Uki Masduki, Adi Rizfal Efriadi, Ermalina Ermalina
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引用次数: 2
摘要
本研究的目的是测试用于预测公司破产的模型或分析工具的能力,即Altman的Z-afternoon模型和BPR Multi Artha Sejahtera的Springate模型,该公司的执照已被金融服务管理局(OJK)通过第16 / kjk .03 / 2016号专员法令吊销,公司考虑恶化。使用的数据为二手数据,即从印度尼西亚银行报告中获得的2012-2015 BPR Multi Artha Sejahtera财务报告数据。然后使用Altman Z-score (Z-score)和Springate (S-Score)公式分析数据,以检测在BPR Multi Artha Sejahtera实际宣布破产之前是否存在破产迹象。研究结果表明,总体而言,Z-core和S-Score均能预测2011 - 2015年BPR Multi Artha Sejahtera的破产率。在BPR Multi Artha Sejahtera破产案例中,使用S-Score预测破产在预测破产中更为合适。
Kemampuan Model Z- Score dan Model Springate Dalam Memprediksi Financial Distress BPR Multi Artha Sejahtera
The purpose of this study was to test the ability of the model or analytical tool used to predict the bankruptcy of the company, namely the Altman's Z-afternoon model and the Springate model of BPR Multi Artha Sejahtera whose license has been revoked by the Financial Services Authority (OJK) through Commissioner Decree Number 16 / KDK.03 / 2016 with company considerations deteriorating. The data used is secondary data, namely the 2012-2015 BPR Multi Artha Sejahtera financial report data obtained from Bank Indonesia reports. The data is then analyzed using the Altman Z-score (Z-Score) and Springate (S-Score) formulas to detect whether or not there are indications of bankruptcy before BPR Multi Artha Sejahtera is actually declared bankrupt. The results of this study concluded that overall, both Z-core and S-Score were able to predict the bankruptcy rate of BPR Multi Artha Sejahtera during 2011 - 2015. In the case of BPR Multi Artha Sejahtera bankruptcy the use of S-Score to predict bankruptcy is more appropriate in predicting bankruptcy.