanding corporate criminal liability, and strengthening the legal framework for forensic audits. These reforms would improve law enforcement and support the long-term sustainability of the JKN program.
Keywords:
JKN Fraud, White-Collar Crime, Forensic Audit, Reformulation of Criminal RegulationsDownloads
References
Anggi Sari Tambunan and Tuti Meutia. “Pengaruh Audit Forensik Terhadap Pencegahan Dan Pengungkapan Fraud.” Jura: Jurnal Riset Akutansi 2, no. 2 (2024). https://doi.org/https://doi.org/10.54066/jura-itb.v2i2.1783.
Arief Barda Narawi. Bunga Rampai Kebijakan Hukum Pidana (Perkembangan Penyusunan Konsep KUHP Baru). Jakarta: Kencana Prenada Media Group. Kencana, 2017.
Arip Sopian and Erlina Puspitaloka Mahadewi. “Indonesia Insurance Development with Various Aspects and Prespectives of The Regulatory Approach.” International Journal of Science, Technology, and Management 4, no. 5 (2023). https://doi.org/https://doi.org/10.46729/ijstm.v4i5.921.
Association of Certified Fraud Examiners. “Fraud 101: What Is Fraud?” Association of Certified Fraud Examiners, n.d. https://www.acfe.com/fraud-resources/fraud-101-what-is-fraud.
Benny Marciano, Ardiansyah Syam Suyanto, and Nurmala Ahmar. “Whistleblowing System Dan Pencegahan Fraud: Sebuah Tinjauan Literatur.” Jurnal Akuntansi Berkelanjutan Indonesia 4, no. 3 (2021). https://doi.org/10.32493/JABI.v4i3.y2021.p313-324.
Business Wire. “Health Insurance Counter Fraud Group Selects Shift Technology to Develop New Health Insurance Counter Fraud Database.” Business Wire, July 11, 2018. https://www.businesswire.com/news/home/20180711005033/en/.
Erlina Puspitaloka Mahadewi. “Investment Risk Management Strategies in Sukuk: A Sharia Management Perspective.” Kontigensi Jurnal Ilmiah Manajemen 12, no. 2 (2024): 598–608. https://doi.org/https://doi.org/10.56457/jimk.v12i2.
Firman Firdausi and Asih Widi Lestari. “Eksistensi White Collar Crime Di Indonesia :Kajian Kriminologi Menemukan Upaya Preventif.” Jurnal Reformasi 6, no. 1 (2016). https://doi.org/https://doi.org/10.33366/rfr.v6i1.680.
Insurance Fraud Investigators Group (IFIG). “Health Insurance Counter-Fraud Group (HICFG).” August 16, 2025. https://ifig.org/hicfg/.
International Public Sector Fraud Forum; Australian Government Attorney-General’s Department. Guide to Understanding the Total Impact of Fraud. UK Goverment, 2020. https://assets.publishing.service.gov.uk/media/5e4bedb986650c10e5a91d89/2377_The_Impact_of_Fraud_AW__4_.pdf.
Jiali (Jenna) Tang and Khondkar E. Karim. “Big Data in Business Analytics: Implications for the Audit Profession.” The CPA Journal 87, no. 6 (2017). https://www.cpajournal.com/2017/06/26/big-data-business-analytics-implications-audit-profession/.
Jiali Tang and Khondkar E Karim. “Financial Fraud Detection and Big Data Analytics – Implications on Auditors’ Use of Fraud Brainstorming Session.” Managerial Auditing Journal 34, no. 3 (2019). https://doi.org/https://doi.org/10.1108/MAJ-01-2018-1767.
Jianfei Ruan, Zheng Yan, Bo Dong, Qinghua Zheng, and Buyue Qian. “Identifying Suspicious Groups of Affiliated-Transaction-Based Tax Evasion in Big Data.” Elsevier 477 (March 2019). https://doi.org/https://doi.org/10.1016/j.ins.2018.11.008.
Kementerian Keuangan Republik Indonesia. “JKN Sebagai Pilar Perlindungan Kesehatan Nasional: Capaian, Kepesertaan, Dan Realisasi Klaim Hingga Maret 2025.” Kementerian Keuangan Republik Indonesia, May 15, 2025. https://anggaran.kemenkeu.go.id/in/post/jkn-sebagai-pilar-perlindungan-kesehatan-nasional-capaian-kepesertaan-dan-realisasi-klaim-hingga-maret-2025.
Komisi Pemberantasan Korupsi. Sinergi KPK-BPJS Kesehatan Kawal Layanan Kesehatan Anti-Fraud. Komisi Pemberantasan Korupsi, 2025. https://www.kpk.go.id/id/ruang-informasi/berita/sinergi-kpk-bpjs-kesehatan-kawal-layanan-kesehatan-anti-fraud.
Mark Conner. “Theory of Planned Behaviour.” In Handbook of Sport Psychology. John Wiley & Sons, Inc, 2020.
Matt Gutzwiller. Breaking Down the ACFE’s Latest Fraud Report. Clark Schaefer Hackett Business Advisors, 2024. https://www.cshco.com/insights/breaking-down-the-acfes-latest-fraud-report?
Miloš Savić, Jasna Atanasijević, Dušan Jakovetić, and Nataša Krejić. “Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method.” Expert Systems with Applications 193 (August 2021). https://doi.org/10.1016/j.eswa.2021.116409.
Narongchai Visitpanya and Taweesak Samanchuen. “Synthesis of Tax Return Datasets for Development of Tax Evasion Detection.” IEEE 11 (May 2023). https://doi.org/10.1109/ACCESS.2023.3276761.
National Health Care Anti-Fraud Association. Consumer Information. National Health Care Anti-Fraud Association, n.d. Accessed June 30, 2025. https://www.nhcaa.org/general-public/consumer-information/.
National Health Care Anti-Fraud Association. “A Private Public Partnership Against Health Care Fraud.” National Health Care Anti-Fraud Association. Accessed August 17, 2025. https://www.nhcaa.org/.
Oktavilia Kristanti and Cris Kuntadi. “Literature Review: Pengaruh Audit Forensik, Audit Inventigatif, Dan Kompetensi Auditor Terhadap Pengungkapan Fraud.” SENTRI : Jurnal Riset Ilmiah 1, no. 3 (2022). https://doi.org/https://doi.org/10.55681/sentri.v1i3.295.
Rahmi, Safirina Aulia, Wahno, and Tiara Asyfia Sidik. “Analisis Strategi Manajemen Klaim Dalam Menekan Risiko Fraud Asuransi Kesehatan: Analisis Systematic Literature Review.” Jurnal Manajemen Informasi Dan Administrasi Kesehatan 8, no. 2 (2025): 104–11. https://doi.org/https://doi.org/10.32585/jmiak.v8i2.7082.
Rakhal Gaitonde, Andrew D. Oxman, Paul O. Okebukola, and Gabriel Rada. “Interventions to Reduce Corruption in The Health Sector.” Cochrane Database of Systematic Reviews, no. 8 (2016). https://doi.org/https://doi.org/10.1002/14651858.CD008856.pub2.
Rofiq, Hanif Noer. “Deteksi Inefisiensi Pada Klaim BPJS Kesehatan Dengan Menggunakan Machine Learning.” Jurnal Jaminan Kesehatan Nasional (Jakarta) 3, no. 1 (2023): 83–98. https://doi.org/https://doi.org/10.53756/jjkn.v3i1.134.
Rozmita Dewi YR and Irfan Ariandi. “The Effect of Internal Control and Anti-Fraud Awareness on Fraud Prevention (A Survey on Inter-Governmental Organizations).” Journal Economics, Business, and Accoutancy Ventura 20, no. 1 (2017). https://doi.org/https://doi.org/10.14414/jebav.v20i1.751.
SeukGue Hong, HyungBin Seo, and MyungKeun Yoon. “Data Auditing for Intelligent Network Security Monitoring.” IEEE Communications Magazine 61, no. 3 (2023). https://doi.org/10.1109/MCOM.003.2200046.
Soerjono Soekanto. Faktor-Faktor Yang Mempengaruhi Penegakan Hukum. Rajawali Pers, 2019.
Taufik, Anvika, Rosdawati, and Syukra Alhamda. “Analisis Implementasi Mekanisme Pengendalian Mutu Dan Pencegahan Fraud Dalam Pelaksanaan Program Jaminan Kesehatan Nasional (JKN) Di Indonesia (Periode 2020-2025) : Tinjauan Literatur.” Jurnal Administrasi Rumah Sakit 3, no. 1 (2026): 1–9. https://doi.org/https://doi.org/10.52741/ars.v3i1.128.
Terry Hutchinson. Researching and Writing in Law. 4th ed. Thomson Reuters, 2018.
United Nations. “Take Action for the Sustainable Development Goals.” United Nations, n.d. Accessed July 15, 2025. https://www.un.org/sustainabledevelopment/sustainable-development-goals/.
Yuda Gao, Bin Shi, Bo Dong, Yiyang Wang, Lingyun Mi, and Qinghua Zheng. “Tax Evasion Detection with FBNE-PU Algorithm Based on PnCGCN and PU Learning.” IEEE 35, no. 1 (2021). https://doi.org/https://doi.org/10.1109/TKDE.2021.3090075.
Yuliana Surya Galih. “Kejahatan Tingkat Tinggi.” Jurnal Ilmiah Galuh Justisi 3, no. 2 (2015). https://doi.org/http://dx.doi.org/10.25157/jigj.v3i2.423.
Downloads
Published
How to Cite
License
Copyright (c) 2026 by the Auhtor(s) Published by Development Centre Research of Law and Scientific Publication on behalf of the Faculty of Law, Universitas Lampung

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





