Analisis Beneish M-SCORE, untuk Mendeteksi, Financial Statement, Fraud Pada, PT. Garuda, I. Periode, Dedi Julianto, Ana Yuliana, Aminullah La Bangge
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引用次数: 1
Abstract
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
本研究旨在检测印尼鹰航2017-2019年度财务报表舞弊,采用Beneish M Score模型,检验Beneish M Score模型是否可以检测印尼鹰航2018年度财务报表舞弊的发生。本研究结果表明,印尼鹰航在2017年和2018年被归类为操纵或不操纵财务报表的灰色标准,并在2019年被归类为不操纵财务报表的标准。本研究的结果还发现,Beneish M Score模型不能准确地检测到印尼鹰航2018年的财务报表操纵,因为只有两个比率是毛利率指数(GMI)和应收账款日销售额指数(DSRI),这两个比率可以检测到财务报表的操纵,因此它们只被分类在灰色地带标准中