scholarly journals PREDIKSI KEBANGKRUTAN PADA BANK BUMN YANG TERDAFTAR DI BURSA EFEK INDONESIA

NIAGAWAN ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 130
Author(s):  
Muhammad Salman ◽  
Catur Wulandari
Keyword(s):  
Data Analysis ◽  
Prediction Model ◽  
Financial Distress ◽  
Z Score ◽  
Analysis Method ◽  
Gray Area ◽  
Data Analysis Method ◽  
State Owned Enterprise ◽  
Score Model

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 

scholarly journals Analisis Penilaian Financial Distress Dengan Menggunakan Model Altman Z-Score Dan Model Springate Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Periode Tahun 2015-2019

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Febriana Anindyka ◽  
Makhmud Zulkifli
Keyword(s):  
Data Analysis ◽  
Financial Distress ◽  
Descriptive Statistics ◽  
Z Score ◽  
Financial Condition ◽  
Similarities And Differences ◽  
The Difference ◽  
Score Model ◽  
A Company ◽  
Data Analysis Methods

The aim of this research to analyze financial distress of Manufature Company by using Altman Z-Score and Springate Models. Moreover, this research aimed to know aims to determine the similarities and differences in the results of the analysis of financial distress assessment using the Altman Z-Score model and the Springate Model. This research used Descriptive statistics and data analysis methods used  in this research were Altman Z-Score and Springate Model. To the finding on the research, it showed that (1) ) After evaluating the Altman Z-Score and Springate models, there are fifty companies that fall into different conditions. (2) The similarities and differences in the results of the Atman Z-Score model and the Springate model are the results of the two models that can be seen from having almost the same variable components and the difference is that the results of the financial distress assessment using the Altman Z-score model and the Springate model show that both These models have different criteria in determining the financial condition of a company.

scholarly journals Stock Prices Predicted by Bankruptcy Condition?

2018 ◽  
Vol 9 (2) ◽  
pp. 105-114
Author(s):  
Irawati Junaeni
Keyword(s):  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Sampling Method ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Analysis Method ◽  
Simple Regression Analysis ◽  
Score Model

This research had two objectives. First, it determined the prediction of the method of Altman Z-Score whether it could classify banking positions, bankruptcy, or financial distress in the go-public bank in Indonesia Stock Exchange. Second, it was to know the influence of value position of Altman Z-Score on the stock price. The population was 84 banking company listed on the Indonesia Stock Exchange in 2010-2015. The sampling method was purposive sampling. Moreover, data analysis method used was a simple regression analysis. For data processing, it used software Eviews 8. The Z-Score calculations predict the potential bankruptcy of go-public bank in 2010-2015. All results show that Z-Score has the small score of 1,81. It can be said there is a potential bankruptcy. For t-test, it can be concluded that Z-Score has the positive and significant effect on the stock price. The ability of Z-Score values in explaining the stock price is 95,50% while the remaining 4,50% is influenced by other variables that are not analyzed in the research. With some weaknesses of Altman’s Z-Score model, this research has the implication for management bank. It improves the financial performance for the future to avoid opportunity bankruptcy prediction. The results show how the effect of bankruptcy on banking stock prices.

scholarly journals PENERAPAN MODEL ALTMAN Z-SCORE DALAM MENGUKUR POTENSI KEBANGKRUTAN (STUDI KASUS PADA PERUSAHAAN PERBANKAN BUMN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2018 & 2019)

2021 ◽  
Vol 7 (1) ◽  
pp. 148-158
Author(s):  
Rofinus Leki Rofinus Leki
Keyword(s):  
Financial Performance ◽  
Performance Improvement ◽  
Financial Distress ◽  
Safe Zone ◽  
The Other ◽  
Financial Health ◽  
Z Score ◽  
Gray Area ◽  
Sustainability Research ◽  
Score Model

Abstract: This   research   is   a   sustainability   research,   which   uses   the   same   non- manufacturing Altman Z-Score model, with the aim of re-examining the financial health sustainability of the four BUMN banks that the author has studied in 2017 and in 2019. The four BUMN banks are Bank Negara Indonesia (Persero) Tbk PT, Bank Rakyat Indonesia (Persero) Tbk. PT, Bank Tabungan Negara (Persero) Tbk PT,  Bank  Mandiri  (Persero)  Tbk  PT.  The  results  showed  that  PT.  Bank  BTN (Persero) Tbk has a Z-score that has improved in 2018 and 2019, compared to previous years, namely in 2014, 2015, 2016, and 2017. Currently PT. Bank BTN (Persero) Tbk., has moved from the potential financial distress into a "gray area" (improving). Meanwhile, the other three BUMN banks are consistently in the gray area category with a Z-score above 1.2 but below a Z-score of 2.9. The results of this study also show that there is a significant financial performance improvement in every BUMN banking company, but has decreased somewhat in 2019  at Bank BNI (Persero), Tbk. PT and Bank BRI (Persero) Tbk.PT. Be expected is   that   with   the   continuous   and   consistent   improvement   in   financial performance, the financial health position of BUMN Banking (Persero) Tbk can immediately move to the "safe zone".   Keywords: Financial Health of BUMN Banks, Altman Z-Score Model

scholarly journals PREDIKSI FINANCIAL DISTRESS PADA PT. BANK RAKYAT INDONESIA (Persero) TBK. SEBELUM DAN SEMASA PANDEMI COVID-19

2021 ◽  
Vol 6 (1) ◽  
pp. 20-25
Author(s):  
Didi Rahmat
Keyword(s):  
Data Analysis ◽  
Financial Performance ◽  
Financial Distress ◽  
Market Value ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Gray Area ◽  
Normal Period ◽  
Retained Earnings

This study aims to see how the financial performance of PT. Bank Rakyat Indonesia (Persero) Tbk. studied from the Financial Distress approach. The data taken is from the period 2017 to 2019 (normal period) and 2020 (the period of the Covid-19 pandemic in Indonesia). Altman Z Score is used as an approach in data analysis by using five indicators, Working capital to total assets (WCTA), Retained earnings to total assets (RETA), Earnings before interest and taxes to total assets (EBITTA), Market Value of equity / Book value of debt (MVEBVD) and Sales / total assets (SATA). From the results of data analysis, it was found that before the Covid-19 pandemic the company was classified as healthy. Changes occurred during the Pandemic the company was in the Gray Area which meant there were financial problems.

scholarly journals Analisis Perbandingan Model Kesulitan Keuangan Studi Pada Bank Bukopin Tbk

2021 ◽  
Vol 31 (6) ◽  
pp. 1541
Author(s):  
Hisky Ryan Kawulur
Keyword(s):  
Data Analysis ◽  
Predictive Value ◽  
Financial Distress ◽  
Research Method ◽  
Financial Statements ◽  
Z Score ◽  
Comparison Model ◽  
To Come ◽  
Score Model

The purpose of this study is to analyze and compare the predictive value of the Altman z-score model of financial distress with the Zmijewski model. The research method used is descriptive quantitative in explaining the phenomena that occur. This study uses data from Bukopin's financial statements for 2018, 2019 and 2020. Data analysis is carried out by calculating the ratio of each model from 2018, 2019 and 2020, then the results of the criteria from the altman z-score model and the zmijewski model are compared and analyzed according to the criteria. The results showed that both the Altman z-score model and the Zmijewski model gave the same results, namely in the years to come the company has the potential to face bankruptcy. Keywords: Altman Z-Score; Zmijewski; Banking; Comparison Model.

scholarly journals Analisis Financial Distress Dengan Metode ZMIJEWSKI

2019 ◽  
Vol 1 (1) ◽  
pp. 74-87
Author(s):  
Desi Permatasari ◽  
Acep Samsudin ◽  
Kokom Komariah
Keyword(s):  
Data Analysis ◽  
Financial Distress ◽  
Analysis Method ◽  
Financial Report ◽  
Data Analysis Method

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

scholarly journals Financial Distress Analysis Using Altman Z-Score Model In Sharia Banking In Indonesia

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Firman Setiawan
Keyword(s):  
Financial Distress ◽  
Quantitative Data ◽  
Good Condition ◽  
Good Health ◽  
Financial Ratios ◽  
Islamic Banks ◽  
Z Score ◽  
Gray Area ◽  
Financial Failure ◽  
Score Model

This study is conducted to explain the risk of financial failure that may occur in Sharia banking which is known asfinancial distress. Quantitative data in the formof financial ratios fromseveral Islamic banks which are the object of the study were analyzed using Altman Z- score model. After analyzing it, it is known that at Bank BRI Syariah Inc, the company experienced financial distress in 2015, in the following year the company experienced improvementthus in 2016-2019, the company was in good health. Bank BTPN Syariah Inc in 2015-2019 was in a good condition, which means that there was no financial distress or was in a gray area position. Bank Syariah Mandiri Inc experienced financial distress in 2015-2019, which means that during that time the company was in a gray area position

BANK SPÓŁDZIELCZY (COOPERATIVE BANK) AS A GUARANTOR OF THE STABILISATION OF THE LOCAL FINANCIAL SYSTEM1

2019 ◽  
pp. 173-179
Author(s):  
Andrzej Pawlik
Keyword(s):  
Data Analysis ◽  
Banking Sector ◽  
Statistical Data ◽  
Local Development ◽  
Banking System ◽  
Analysis Method ◽  
Statistical Data Analysis ◽  
Data Analysis Method ◽  
Strong Position ◽  
Cooperative Banks

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.

PENGARUH KUALITAS LAYANAN DAN NILAI PELANGGAN TERHADAP KEPUASAN PELANGGAN

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Silviana Fadilla Prasevie
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Customer Value ◽  
Sampling Method ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Central Java ◽  
Data Analysis Method

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

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