PENGGUNAAN BENEISH M-SCORE MODEL UNTUK MELAKUKAN DETEKSI FRAUD LAPORAN KEUANGAN PADA KLASIFIKASI INDUSTRI AGRIKULTUR DI BURSA EFEK INDONESIA

Abstract

This research is conducted to detect fraudulent financial statement on companies  in  agriculture industrial classification at Indonesia  Stock  Exchange by using Beneish M-Score Model which  has  been  tested  its  reliability  in  many  researches at various countries. The research uses purposive  sampling  technique  to  determine  the samples. Based on the sample criterias, obtained 14 companies as samples in 2012-2016 range periods. This research provides empirical evidence that there is a fraudulent financial statement, about 40%, in Indonesia Stock Exchange listed companies, especially in agricuture industrial classification. Detection of fraud can be further explained by the high average index values on the Days’ Sales in Receivables Index (DSRI). Each of Beneish M-Score Indexes Ratio is also reliable to detec