Deteksi Kecurangan Laporan Keuangan Pada Perusahaan Sektor Farmasi dengan Beneish M-Score
DOI:
https://doi.org/10.35870/jemsi.v11i2.3850Keywords:
Financial Statement Fraud, Beneish M-Score, Non Manipulator, Grey Company, Manipulator, TransparencyAbstract
This research seeks to identify the potential for fraudulent activities in the financial statements of companies operating within the pharmaceutical industry that are listed on the Indonesia Stock Exchange (IDX) from 2020 to 2023. Fraudulent financial reporting can diminish public confidence and have detrimental effects on the economy. The study utilizes the Beneish M-Score method, which evaluates the probability of manipulation in financial statements through ratio analysis. A total of 11 pharmaceutical firms participated in this research and were classified into Non-Manipulator, Grey Company, and Manipulator categories based on the conducted ratio analysis. The results showed an increase in the number of companies classified as Non Manipulators and Manipulators from year to year, while the Gray Company category showed fluctuations. This study provides insight into the prevalence of financial statement fraud in the pharmaceutical sector and suggests the need for stricter supervision to prevent fraudulent practices.
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References
Adhitama, A. (2019, October). APLIKASI BENEISH INDEX UNTUK MENDETEKSI POTENSI KECURANGAN LAPORAN KEUANGAN PADA PERUSAHAAN TAMBANG BATUBARA DI BURSA EFEK INDONESIA (BEI). In PROSIDING SEMINAR NASIONAL CENDEKIAWAN (pp. 2-4). https://doi.org/10.25105/semnas.v0i0.5769.
Agustina, R. D., & Pratomo, D. (2019). Pengaruh fraud pentagon dalam mendeteksi kecurangan pelaporan keuangan. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 3(1), 44-62. https://doi.org/10.31955/mea.vol3.iss1.pp44-62.
Albrecht, W. S., Albrecht, C. O., Albrecht, C. C., & Zimbelman, M. F. (2006). Fraud examination (p. 696). New York, NY: Thomson South-Western.
Aminah, A., & Faramitha, C. Y. (2016). Hubungan Pengendalian Intern Dan Kompensasi Dengan Kecurangan Akuntansi (Studi Pada BPR Di Provinsi Lampung). Jurnal Akuntansi dan Keuangan Universitas Bandar Lampung, 7(1), 94932.
Anggraini, D., Triharyati, E., Novita, H. A., Bina, U., & Lubuklinggau, I. (2019). Akuntansi Forensik dan Audit Investigatif dalam Pengungkapan Fraud. Journal of Economic, Bussines and Accounting (COSTING), 2(2), 372-380.
Annisa, R. A., & Ghozali, I. (2020). Pendeteksian kecurangan laporan keuangan menggunakan analisis beneish m-score pada perusahaan non keuangan yang terdaftar di Bursa Efek Indonesia tahun 2017-2018. Diponegoro Journal of Accounting, 9(3).
Apriani, M., Lestari, N. E. P., & Hidayat, A. (2023). Analisis laporan keuangan untuk menilai kinerja keuangan perusahaan telekomunikasi. Jurnal Pariwisata Bisnis Digital Dan Manajemen, 2(2), 82-89. https://doi.org/10.33480/jasdim.v2i2.4628.
Beneish, M. D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24-36. https://doi.org/10.2469/faj.v55.n5.2296.
Christy, Y. E., & Stephanus, D. S. (2018). Pendeteksian kecurangan laporan keuangan dengan Beneish M-score pada perusahaan perbankan terbuka. Jurnal Akuntansi Bisnis, 16(2), 148.
Claudia, E. R. (2023). PENGARUH SUMBER DAYA MANUSIA, TEKNOLOGI, DAN PENGENDALIAN INTERN AKUNTANSI TERHADAP INFORMASI PELAPORAN KEUANGAN PDAM JAMBI. TRILOGI ACCOUNTING & BUSINESS RESEARCH, 4(1), 78-94.
Cressey, D. R. (1953). Other people's money; a study of the social psychology of embezzlement.
Fajriati, T., Mugayat, A., & Yulianty, P. D. (2024). Analisis Fraud Triangle Untuk Mendeteksi Kecurangan Laporan Keuangan Pada Sub Sektor Farmasi yang terdaftar di Bursa Efek Indonesia Periode Tahun 2017-2020. Jurnal Proaksi, 11(1), 221-238.
Fernando, D., & Sitorus, T. (2020). Internal audit, kualitas pengendalian, asimetri informasi, perilaku disfungsional staff accounting dan pengaruhnya terhadap kecurangan akuntansi. Journal of Business & Applied Management, 13(2), 147-164.
Handayani, R., Sutarjo, A., & Yani, M. (2021). Pengaruh Pressure, Opportunity Dan Rationalization (Fraud Triangle) Terhadap Financial Statement Fraud. Pareso Jurnal, 3(3), 683-694.
Haryanti, C. S. (2015). Analisis Perbandingan Laporan Keuangan Untuk Menilai Kinerja Keuangan Pada Perusahaan Telekomunikasi (Studi Kasus BEI). Serat Acitya, 4(2), 52. http://dx.doi.org/10.56444/sa.v4i2.154.
Jannah, V. M., Andreas, A., & Rasuli, M. (2021). Pendekatan Vousinas Fraud Hexagon Model dalam Mendeteksi Kecurangan Pelaporan Keuangan. Studi Akuntansi Dan Keuangan Indonesia, 4(1), 1-16. https://doi.org/10.21632/saki.4.1.1-16.
Lestari, M. I., & Henny, D. (2019). Pengaruh fraud pentagon terhadap fraudulent financial statements pada perusahaan perbankan yang terdaftar di bursa efek Indonesia tahun 2015-2017. Jurnal Akuntansi Trisakti, 6(1), 141-156.
Mahama, M. (2015). Detecting corporate fraud and financial distress using the Altman and Beneish models. International Journal of Economics, Commerce and Management, 3(1), 1-18.
Maharany, G. L., & Oktavia, R. (2024). APAKAH MANAJEMEN LABA MERUSAK PRINSIP TRANSPARANSI DAN AKUNTABILITAS INFORMASI KEUANGAN?. Journal of Applied Management and Accounting Science, 5(2), 182-193.
Pamungkas, I. D., & Sukma, S. F. (2022). Menguji Potensi Kecurangan Pelaporan Keuangan Dengan Menggunakan Teori Fraud Hexagon. Jurnal Akuntansi Dan Bisnis Krisnadwipayana, 9(3), 864-875.
Pasaribu, R. B. F., & Kharisma, A. (2018). Fraud laporan keuangan dalam perspektif fraud triangle. Jurnal Riset Akuntansi Dan Keuangan, 14(1), 53-65.
Rachmani, A. R., Chaerunisa, A. B., Lais, C. R., Nagari, M. P., Arvian, R., & Anggraini, Y. (2019, October). Sistem Informasi Akuntansi Sebagai Alat Komunikasi Perusahaan Dengan Para Stakeholder. In Prosiding Seminar Nasional Cendekiawan (pp. 2-54). https://doi.org/10.25105/semnas.v0i0.5846.
Ristianingsih, I. (2018). Telaah konsep fraud diamond theory dalam mendeteksi perilaku fraud di perguruan tinggi. UNEJ e-Proceeding, 128-139.
Rosmiati, R., Aminah, A., Khairudin, K., Haninun, H., & Wibowo, S. (2018). Analisis Implementasi Standar Akuntansi Keuangan Entitas Tanpa Akuntabilitas Publik Pada Laporan Keuangan Umkm (Studi Kasus Pada Rumah Makan Apin Dan Smile Cell). Jurnal Akuntansi dan Keuangan Universitas Bandar Lampung, 9(2), 66-83. https://doi.org/10.36448/jak.v9i2.1091.
Roxas, M. L. (2011). Financial statement fraud detection using ratio and digital analysis. Journal of Leadership, Accountability, and Ethics, 8(4), 56-66.
Susilawati, S. (2015). Pengaruh profesionalisme dan independensi auditor internal terhadap kualitas audit: studi pada inspektorat Propinsi jawa barat. Etikonomi, 13(2).
Vivianita, A., & Indudewi, D. (2019). Financial statement fraud pada perusahaan pertambangan yang dipengaruhi oleh fraud pentagon theory (studi kasus di perusahaan tambang yang terdaftar di bei tahun 2014-2016). Jurnal Dinamika Sosial Budaya, 20(1), 1-15.
Warseno, S. S., & Rafika, A. S. (2023). Pendekteksian Kecurangan Laporan Keuangan Menggunakan Beneish M-Score Model Pada Perusahaan Perbankan Periode 2014-2018. Indonesian Journal Accounting (IJACC), 4(1).
Wulandari, W., Prasita, P., & Syahputri, D. C. FRAUD TRIANGLE THEORY DAN PERANNYA TERHADAP PENDETEKSIAN DAN PENCEGAHAN KORUPSI DI SEKTOR PUBLIK PEMERINTAHAN INDONESIA. ABDI EQUATOR, 3(2), 91-108. https://doi.org/10.26418/abdiequator.v3i2.71370.
Zelin, C. (2018). Analisis fraud pentagon dalam mendeteksi kecurangan laporan keuangan dengan menggunakan fraud score model.
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