Pendeteksian Kecurangan Laporan Keuangan dengan Beneish M-Score Pada perusahaan Manufaktur

Authors

  • Ariansyah Ariansyah Universitas Mercu Buana
  • Yulia Yustikasari Universitas Mercu Buana

DOI:

https://doi.org/10.22441/jpma.v1i2.9951

Keywords:

Beneish Model, Early Detection, Financial Report Fraud, Gray Company, Manipulator and Non-Manipulator

Abstract

This study aims to determine the percentage of manufacture listed on the BEI in 2016-2017 which are classified as non manipulator, gray company and manipulator by using five indexes of Days Sales in Receivable Index (DSRI), Gross Margin Index (GMI), Asset Quality Index (AQI), Sales Growth Index (SGI), and Total Accrual To Total Assets Index (TATA). The method of collecting data is documentation with the number of samples are 54 manufacture companies listed on BEI Year 2016-2017. Data analysis used is Beneish Ratio Index. The results revealed that the percentage of manufacture companies classified as non manipulator in 2016-2017 amounted to 68.5%, . The percentage of manufacture companies classified as gray company in 2016-2017 amounted to 26% . Percentage of manufacture companies that are classified as manipulators In 2016-2017 amounted to 5.5%.

Downloads

Download data is not yet available.

References

Beneish, Messod D. (1999). The Detection of Earnings Manipulation.Financial Analysis Journal.Vol.26 No.55, hal 24-36.

Darmawan, Astrid Zulfa. 2016. “Analisis Beneish Ratio Index Untuk Mendeteksi Kecurangan Laporan Keuangan.” Jurnal Profita Edisi 2(6).

Mavengere, K. 2015. Memprediksi Perusahaan Kepailitan dan Laba Manipulasi Menggunakan Altman Z-Score dan Beneish M-Score: Kasus Perusahaan Manufaktur di Zimbabwe. International Journal of Sciences Manajemen dan Penelitian Bisnis 4 (10): 8-14.

Ratna Wardhani. 2012. Faktor-faktor Penyebab dan Konsekuensi dari Kecurangan Pelaporan Keuangan (Fraud): Suatu Tinjauan Teoritis.

Listiana Norbarani. 2012. Pendeteksian Kecurangan Laporan Keuangan Dengan Analisis Fraud Triangle Yang Diadopsi Dalam SAS No.99. Skripsi. Ekonomika dan Bisnis Universitas Diponegoro.

W. Steve Albrecht & Chad.O.Albrecht. (Eds.) (2003). Fraud Examination and Prevention. New York, NY: South – Western Educational Pub.

Roxas. 2011. Laporan keuangan Fraud Detection Menggunakan Rasio dan Analisis Digital.

Journal of Leadership, Akuntabilitas dan Etika 8 (4): 56-66.

Published

2022-06-14

How to Cite

Ariansyah, A., & Yustikasari, Y. (2022). Pendeteksian Kecurangan Laporan Keuangan dengan Beneish M-Score Pada perusahaan Manufaktur. Jurnal Pena-Mas Akuntansi, 1(2), 77–92. https://doi.org/10.22441/jpma.v1i2.9951

Issue

Section

Articles

Similar Articles

<< < 1 2 3 > >> 

You may also start an advanced similarity search for this article.