Peran Big Data Analytics dan Kualitas Audit dalam Memperkuat Kemampuan Auditor Mendeteksi Kecurangan Laporan Keuangan
DOI:
https://doi.org/10.35870/jemsi.v10i3.2350Keywords:
Big Data Analytics, Kualitas Audit, Pendeteksian KecuranganAbstract
Penelitian ini bertujuan untuk menganalisis pengaruh big data analytics terhadap kualitas audit serta dampaknya pada kemampuan auditor dalam mendeteksi kecurangan laporan keuangan. Kualitas audit dalam penelitian berperan sebagai variabel mediasi atau intervening. Penelitian ini merupakan jenis penelitian kuantitatif deskriptif dan asosiatif dengan menggunakan metode survei melalui penyebaran kuesioner dalam pengumpulan datanya. Adapun responden dalam penelitian ini adalah 51 (lima puluh satu) pemeriksa di Badan Pemeriksa Keuangan Perwakilan Provinsi Bangka Belitung. Pengujian statistik dalam penelitian ini berupa structural equation modelling (SEM) dengan bantuan aplikasi SmartPLS versi keempat. Hasil dari penelitian ini menunjukkan bahwa big data analytics berpengaruh terhadap kualitas audit, tetapi tidak dengan pendeteksian kecurangan. Kualitas audit pun terbukti berpengaruh terhadap pendeteksian kecurangan, namun belum mampu memediasi hubungan big data analytics terhadap kemampuan auditor dalam mendeteksi kecurangan laporan keuangan.
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References
Anissa, A. I. N. A., & Novita, N. (2023). Penggunaan Data Analytics Terhadap Peningkatan Deteksi Kecurangan Pada Pemeriksaan Eksternal. Journal of Economic, Management, Accounting, and Tcehnology (JEMATech), 6(1), 34–45. https://doi.org/https://doi.org/10.32500/jematech.v6i1.3435
Association of Certified Fraud Examiners (ACFE). (2022). Occupational Fraud 2022: A Report to the nations. Association of Certified Fraud Examiners, 1–96.
Bendickson, J., Muldoon, J., Liguori, E., & Davis, P. E. (2016). Agency theory: the times are changing. Management Decision, 54(1), 174–193. https://doi.org/DOI 10.1108/MD-02-2015-0058
BPK RI. (2018). Menelisik Cara Kerja BPK dalam Memeriksa Keuangan Negara. BPK Perwakilan Provinsi Sulawesi Selatan. https://sulsel.bpk.go.id/menelisik-cara-kerja-bpk-dalam-memeriksa-keuangan-negara/
BPK RI. (2021). BPK GELAR WORKSHOP PENGGUNAAN BIG DATA ANALYTICS (BIDICS). BPK Republik Indonesia. https://www.bpk.go.id/news/bpk-gelar-workshop-penggunaan-big-data-analytics-bidics
BPK RI. (2022). DUGAAN TINDAK PIDANA KORUPSI DANA APBD OLEH BENDAHARA DINAS KESEHATAN PROVINSI KEPULAUAN BANGKA BELITUNG. BPK PERWAKILAN PROVINSI KEPULAUAN BANGKA BELITUNG. https://babel.bpk.go.id/dugaan-tindak-pidana-korupsi-dana-apbd-oleh-bendahara-dinas-kesehatan-provinsi-kepulauan-bangka-belitung/
Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. ResearchGate, 295–336.
Claudiastuti, M. A. (2023). Pengaruh Mitigasi Akuntansi Forensik Dan Integrasi Teknologi Big Data Terhadap Deteksi Kecurangan Internal. Jurnal Ekonomi Trisakti, 3(2), 3415–3424. https://doi.org/10.25105/jet.v3i2.18132
Ginting, R. (2022). Analisis Big Data (R. Firmansyah & Y. D. Kristanto (eds.)). Lakeisha.
Hair, J. F., Hult, T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. In Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705511.2022.2108813
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hartono, J. (2019). Kajian Topik-Topik Mutakhir dan Agenda Riset ke Depan (1st ed.) (Edisi Pert). Andi.
Jensen, M. C., & Meckling, W. H. (1976). THEORY OF THE FIRM: MANAGERIAL BEHAVIOR, AGENCY COSTS AND OWNERSHIP STRUCTURE. Journal of Financial Economics, 3(4), 305–360. https://doi.org/https://doi.org/10.1016/0304-405X(76)90026-X
Kompas. (2023, April 10). Berbagai Kasus “Fraud” Membahayakan Ekonomi Indonesia. Kompas.Com. https://money.kompas.com/read/2023/04/10/140841526/berbagai-kasus-fraud-membahayakan-ekonomi-indonesia?page=all
Listya, A., Aspahani, & Sitepu, C. D. S. (2023). Implementasi Big Data Analytics dan Opini Audit terhadap Kualitas Audit : Audit Delay Sebagai Variabel Mediasi. Owner: Riset Dan Jurnal Akuntansi, 7(3), 2062–2071. https://doi.org/10.33395/owner.v7i3.1531
Mahkamah Konstitusi Republik Indonesia. (2022, February 9). APBN dan APBD Memiliki Kesatuan Arah Anggaran untuk Kemakmuran Rakyat. Mahkamah Konstitusi Republik Indonesia. https://www.mkri.id/index.php?page=web.Berita&id=17987&menu=2
Meitasari, R. C., & Manurung, E. T. (2023). Perceived Ease of Use and Usefulness of Big Data to Audit Quality. Proceeding of International Conference on Accounting and Finance, 1, 123–128. https://doi.org/10.20885/InCAF.vol1.art14
Putra, N. S., Ritchi, H., & Alfian, A. (2023). Hubungan Big Data Analytics terhadap Kualitas Audit: Penerapan pada Instansi Pemerintah. Jurnal Riset Akuntansi Dan Keuangan, 11(1), 57–72. https://doi.org/10.17509/jrak.v11i1.55139
Putra, W. E., Kusuma, I. L., & Dewi, M. W. (2021). MODEL HUBUNGAN KOMPETENSI, INDEPENDENSI, PROFESIONALISME DAN KUALITAS AUDIT SERTA DAMPAKNYA TERHADAP KEMAMPUAN MENDETEKSI FRAUDS. Jurnal Akuntansi Dan Pajak, 22(2), 1–14. https://doi.org/10.29040/jap.v22i2.3517
Putri, A. M. H. (2023, April 18). Kacau! Bupati Mendominasi Deretan Pejabat yang Kena OTT 2023. CNBC Indonesia. https://www.cnbcindonesia.com/research/20230417203652-128-430765/kacau-bupati-mendominasi-deretan-pejabat-yang-kena-ott-2023
Riyanti, E. C., W Putri, H. C., Artadi, W., & Umar, H. (2019). PENGARUH KUALITAS AUDIT TERHADAP FRAUDULENT FINANCIAL REPORTING DENGAN KOMITE AUDIT SEBAGAI VARIABEL MODERASI (Studi Empiris Pada Perusahaan Manufaktur yang terdaftar di BEI tahun 2016 – 2018). PROSIDING SEMINAR NASIONAL CENDEKIAWAN, 2. https://doi.org/10.25105/semnas.v0i0.5774
Saragih, A. D., & Dewayanto, T. (2023). Systematic Literature Review : Dampak Teknologi Big Data Analytics Dalam Mendeteksi Fraud Pada Bidang Audit. Diponegoro Journal of Accounting, 12(3), 1–9. http://ejournal-s1.undip.ac.id/index.php/accounting
Syahputra, B. E., & Afnan, A. (2020). Pendeteksian Fraud: Peran Big Data dan Audit Forensik. Jurnal ASET (Akuntansi Riset), 12(2), 301–316. https://doi.org/10.17509/jaset.v12i2.28939
Tandiontong, M. (2016). Kualitas Audit dan Pengukurannya. Alfabeta.
Tang, J., & Karim, K. E. (2017). Big Data in Business Analytics: Implications for the Audit Profession. The CPA Journal, 87(6), 34–39. https://www.cpajournal.com/2017/06/26/big-data-business-analytics-implications-audit-profession/
Tunggal, A. W. (2016). Aspek - Aspek Audit Kecurangan. Harvarindo.
Wawo, A. (2022). Pengaruh Kualitas Audit dan Whistleblowing System Terhadap Pendeteksian Fraud. SEIKO : Journal of Management & Business, 5(2), 681–696. https://doi.org/10.37531/sejaman.vxix.2353
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