scholarly journals Analisis Financial Statement Fraud Menggunakan Beneish M-Score Model Pada Perusahaan Pertambangan Yang Terdaftar Di Bursa Efek Indonesia

2020 ◽  
Vol 7 (1) ◽  
pp. 7
Author(s):  
Fitri Aulia Rachmi ◽  
Djoko Supatmoko ◽  
Bunga Maharani
Keyword(s):  
Quality Index ◽  
Growth Index ◽  
Financial Statement ◽  
Total Asset ◽  
Sales Growth ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Score Model ◽  
Asset Quality ◽  
Total Accrual

Penelitian ini bertujuan menguji dan menganalisis penggunaan model Beneish M-Score untuk mendeteksi financial statement fraud. Data yang digunakan adalah data sekunder berupa laporan keuangan perusahaan pertambangan terbuka di Indonesia. Metode penelitian yang digunakan adalah metode kuantitatif dengan analisis diskriminan. Metode analisis diskriminan digunakan untuk menganalisa hubungan antara model Beneish M-Score dengan financial statement fraud dengan cara melihat faktor atau variabel mana yang secara nyata dapat mempengaruhi variabel dependen. Pengaplikasian analisis diskriminan dilakukan untuk menguji variabel independen manakah yang secara akurat dapat membedakan sampel laporan keuangan yang diduga telah dimanipulasi dan laporan keuangan yang diduga tidak dimanipulasi. Hasil penelitian menunjukkan bahwa variabel yang mampu membedakan sampel laporan keuangan yang diduga telah dimanipulasi dan diduga tidak dimanipulasi adalah variabel Days Sales Receivable Index (DSRI), Gross Margin Index (GMI), Sales Growth Index (SGI), dan Total Accrual to Total Asset (TATA) sementara variabel Asset Quality Index (AQI), Depreciation Index (DEPI), Sales and General Administration Expenses Index (SGAI), Leverage Index (LVGI) terbukti tidak mampu membedakan laporan keuangan yang diduga telah dimanipulasi dan diduga tidak dimanipulasi.

scholarly journals ANALISIS PENDETEKSIAN FINANCIAL STATEMENT FRAUD DENGAN PENDEKATAN MODEL BENEISH PADA PERUSAHAAN BUMN

2018 ◽  
Vol 13 (04) ◽  
Author(s):  
Hantono .
Keyword(s):  
Quality Index ◽  
Stock Exchange ◽  
Growth Index ◽  
Sampling Technique ◽  
Financial Statement ◽  
Fiscal Year ◽  
Sales Growth ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Asset Quality

This study aims to detect the possibility of fraud on BUMN companies listing on the Indonesia Stock Exchange 2012-2016 by using eight of Beneish's Model.The object of this study is all BUMN companies listing on the Indonesia Stock Exchange which publishes audited financial statements for fiscal year 2012 - 2016, which amounted to 20 (twenty) companies. The sampling technique is by using purposive sampling method where the sample is determined based on certain criteria determined by the researcher and has limitations in terms of generalization. The sample of research is 50 (fifty companies) Data collection method using documentation method Data analysis technique used is descriptive quantitative analysis using Beneish Ratio Index Variable in this research is Days' Sales In Receivables Index (DSRI), Gross Margin Index ( GMI), Asset Quality Index (AQI), Sales Growth Index (SGI), and Total Accruals To Total Assets Index (TATA)) Based on the eight models of Beneish's Model, the Days' Sales In Receivables Index (DSRI), Gross Margin Index GMI), Asset Quality Index (AQI), Sales Growth Index (SGI), and Total Accruals To Total Assets Index (TATA) have no effect on fraud.Keywords:   financial statement, fraud, Beneish’s Model

scholarly journals PENDETEKSIAN KECURANGAN LAPORAN KEUANGAN DENGAN BENISH M-SCORE PADA PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

Solusi ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Amerti Irvin Widowati ◽  
Linda Ayu Oktoriza
Keyword(s):  
Quality Index ◽  
Growth Index ◽  
Sales Growth ◽  
Indiana University ◽  
Gross Margin ◽  
Asset Quality ◽  
Total Accrual

<p>Beneish M-Score adalah suatu teknik analisis laporan keuangan dapat dit-erapkan untuk mendeteksi kecurangan laporan keuangan berupa manipulasi laba earning overstatement. Pernyataan ini telah dijawab oleh Messod D. Beneish, seorang profesor di Indiana University yang melakukan penelitian atas perbedaan kuantitaif antara perusahaan yang teridentifikasi telah melakukan manipulasi laba dan perusahaan yang teridentifikasi tidak melakukan manipulasi laba.</p><p>Objek penelitian ini adalah perusahaan sektor Penghasil bahan baku dan manufaktur yang terdaftar di BEI tahun 2019. Terdapat 178 perusahaan yang menjadi sampel pada penelitian ini. Teknik penentuan sampel menggunakan non probability-purposive judgement sampling. Metode pengumpulan data menggunakan metode dokumentasi. Metode analisis data dengan deskriptif kuantitatif menggunakan rasio yang dikemukakan oleh Messod D.Beneish. Terdapat 5 variabel pengukuran yaitu Days’ Sales In Receivables Index (DSRI), Gross Margin Index (GMI), Asset Quality Index (AQI), Sales Growth Index (SGI), dan Total Accrual To Total Assets Index (TATA).</p><p>Hasil dari penelitian ini adalah: 1) terdapat 2 perusahaan yang tergoLong manipulator yang ditunjukkan dengan masuk kategori manipulator pada 3 kategori dari 5 kategori yang diukur; 2)sedangkan lainnya termasuk dalam kategori Non manipulator dan Grey company.</p><p align="left"> </p><p align="left"> </p><p align="left">Kata kunci: Beneish M-Score, Laporan keuangan</p>

scholarly journals Testing of Fraudulent Financial Statements With the Beneish M-Score Model for Manufacturing Companies Listed in the Indonesian Stock Exchange

2021 ◽  
Author(s):  
Ponny Harsanti ◽  
Ulva Rizky Mulyani
Keyword(s):  
Stock Exchange ◽  
Growth Index ◽  
Financial Statements ◽  
Manufacturing Companies ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Financial Condition ◽  
Score Model ◽  
Asset Quality ◽  
Fraudulent Financial Statements

Fraudulent financial statements are disclosures of a company’s financial condition which are intentionally made inaccurate by eliminating values. This study aimed to examine the effect of using the Beneish M-Score model against fraud reports of manufacturing companies listed in the Indonesian Stock Exchange in 2016 -2018. Purposive sampling was used and the sample consisted of 69 companies. The results showed that the Days Sales in Receivables Index, Gross Margin Index and Total Accrual to Total Asset had a significant positive effect on financial statement fraud, while the Asset Quality Index, Sales Growth Index, Depreciation Index, Sales General and Administrative Expenses Index, and Leverage Index did not affect fraudulent financial statements. Keywords: fraud, Beneish, logistic regression

scholarly journals Model Prediksi Financial Distress Grup Perusahaan Keluarga Di Indonesia Dengan Model Beneish Ratio Index

2020 ◽  
Vol 7 (02) ◽  
pp. 235-246
Author(s):  
Nurina Prawinin Tyas ◽  
Nurmala Ahmar ◽  
M. Ardiansyah Syam
Keyword(s):  
Financial Distress ◽  
Quality Index ◽  
Stock Exchange ◽  
Secondary Data ◽  
Growth Index ◽  
Sales Growth ◽  
Gross Margin ◽  
The Family ◽  
The Government ◽  
Asset Quality

ABSTRACT        This study aims to test and prove the empirical evidence of the Financial Distress Prediction Model of Family Companies in Indonesia with the Beneish Ratio Index. The sample used in this study is a group of family companies in Indonesia which are listed on the Indonesia Stock Exchange with an observation period of 31 December 2014 to 2018. The research method used is a quantitative method with a survey approach for secondary data. The Days Sales in Receivable Index (DSRI), Sales Growth Index (SGI), Sales General and Administrative Index (SGAI), and Leverage Index (LVGI) variables do not differ in the treatment of the Beneish Model components based on the Financial Distress status of the Family Group Company. Variable Gross Margin Index (GMI), Asset Quality Index (AQI), Depreciation Index (DEPI), and Total Accruals to Total Assets Index (TATA) differ in the treatment of the Beneish Model component based on the Financial Distress status of the Family Company Group. This research contributes to the parties concerned with the prediction of financial distress, such as auditors and the government in assessing the potential for financial distress in the company. ABSTRAK         Studi ini bertujuan untuk menguji dan membuktikan bukti empiris Model Prediksi Financial Distress Grup Perusahaan Keluarga Di Indonesia Dengan Beneish Ratio Index. Sampel yang digunakan dalam penelitian ini adalah Grup perusahaan keluarga di Indonesia yang terdaftar di Bursa Efek Indonesia dengan periode pengamatan 31 Desember 2014 hingga 2018. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan survey untuk data sekunder. Variabel Days Sales in Receivable Index (DSRI), Sales Growth Index (SGI), Sales General and Administrative Index (SGAI), dan Leverage Index (LVGI) tidak ada perbedaan perlakuan komponen Beneish Model berdasarkan status Financial Distress pada Grup Perusahaan Keluarga. Variabel Gross Margin Index (GMI), Asset Quality Index (AQI), Depreciation Index (DEPI), dan Total Accruals to Total Assets Index (TATA) ada perbedaan perlakuan komponen Beneish Model berdasarkan status financial distress pada Grup Perusahaan Keluarga. Riset ini memberikan panduan kepada pihak-pihak yang berkepentingan terhadap memprediksi financial distress yang akan terjadi dalam perusahaan ataupun industri, pihak yang berkepentingan seperti Auditor dan Pemerintahan. JEL Classification : G32, M41

scholarly journals PENDETEKSIAN KECURANGAN LAPORAN KEUANGAN MENGGUNAKAN METODE BENEISH RATIO INDEX PADA PERUSAHAAN MANUFAKTUR SUB SEKTOR KIMIA DAN FARMASI YANG TERDAFTAR DI BEI TAHUN 2016-2019

2021 ◽  
Author(s):  
Firdaus Adi Sentari ◽  
◽  
Fitriana Fitriana ◽  
Didin Saepudin ◽  
◽  
...  
Keyword(s):  
Quality Index ◽  
Growth Index ◽  
Sales Growth ◽  
Gross Margin ◽  
Asset Quality

Kasus kecurangan laporan keuangan (fraud) yang terjadi di dunia terus mengalami peningkatan, begitu juga di Indonesia. Kecurangan yang terjadi memberikan dampak yang besar bagi perusahaan maupun bagi pengguna laporan keuangan lainnya. Maka dari itu diperlukan suatu alat deteksi yang bisa digunakan untuk mengetahui kemungkinan dilakukannya tindakan fraud sebagai upaya mengurangi kerugian yang timbul akibat kecurangan tersebut, salahsatunya metode Beneish Ratio Index. Penelitian ini dilakukan untuk mendeskripsikan dan menguji pengaruh Days Sales Receivable Index (DSRI), Gross Margin Index (GMI), Asset Quality Index (AQI), Sales Growth Index (SGI) dan Depreciation Index (DEPI) yang menjadi variabel Beneish Ratio Index terhadap pendeteksian kecurangan laporan keuangan (fraud) pada perusahaan manufaktur sub sektor kimia dan farmasi yang terdaftar di BEI tahun 2016-2019. Metode penelitian yang digunakan adalah metode deskriptif dan verifikatif. Teknik analis data menggunakan analisis regresi logistik dengan menggunakan software SPSS 21. Hasil penelitian membuktikan bahwa: (1) Rata-rata perusahaan yang menjadi sampel penelitian memiliki kondisi DSRI, GMI, AQI, SGI dan DEPI yang kurang baik; (2) Semakin tinggi DSRI, GMI, AQI, SGI dan DEPI maka semakin tinggi terdeteksinya kecurangan laporan keuangan; (3) Tinggi rendahnya DSRI tidak ada pengaruhnya terhadap terdeteksinya kecurangan laporan keuangan; (4) Semakin tinggi GMI maka semakin tinggi terdeteksinya kecurangan laporan keuangan; (5) Tinggi rendahnya AQI tidak ada pengaruhnya terhadap terdeteksinya kecurangan laporan keuangan; (6) Semakin tinggi SGI maka semakin tinggi terdeteksinya kecurangan laporan keuangan; (7) Tinggi rendahnya DEPI tidak ada pengaruhnya terhadap terdeteksinya kecurangan laporan keuangan.

scholarly journals Model Prediksi Financial Distress Grup Perusahaan Keluarga Di Indonesia Dengan Model Beneish Ratio Index

2020 ◽  
Vol 7 (02) ◽  
pp. 235-246
Author(s):  
Nurina Prawinin Tyas ◽  
Nurmala Ahmar ◽  
M. Ardiansyah Syam
Keyword(s):  
Financial Distress ◽  
Quality Index ◽  
Stock Exchange ◽  
Secondary Data ◽  
Growth Index ◽  
Sales Growth ◽  
Gross Margin ◽  
The Family ◽  
The Government ◽  
Asset Quality

ABSTRACT        This study aims to test and prove the empirical evidence of the Financial Distress Prediction Model of Family Companies in Indonesia with the Beneish Ratio Index. The sample used in this study is a group of family companies in Indonesia which are listed on the Indonesia Stock Exchange with an observation period of 31 December 2014 to 2018. The research method used is a quantitative method with a survey approach for secondary data. The Days Sales in Receivable Index (DSRI), Sales Growth Index (SGI), Sales General and Administrative Index (SGAI), and Leverage Index (LVGI) variables do not differ in the treatment of the Beneish Model components based on the Financial Distress status of the Family Group Company. Variable Gross Margin Index (GMI), Asset Quality Index (AQI), Depreciation Index (DEPI), and Total Accruals to Total Assets Index (TATA) differ in the treatment of the Beneish Model component based on the Financial Distress status of the Family Company Group. This research contributes to the parties concerned with the prediction of financial distress, such as auditors and the government in assessing the potential for financial distress in the company. ABSTRAK         Studi ini bertujuan untuk menguji dan membuktikan bukti empiris Model Prediksi Financial Distress Grup Perusahaan Keluarga Di Indonesia Dengan Beneish Ratio Index. Sampel yang digunakan dalam penelitian ini adalah Grup perusahaan keluarga di Indonesia yang terdaftar di Bursa Efek Indonesia dengan periode pengamatan 31 Desember 2014 hingga 2018. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan survey untuk data sekunder. Variabel Days Sales in Receivable Index (DSRI), Sales Growth Index (SGI), Sales General and Administrative Index (SGAI), dan Leverage Index (LVGI) tidak ada perbedaan perlakuan komponen Beneish Model berdasarkan status Financial Distress pada Grup Perusahaan Keluarga. Variabel Gross Margin Index (GMI), Asset Quality Index (AQI), Depreciation Index (DEPI), dan Total Accruals to Total Assets Index (TATA) ada perbedaan perlakuan komponen Beneish Model berdasarkan status financial distress pada Grup Perusahaan Keluarga. Riset ini memberikan panduan kepada pihak-pihak yang berkepentingan terhadap memprediksi financial distress yang akan terjadi dalam perusahaan ataupun industri, pihak yang berkepentingan seperti Auditor dan Pemerintahan. JEL Classification : G32, M41

Using Beneish model to detect corporate financial statement fraud in Greece

2016 ◽  
Vol 23 (4) ◽  
pp. 1063-1073 ◽  
Author(s):  
Spyridon Repousis
Keyword(s):  
Stock Exchange ◽  
Banking System ◽  
Limited Liability ◽  
Growth Index ◽  
Financial Statements ◽  
Financial Statement ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Data Set ◽  
Content Type

Purpose This paper aims to investigate empirically the eight-variables Beneish M-model to identify occurrence of financial statement fraud or tendency to engage in earning manipulation. Design/methodology/approach A data set of 25,468 companies (Société Anonyme and Limited Liability Companies) in Greece was analyzed during two-year period of 2011-2012. Financial statements of banks are excluded. Findings The results showed that 8,486 companies or 33 per cent of the whole sample has a greater than −2.2 score, which is a signal that companies are likely to be manipulators. Also, for manipulators, results using F-distribution showed that days sales in receivable index (DSRI), asset quality index (AQI), depreciation index, selling, general and administrative expenses index (SGAI), total accruals to total assets index and leverage index (LVGI) are significant at 99 per cent confidence level in its effect on Beneish M-score. Also, there is a significant relationship between earning management, as expressed by Beneish M-score and each one of variables, DSRI, AQI, gross margin index, sales growth index, SGAI and LVGI. Most of all, DSRI explains 95.92 per cent of the variation in Beneish M-score in statistical terms. Practical implications Results are important for banking system, because financial statements information influence credit decisions of banks. Debt agreements include terms based upon accounting numbers. Also, using Beneish Model, it is a cheap and easy way for examiners of possible fraudulent activity. Originality/value To the best of the author’s knowledge, there is a great lack of research in Greece, using Beneish model. There is only one more study using the Beneish model, examining only a few companies listed in Athens Stock Exchange during 1999-2000. Findings have also important implications not only for banks but also for users of Greek financial statement accounts, especially to investors, auditors, regulators, to taxation and other state authorities.

scholarly journals ANALISIS BENEISH M-SCORE UNTUK MENDETEKSI FINANCIAL STATEMENT FRAUD PADA PT. GARUDA INDONESIA Tbk PERIODE 2017-2019

2021 ◽  
Vol 6 (1) ◽  
pp. 44-51
Author(s):  
Dedi Julianto ◽  
Marjono Marjono ◽  
Aminullah Labangge
Keyword(s):  
Financial Statements ◽  
Financial Statement ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Gray Area ◽  
Score Model

This study aims to detect financial statement fraud at PT. Garuda Indonesia in 2017-2019 used the Beneish M Score model and testing whether the Beneish M Score model can detect the occurrence of financial statement fraud at PT. Garuda Indonesia in 2018. The results of this study indicate that PT Garuda Indonesia was classified in the Gray criteria, that can be interpreted as manipulate or not manipule financial statements in 2017 and 2018 and classified in the criteria not manipulate financial statements in 2019. The results of this study also found that the Beneish M Score model could not accurately to detect the manipulation of financial statements at PT. Garuda Indonesia in 2018, because only two ratios are Gross Margin Index (GMI) and Days Sales in Receivable Index (DSRI) which detect manipulation of financial statements, so they are only classified in the gray area criteria

FRAUD TRIANGLE ANALYSES IN DETECTING FRAUDULENT FINANCIAL STATEMENT USING FRAUD SCORE MODEL

2020 ◽  
Vol 25 (1) ◽  
pp. 29-44
Author(s):  
Mariati ◽  
Emmy Indrayani
Keyword(s):  
Financial Stability ◽  
Linear Regression Analysis ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
External Pressure ◽  
Financial Statement ◽  
Fraud Triangle ◽  
Financial Statement Fraud ◽  
Financial Condition ◽  
Score Model

Company’s financial condition reflected in the financial statements. However, there are many loopholes in the financial statements which can become a chance for the management and certain parties to commit fraud on the financial statements. This study aims to detect financial statement fraud as measured using fraud score model that occurred in issuers entered into the LQ-45 index in 2014-2016 with the use of six independent variables are financial stability, external pressure, financial target, nature of industry, ineffective monitoring and rationalization. This study using 27 emiten of LQ-45 index during 2014-2016. However, there are some data outlier that shall be removed, thus sample results obtained 66 data from 25 companies. Multiple linear regression analysis were used in this study. The results showed that the financial stability variables (SATA), nature of industry (RECEIVBLE), ineffective monitoring (IND) and rationalization (ITRENDLB) proved to be influential or have the capability to detect financial statement fraud. While the external pressure variables (DER) and financial target (ROA) are not able to detect the existence of financial statement fraud. Simultaneously all variables in this study were able to detect significantly financial statement fraud.

scholarly journals FRAUD PENTAGON THEORY DALAM FINANCIAL STATEMENT FRAUD PADA PERUSAHAAN TERDAFTAR di JAKARTA ISLAMIC INDEX (JII) PERIODE 2014-2017 (Perspektif F-Score Model)

2019 ◽  
Vol 4 (2) ◽  
pp. 128-138
Author(s):  
Faiz Rahman Siddiq ◽  
Agus Endrianto Suseno
Keyword(s):  
Financial Stability ◽  
External Pressure ◽  
Financial Statement ◽  
Fraud Triangle ◽  
Financial Statement Fraud ◽  
Purposive Sampling ◽  
Auditing Standards ◽  
Score Model ◽  
Financial Need

Financial statement fraud biasa disebut dengan kecurangan laporan keuangan yang merupakan kesengajaan dalam melakukan kelalaian dan kesalahan ketika  membuat laporan keuangan dengan penyajian yang tidak sesuai pada prinsip akuntansi berterima umum. Statement on Auditing Standards (SAS) No.99 menjelaskan tentang salah saji yang berhubungan dengan auditor dalam mengaudit laporan keuangan terhadap fraud diantaranya adalah (1) salah saji dari kesalahan suatu laporan keuangan merupakan suatu  pengungkapan yang direncanakan guna menipu pengguna laporan keuangan, (2) penyalahgunaan aset atau istilah lain pencurian dan penggelapan sering dijadikan sebagai salah saji dalam laporan keuangan. Fraud pentagon theory merupakan pengembangan dari teori fraud sebelumnya yaitu fraud triangle (Cressey, 1953) dan fraud diamond (Wolf and Hermanson,2004). Populasi penelitian ini adalah perusahaan yang tergabung dalam Indeks JII (Jakarta Islamic Index) pada tahun 2014-2017. Teknik pengambilan sampel dengan menggunakan metode purposive sampling. Metode analisis data yang digunakan dalam penelitian ini adalah analisis regresi linear berganda. Financial statement fraud dalam penelitian menggunakan perspektif F-Score Model. Hasil penelitian ini adalah pressure (Financial Stability, dan Financial Target), dan Opportunity (Nature of Industry) berpengaruh terhadap financial statement fraud. Sedangkan Pressure (External Pressure dan Personal Financial  Need), Rationalization (Change in Auditor), Competence (Change of Director) dan Arrogance (Frequent Number of CEO’s Picture dan Dualism Position) tidak berpengaruh terhadap financial statemnt fraud.

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