scholarly journals Analisis Financial Distress Dengan Metode ZMIJEWSKI

2019 ◽  
Vol 1 (1) ◽  
pp. 74-87
Author(s):  
Desi Permatasari ◽  
Acep Samsudin ◽  
Kokom Komariah

This study aims to determine how the zmijewski method can be used in analyzing financial distress at PT. Jaya Konstruksi Manggala Pratama Tbk, PT. Indonesia Pondasi Raya Tbk, and PT. Mitra Pemuda Tbk. The data analysis method used is to use the zmijewski method. The results of the study, PT. Mitra Pemuda Tbk in 2015 obtained an X-Score of -0.6868 so that the company was categorized as healthy or non-distress. In 2016 PT. Mitra Pemuda obtains an X-Score value of -1,5004 and is categorized as non-distress. And in 2017 PT. Mitra Pemuda Tbk obtained the X-Score value of -1.6922 so that it was in the category of healthy or non-distress. Conclusion, PT. Jaya Konstruksi Manggala Pratama Tbk, PT. Indonesia Pondasi Raya Tbk, and PT. Mitra Pemuda Tbk based on the zmijewski method to analyze the company's third financial distress is in a healthy or non-distress condition. Keywords: Financial Distress, Financial Report, Zmijewski Method

NIAGAWAN ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 130
Author(s):  
Muhammad Salman ◽  
Catur Wulandari

The research was conducted with the aim of knowing the prediction of the potential for bankruptcy of the four State-Owned Enterprises (BRI, BNI, Bank Mandiri and BTN) using the Altman Z-Score, Springate and Grover G-Score models. The data analysis method used a prediction model for the occurrence of bankruptcy consisting of the Altman Z-Score, Springate and Grover G-Score. The results showed that the prediction of bankruptcy (financial distress) using the Altman Z Score model was obtained from 2015-2019 for the four State-Owned Enterprise Banks (BRI, BNI, Bank Mandiri and BTN) as a whole obtained Z Score between 1.42-1 88 or at the criteria (cut off) Z <181 has the potential to go bankrupt and 1.81 <Z <2.99 gray area. Meanwhile, based on the Springate model from 2015-2019, the four State-Owned Enterprises (BRI, BNI, Bank Mandiri and BTN) overall obtained a Springate of 1.95 - 44.08 and were in the criteria (cut off) S> 0.862 and can be declared as not potentially bankrupt (healthy). Then based on Grover, it was obtained from 2015-2019 in the four State-Owned Enterprise Banks (BRI, BNI, Bank Mandiri and BTN) as a whole obtained a G Score of 1.71 - 2.15 and were in the criteria of G ≥ 0.01 or no potential bankrupt (healthy). The results showed that the Altman Z Score model has a better value than Springate and Grover because the number of ratios is more so that it can predict bankruptcy better 


Author(s):  
Andrzej Pawlik

Urgency of the research. One of the most essential sources of supporting regional and local development is the banking system. Target setting. The study presented describes cooperative banking, represented by Bank Polskiej Spółdzielczości S.A. and Bank Spółdzielczy w Kielcach. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development. Actual scientific researches and issues analysis. The foundations for the modern cooperative banking sector were laid by cooperative financial organisations functioning more than 150 years ago [Pawlik, 2017, s. 152]. Its history is connected with difficulties faced in the period of partitions, work at the foundations after the end of World War I and Poland’s regaining its national independence. Uninvestigated parts of general matters defining. At present, cooperative banking functions as a result of the adoption by the Sejm of the Republic of Poland on 7 December 2000 of the act on the functioning of cooperative banks, their associations and associating banks, which ensured new legal conditions for the functioning of the sector2. The research objective. The article formulates the hypothesis that nowadays activities of cooperative banks will contribute to regional and local development. The statement of basic materials. One of the most essential sources of supporting regional and local development is the banking system. This system can guarantee the stabilisation of the local financial system. By supporting the development of regional and local entrepreneurship through loans, investment activities of the banks and financial and investment consulting, it will determine the identity of the region concerned. Conclusions. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development.


2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Silviana Fadilla Prasevie

The purpose of this study was to analize the impacts of service quality and customer value on the satisfaction of customers. Questionnaires are used to collect data from Boks Café customer in Bumiayu, Kabupaten Brebes, Central java by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that service quality and customer value positively and significant influenced the satisfaction of customers. The conclution of this study is that customer value was dominant than service quality in influencing the satisfaction of customers


2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Elza Finnora

The aim of this study was to analize the influence of services quality and corporate image on the satisfaction of customers. Primary data was obtained from customers of Standard Chartered Bank through admission filling of questionnaire by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that services quality and corporate image positively and significant influenced the satisfaction of customers. The conclution of this study is that services quality was dominant than corporate image in influencing the satisfaction of customers.


2021 ◽  
Author(s):  
Yu Shao ◽  
Ren-Dong Li ◽  
Yong-Jian Luo ◽  
Min Zhu

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