scholarly journals Potensi Manipulasi Pendapatan Menggunakan Model Beneish M-Score, Studi Kasus pada Laporan Keuangan PT Garuda Indonesia Tbk., Tahun 2017-2018

2020 ◽  
Vol 5 (1) ◽  
pp. 73
Author(s):  
Budi Nugroho
Keyword(s):  
Reference Value ◽  
Financial Statement ◽  
Research Use ◽  
Score Model

Abstrak:  Penelitian ini menggunakan model Beneish m-score untuk mendeteksi potensi manipulasi pendapatan pada laporan keuangan tahunan PT Garuda Indonesia Tbk periode tahun 2018.  Tujuan penelitian adalah untuk mengungkapkan kemungkinan adanya potensi manipulasi pendapatan pada laporan keuangan PT Garuda Indonesia, Tbk, untuk periode tahun buku 2018.  Berdasarkan hasil pengolahan data, nilai m-score dari laporan keuangan perusahaan adalah -0,49, yang mana lebih besar dari nilai acuan -2,22, sehingga dapat disimpulkan bahwa berdasarkan model ini, terdapat potensi manipulasi pendapatan pada laporan keuangan  PT Garuda Indonesia Tbk., untuk periode tahun buku 2018.  Penggunaan model ini untuk mendeteksi adanya potensi manipulasi pendapatan pada laporan keuangan perusahaan sangat berguna bagi pemegang saham,investor, dan kreditur.   Kata Kunci: Beneish m-score, manipulasi, pendapatan, laporan keuangan.   Abstract: The research use Beneish m-score model to detect potential income manipulation on annual financial statement of PT Garuda Indonesia, for the year 2018. The objective of this research was to uncover potential income manipulation on the financial statement.  Based on data calculation, the m-score value was -0,49, which higher than reference value -2,22, therefore it can be concluded that there was potential income manipulation in PT Garuda Indonesia, for the year 2018. The application of this model in order to detect potential income manipulation in the company financial statement might be useful for shareholders, investors, and creditors.   Keywords: Beneish m-score, manipulation, income, financial statement.

Pengaruh Faktor Demografi Dan Iklim Organisasi Terhadap Niat Whistleblowing Internal

2017 ◽  
Vol 4 (1) ◽  
pp. 12-22
Author(s):  
Priyastiwi Priyastiwi
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Organizational Climate ◽  
Demographic Factors ◽  
Financial Statement ◽  
Research Use ◽  
Analysis Method ◽  
Financial Statement Fraud ◽  
Internal Whistleblowing ◽  
Collection Methods

This study aimed to examine the effect of demographic factors and organizational climate on the intention of internal whistleblowing. The sample was an accountant who had worked as an auditor. Data collection methods using questionnaires with financial statement fraud case scenarios. This research use ANOVA data analysis method to examine demographic factors include age, gender, and experience, as well as organizational climate on the intention of internal whistleblowing. The results showed only the experience of demographic factors that influence internal whistleblowing. Besides internal whistlelowing also influenced by organizational climate in the company.Keyword: Demographics, Organizational Climate, Whistleblowing

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 Validity of Altman Z-Score Model to Predict Financial Failure: Evidence From Jordan

2018 ◽  
Vol 10 (8) ◽  
pp. 181 ◽  
Author(s):  
Sufian Al-Manaseer ◽  
Suleiman Al-Oshaibat
Keyword(s):  
Stock Exchange ◽  
Financial Statement ◽  
Insurance Companies ◽  
Z Score ◽  
Financial Reports ◽  
Financial Failure ◽  
Amman Stock Exchange ◽  
The Face ◽  
The Subject ◽  
Score Model

This paper aims to investigate the Validity of Altman z-score model to predict financial failure in insurance companies listed on Amman Stock Exchange (ASE) over the period 2011-2016. To achieve the goal of the study, the study depended on the different statistics analytical method and Multiple Linear Regression through doing the statistical analysis of the independent variables on the dependent variable related to the subject of the study through the (E-views) program in order to cover the analytical part of the study, in addition to the descriptive method through relying on books, periodicals, previous studies and financial reports of the insurance companies of the study’ sample, whether the direct or the indirect ones, to cover the theoretical part. The result of the study finds a high predictive power for Z-score model. Moreover, the findings reveal that Z-Score model could be valuable instrumental indicators for many users of financial statement such as financial managers, auditors, lenders, investors, to make right decisions in the face of financial failure.

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.

scholarly journals Kualitas Publikasi Laporan Keuangan Perguruan Tinggi Swasta Terhadap Kepatuhan Kewajiban Pajak Penghasilan Badan

Wahana ◽  
2021 ◽  
Vol 24 (1) ◽  
pp. 12-32
Author(s):  
Suwardi Suwardi
Keyword(s):  
Private Universities ◽  
Financial Statements ◽  
Financial Statement ◽  
Educational Institutions ◽  
Research Use ◽  
Literature Study ◽  
Non Profit ◽  
The Government ◽  
Data Collection Technique

Private Universities that were established by society through nonprofit institution have autonomy in managing their finances. Autonomy gives rise to the diversity of Private Universities’ financial statement. The government provides a tax exemption facility for the remnant of nonprofit institutions engaged in education with certain conditions, regulated by PMK 80/PMK.03/2009. This research was conducted to analyze the effect of the quality of the financial statements of Private Universities  on the execution of the tax exemption facility. Research was conducted by literature study method. The result of the research shows that the quality of the Private Universities’ financial statements  affect the execution of PMK 80/PMK.03/2009. Therefore, financial statements standardization and remnant recording regulation for Private Universities is needed, in order to optimizing the execution of the tax exemption facility given to educational institutions and to make sure the facility is given appropriately. The data collection technique used is literature study. This research use qualitative methods  in analyzing data and facts about private universities’ management and the taxation policies of non-profit organizations.

scholarly journals Internal Control Analysis towards the Accounts Receivable Accounting System at STIAMI Institute

2019 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Iin Andrayanti
Keyword(s):  
Internal Control ◽  
Analytical Methods ◽  
Audit Committee ◽  
Financial Statement ◽  
Research Use ◽  
Control Analysis ◽  
Accounting System ◽  
Accounts Receivable ◽  
Online System ◽  
Basic Concepts

This research aims to reveal how internal control of the accounts receivable system, obstacles faced on the internal control applied, and the endeavors made to reduce it at STIAMI Institute. This research use descriptive-analytical methods to determine the implementation of internal control and account receivable system. Based on the result of the research, internal control towards the account receivable accounting system implemented on STIAMI is quite efficient, indicated by the independence of the audit committee or the internal supervisory unit (ISU) in which are right under the head of STIAMI auspices. In addition, STIAMI's management has applied basic concepts and principles of internal control. In STIAMI internal control activities, it is better to enforce the functions and centralization of the online system so that the operations and financial statement presentation can run effectively and efficiently.

scholarly journals Does Model Reflect on Reality? Exploring Beneish M Score on Selected Private Commercial Banks in Nepal

2021 ◽  
Vol 14 (1) ◽  
pp. 18-28
Author(s):  
Santosh Gyawali
Keyword(s):  
Commercial Banks ◽  
Balance Sheet ◽  
Threshold Value ◽  
Financial Statement ◽  
Secondary Source ◽  
Manufacturing Companies ◽  
Stock Market Return ◽  
Income Statement ◽  
Score Model ◽  
The Given

This research explores if possible fraudulent financial statement is present in private commercial banks in Nepal. This study examines the viability of Beneish M-score model in detecting probable earning manipulation considering the sample of 16 private commercial banks including the joint ventures. The published annual report (income statement and balance sheet) of the year 2018 and 2019 of respective banks are used as a secondary source of information. This research employs Beneish M-score equation and threshold value -2.22 as keys to analysis. The result shows even four banks are engaging in income manipulation, the Beneish model cannot identify the deception on the financial statement. Though the given model is suggested for manufacturing companies, the researcher has used it to explore the Banks—this is the limitation of this research. Further investigation of these tools combined with other fraud detection models is suggested to discover financial manipulation and relationship with the stock market return.

scholarly journals Using the Beneish M-score model: Evidence from non-financial companies listed on the Warsaw Stock Exchange

2020 ◽  
Vol 17 (4) ◽  
pp. 389-401
Author(s):  
Artur Hołda
Keyword(s):  
Factor Model ◽  
Stock Exchange ◽  
Financial Statements ◽  
Small Sample ◽  
Financial Information ◽  
Financial Statement ◽  
Control Group ◽  
Warsaw Stock Exchange ◽  
History Of ◽  
Score Model

The risk of distortion of financial statements has been growing. Following the 2008 crisis, recipients of financial information are increasingly focusing on the likelihood of financial statements being distorted through fraudulent presentation of financial information. Therefore, scientific research pays more attention to models capable of detecting financial statement manipulation.The paper aims to present the principles of functioning and the possibility of using the Beneish M-score model in Polish realities. It analyzes the history of more than 30 companies listed on the Warsaw Stock Exchange to select those whose history indicates that they can be classified as manipulators, and to select the same number of companies from the control group that are considered as non-manipulators.The research method involves the analysis of empirical data on companies listed on the Warsaw Stock Exchange. The analysis showed the 8-factor Beneish model identified manipulators with 100% accuracy and succeeded in identifying non-manipulators. The effectiveness of the 5-factor model was much lower. To serve the purpose of the study, the effectiveness of the Beneish model was tested on a small sample of Polish listed companies as an introduction to a planned larger scale research. The results obtained are consistent with the results of numerous studies by authors from various countries and confirm the effectiveness of the Beneish model in detecting financial statement manipulation. AcknowledgmentThe publication is sponsored by funds from the Cracow University of Economics for the maintenance and development of research potential.

scholarly journals PENGARUH LIKUIDITAS, PROFITABILITAS DAN UKURAN PERUSAHAAN TERHADAP PERINGKAT OBLIGASI PADA INDUSTRI PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

2018 ◽  
Vol 1 (3) ◽  
pp. 289
Author(s):  
Siti Hailatul Fikriyah
Keyword(s):  
Capital Market ◽  
Descriptive Analysis ◽  
Financial Statement ◽  
Research Use ◽  
Link Function ◽  
Variable Size ◽  
Important Indicator ◽  
Bond Rating ◽  
Credit Quality ◽  
Know How

Bond rating is one of the most important indicator about a company’s credit quality. The objective of this research is to know how the liquidity, profitability,and size could influence to the bonds rating. This research use listed on Bursa Efek Indonesia. The samples of this research consist of 15 banks are listed in PT Pefindo from 2009-2012. Research method that used is descriptive analysis, with searching data through library, Financial statement from Bursa Efek Indonesia, and ICMD (Indonesian Capital Market Directory). The techniques of the test of the data be processed by using SPSS (Statistical Product and Service Solution) for windows release 20.00. Multinominal Logistic Regression Analysis with link function was used to the test the hypothesis. Therefore, the conclusion of this research has shown that the variable of liquidity and profitability, not significantly influence the bond rating. Meanwhile variable size significantly influence the bond rating

scholarly journals DETERMINANT OF FRAUD PENTAGON IN DETECTING FINANCE OF FINANCIAL STATEMENTS

2020 ◽  
Vol 4 (1) ◽  
pp. 32-41
Author(s):  
Muhammad Bagus ◽  
Noviansyah Rizal ◽  
Siwidyah Desi Lastianti
Keyword(s):  
Internal Pressure ◽  
Stock Exchange ◽  
Financial Statements ◽  
Financial Statement ◽  
Financial Fraud ◽  
Test Results ◽  
Financial Statement Fraud ◽  
Score Model ◽  
Fraudulent Financial Statements ◽  
Industry Conditions

This study aims to determine the Pentagon Determinant Fraud in detecting fraudulent financial statements. Fraudulent financial statements are proxied by the Fraud Score Model. Whereas the pressure factor is proxied by insisting from within, for the opportunity factor proxied by industry conditions, the rationalization factor is proxied by the ratio of total accruals, the competency factor is proxied by the change of directors and arrogance is proxied by the duality of quality positions at the CEO. The population in this study amounted to 100 companies incorporated in the compass index 100 contained in the Indonesia Stock Exchange and for the sample of the study were 35 companies belonging to the compass index 100 contained in the Indonesia Stock Exchange, which was selected using the purposive sampling method for the 2017-2018 period. Data were analyzed using multiple linear regression. Based on the test results, it was concluded that the pentagon fraud component included internal pressure (LEV), industry conditions (INVENTORY), rationalization (TATA) influencing financial statement fraud while competence (DCHANGE) and arrogance (DCD) had no effect on financial fraud statement. This proves that internal pressure (LEV), industry conditions (INVENTORY), and rationalization (TATA) can be used to detect fraud in financial statements.

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