Fraud Hexagon dalam Mendeteksi Financial Statement Fraud Perusahaan Perbankan di Indonesia

Abstract

Cases of fraud are increasing from year to year and the costliest type of fraud is financial statement fraud which causes substantial losses for the company and users of financial statement. The aim of this research is to analyze fraud hexagon on detecting financial statement fraud of banking companies listed in Indonesia Stock Exchange for the period 2015-2019. The research population is 46 banking companies listed in Indonesia Stock Exchange. Purposive sampling method is used on this research. The sample chosen with matching criteria is 41 companies with a total observation of 205. Logistic regression method is used to analyze data and data processing was performed with IBM SPSS 26. The research results indicated that the financial target, external pressure, ineffective monitoring, change in auditor, change in director, and frequent number of CEO's picture do not have an effect in detecting financial statement fraud on listed banking companies. Meanwhile, collusion has an effect in detecting financial statement fraud on listed banking companies.