scholarly journals PENERAPAN MODEL Z-SCORE UNTUK PREDIKSI KEBANGKRUTAN BANK BRI SYARIAH TAHUN 2014-2016

2018 ◽  
Vol 16 (1) ◽  
pp. 81-97
Author(s):  
Muhlis Muhlis
Keyword(s):  
Financial Statements ◽  
Debt Ratio ◽  
Z Score ◽  
Bank Management ◽  
Financial Difficulties ◽  
Score Model

Abstract: The application of the z-score model is done to find out the early condition possible to avoid the failure of bank management when experiencing financial difficulties that will trigger potential bankruptcy if the score category is below 2.99. The method used is the Altman Z-Score model by analyzing the financial statements of PT Bank BRI Syariah from 2014-2016. Based on the results of the research conducted, the z-score in 2014 was 5.13 and 6.24 in 2015, while in 2016 it was 5.24. Altman's score results indicate that the company is free from potential bankruptcy. The debt ratio has a guarantee of very good assets. Equity is ideal in fulfilling obligations Abstrak: Penerapan model z-score ini dilakukan untuk mengetahui kondisi sedini mungkin menghindari kegagalan manajemen bank bila mengalami kesulitan keuangan yang akan memicu potensi kebangkrutan bila kategori skornya dibawah 2,99. Metode yang digunakan adalah model Altman Z-Score dengan menganalisis laporan keuangan PT Bank BRI Syariah dari tahun 2014-2016. Berdasarkan hasil penelitian yang dilakukan, nilai z-score tahun 2014 yaitu 5,13 dan 6,24 pada tahun 2015, sedangkan pada tahun 2016 yaitu 5,24. Hasil score Altman ini menunjukkan bahwa perusahaan bebas dari potensi kebangkrutan. Rasio utang mempunyai jaminan aktiva sangat bagus. Ekuitasnya sangat ideal dalam memenuhi kewajiban

scholarly journals Is it Worth Comparing Different Bankruptcy Models?

2015 ◽  
Vol 63 (2) ◽  
pp. 525-531 ◽  
Author(s):  
Miroslava Dolejšová
Keyword(s):  
Financial Performance ◽  
Financial Statements ◽  
T Test ◽  
Small Enterprises ◽  
Z Score ◽  
Statistical Data Analysis ◽  
Financial Condition ◽  
Score Model ◽  
The One ◽  
Paired T Test

The aim of this paper is to compare the performance of small enterprises in the Zlín and Olomouc Regions. These enterprises were assessed using the Altman Z-Score model, the IN05 model, the Zmijewski model and the Springate model. The batch selected for this analysis included 16 enterprises from the Zlín Region and 16 enterprises from the Olomouc Region. Financial statements subjected to the analysis are from 2006 and 2010. The statistical data analysis was performed using the one-sample z-test for proportions and the paired t-test. The outcomes of the evaluation run using the Altman Z-Score model, the IN05 model and the Springate model revealed the enterprises to be financially sound, but the Zmijewski model identified them as being insolvent. The one-sample z-test for proportions confirmed that at least 80% of these enterprises show a sound financial condition. A comparison of all models has emphasized the substantial difference produced by the Zmijewski model. The paired t-test showed that the financial performance of small enterprises had remained the same during the years involved. It is recommended that small enterprises assess their financial performance using two different bankruptcy models. They may wish to combine the Zmijewski model with any bankruptcy model (the Altman Z-Score model, the IN05 model or the Springate model) to ensure a proper method of analysis.

scholarly journals ANALISIS PREDIKSI KEBANGKRUTAN MENGGUNAKAN MODEL ALTMAN Z-SCORE PADA PERUSAHAAN RITEL YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2014-2018

2021 ◽  
Vol 9 (1) ◽  
pp. 84
Author(s):  
Rosmayana Rusman
Keyword(s):  
Sampling Technique ◽  
Financial Statements ◽  
Critical Issue ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Financial Condition ◽  
Dangerous Zone ◽  
Score Model ◽  
Retail Organizations ◽  
High Degree

Bankruptcy is a critical issue that companies must be aware of. Bankruptcy and the level of the company's performance can be seen from the company's financial condition by analyzing the company's financial statements. The most widely used bankruptcy prediction model is the Altman Z-Score model..The Altman Z-Score model analysis was chosen as the model used in bankruptcy prediction because, this model is easy to use with a high degree of accuracy. The purpose of this research is to determine bankruptcy predictions using the Altman Z-Score model in retail companies listed on the IDX in 2014-2018. This kind of exploration is expressive quantitative utilizing monetary reports as an examination instrument. The examining method was,carried out by utilizing purposive sampling,technique which was then controlled by nine retail organizations as the sample. The results show that on average six companies are in a safe zone, including issuers ECII, HERO, MPPA, RANC, SKYB, SONA and two companies in the gray zone or prone to bankruptcy, namely CENT and KOIN, one company in the dangerous zone, namely RIMO

scholarly journals Analysis of Accuracy Level of Altman Z-Score Model and Springate Model in Measuring the Potential of Financial Distress in Plantations Industries

2019 ◽  
pp. 16-25
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Secondary Data ◽  
Financial Data ◽  
Z Score ◽  
Financial Difficulties ◽  
Accuracy Level ◽  
Score Model

This study aimed to analyze the level of bankruptcy using Altman Z-Score model of modifications and models Springate, the Plantations Company period 2014-2017. The data used in this research is secondary data, financial data Plantations Company taken from the site www.idx.co.id. Based on the results of this study show that the model of the Altman Z-Score modification Plantations Industries was having financial difficulties which would be potentially bankrupt, it can be seen from the Z-Score of less than 1.1 in the period 2014-2017 and no different from using a model that generates value Springate S-Score <0.862 means that the financial performance Plantations company are experiencing financial difficulties during the 2014-2017 period and potentially going bankrupt.

scholarly journals Analisis Potensi Kebangkrutan: Perbandingan Model Altman dengan Zavgren

PERSPEKTIF ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 447-452
Author(s):  
Wardayani Wardayani ◽  
Azhar Maksum
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Identification Problem ◽  
Bankruptcy Prediction ◽  
Logit Analysis ◽  
Z Score ◽  
Gray Area ◽  
Financial Difficulties ◽  
Score Model ◽  
Analysis Models

This study is aimed to compare two methods to determine the potential for bankruptcy of the company. The method used is the Altman (Z Score) and Zavgren (Logit Analysis) models. The Z Score model is a method to predict the financial difficulties, where the score value on the Altman Z Score classifies whether a company being bankrupt or not. Zavgren developed bankruptcy prediction model with Logit Analysis which divide bankruptcy classifications. The identification problem in this research are the decline in profits occurred from the end of 2016 until 2018, and the mismatch of the increase in profits to the increase the number of assets in the Cosmetics Company, through the use of secondary data from the Indonesia Stock Exchange of companies with code MRAT, KINO, TCID, dan MBTO. Thus, the financial state of cosmetics companies listed on the Indonesia Stock Exchange (BEI) during the 2016 to2018, according to the Altman Z Score model can be categorized into 2 criteria, they are: Gray Area; MBTO and Sound Area: MRAT, KINO and TCID. Meanwhile, based on the Zavgren model, MRAT, KINO, TCID and MBTO were declared as Sound.

scholarly journals Using Beneish M-Score and Altman Z-Score models to detect financial fraud and company failure

2021 ◽  
Vol 69 (4) ◽  
pp. 20-29
Author(s):  
Snežana Knežević ◽  
Marko Špiler ◽  
Marko Milašinović ◽  
Aleksandra Mitrović ◽  
Stefan Milojević ◽  
...  
Keyword(s):  
Financial Reporting ◽  
Financial Distress ◽  
Stock Exchange ◽  
Financial Statements ◽  
Z Score ◽  
Fraudulent Financial Reporting ◽  
Financial Decisions ◽  
Score Model ◽  
A Company

Bankruptcy is a risk that any company can face, regardless of its size. The importance of predicting a company's bankruptcy for years before its development is enormous, and it is important for financial sustainability. Financial reporting is an important platform for making financial decisions of investors and creditors. In recent years, the frequency of false financial reporting by firms has increased and there are concerns about investors' confidence in capital market. Academics and industry experts adopt a variety of risk management techniques to detect fraudulent financial reporting. A case study was applied in this paper. Based on publicly available financial data (disclosed financial statements) of a domestic textile company for the period 2017-2020, whose shares are listed on the stock exchange, a survey was conducted based on the application of Altman's Z-Score model and Beneish M-Score model. Financial distress is an important criterion to monitor when assessing the likelihood of fraud reporting. When a company is operating poorly, there is a greater motivation to engage in fraudulent financial reporting. The findings show that the results differ according to the applied method in terms of identifying the possibility of bankruptcy and the possibility of fraud in the financial statements of the observed company. The results of the study can be important to investors, auditors, regulators, bankers, tax and other government bodies.

scholarly journals Analisis Potensi Kebangkrutan PT. Berlian Laju Tanker, Tbk. dengan Menggunakan Altman’s Z Score

2012 ◽  
Vol 3 (2) ◽  
pp. 654
Author(s):  
Iswandi Iswandi
Keyword(s):  
Financial Markets ◽  
Financial Institutions ◽  
Stock Exchange ◽  
Financial Statements ◽  
Financial Statement ◽  
Z Score ◽  
Transportation Services ◽  
Financial Condition ◽  
Score Model ◽  
A Company

PT. Berlian Laju Tanker, Tbk. (BLTA) is a company engaged in the ocean transportation services listed on the Indonesia Stock Exchange and the Singapore Stock Exchange. In 2009 and 2010 BLTA experienced a net loss. At the end of 2011 the company rocked the financial markets in Indonesia and Singapore being unable to meet financial obligations to financial institutions and corporate bondholders. Given such conditions until the end of August 2012 BLTA can not submit audited financial statement of year 2011 to the authorities of stock exchange and public. By using the 2007 to 2010 audited financial statements and June 2011 inhouse financial statement were analyzed using Altman's Z score model can be known that since 2007 BLTA produce a Z score were classified bankruptcy. Investors should analyze the financial condition by using Z Score in order to minimized shareholders and bondholders potential losses.

scholarly journals PERFORMANCE BANK BNI SYARIAH DI MASA PANDEMI COVID-19

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Dwi Nur'aini Ihsan ◽  
Muhamad Nadratuzzaman Hosen
Keyword(s):  
Potential Risk ◽  
Cost Efficiency ◽  
Secondary Data ◽  
Islamic Banks ◽  
Z Score ◽  
Bank Efficiency ◽  
Bank Management ◽  
Net Profit ◽  
Financial Soundness ◽  
Score Model

The performance of Islamic banks during the Covid-19 pandemic has had an impact on the financial soundness of Islamic Banks. Islamic Banks in Indonesia should restructure the Financing (PYD) which results in the acquisition of revenue and net profit received by the bank. The aims of this study are to analyze the soundness of Bank BNI Syariah using the CAMEL, RGEC method, the level of cost efficiency and profitability. Then also measured the potential for BNIS bankruptcy with the Altman Z-Score model. The potential risk of bankruptcy in Islamic Banks is very possible if bank management during the Covid-19 pandemic are not carried out properly and professionally. Secondary data is used during the period 2015 to 2020 to analyze the performance of Islamic Banks before the pandemic and during the pandemic. The results of the CAMEL and RGEC analysis show that soundness conditions varied from "Not Very Good" to "Very Good" from 2015 to 2020. In 2020 the soundness condition of BNIS is "Fairly Good". Meanwhile, the Altman Z-Score shows that BNIS is experiencing a “Not Bankrupt” condition, the level of bank efficiency is “High” and at analysis of profitability as reflected by the ROA ratio, ROE during the pandemic has decreased.

scholarly journals Aplikasi Data Mining Pada Analisis Financial Distress Model Altman z-score Untuk Memprediksi Potensi Kebrangkutan Pada Industri Properti Go-Public Di Indonesia

Jurnal INFORM ◽  
2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Billy Montolalu
Keyword(s):  
Financial Distress ◽  
Financial Management ◽  
Financial Statements ◽  
Gray Zone ◽  
Z Score ◽  
Financial Ratio ◽  
Financial Report ◽  
Industrial Operations ◽  
Report Data ◽  
Score Model

Early thought systems are needed in companies to overcome financial difficulties that can challenge industrial operations. Altman Z Score is one model that can be used to predict financial distress in a company by analyzing the company's financial statements. This research was conducted to analyze financial distress in property companies going public using the Altman Z Score model. In this model there are 5 financial ratio indicators that are used to predict financial distress. The financial report data used is the financial statements for 2015-2016 and there are 23 companies. The results of these calculations are then clustered with Fuzzy C-Means in two, namely safe zone and gray zone. Cluster validation testing uses the Silhouetee Index with a validation value of 0.9541 which indicates that the cluster process is valid. The results of this study indicate that there is one company that is included in the cluster gray zone, namely Intiland Development Tbk. Analysis of financial ratios found that the most influential is the variable X3 where the results of profits before tax are very small can affect payment of obligations. So it's easy to bring up financial distress conditions. And for those companies that have been in the gray zone condition, they are expected to be careful in financial management to anticipate financial distress.

scholarly journals IDENTIFIKASI KEBANGKRUTAN DI PERUSAHAAN FARMASI : MODEL ALTMAN Z-SCORE ANALYSIS (Studi Pada Perusahaan Farmasi Yang Terdaftar Di Bursa Efek Indonesia Periode 2012-2016)

2018 ◽  
Vol 7 (4) ◽  
Author(s):  
Totok Haryanto
Keyword(s):  
Pharmaceutical Company ◽  
Asset Management ◽  
Policy Making ◽  
Stock Exchange ◽  
Financial Statements ◽  
Pharmaceutical Companies ◽  
Z Score ◽  
Corporate Policy ◽  
Score Analysis ◽  
Score Model

Every company has different problems of each type, including in the categorization of whether the company is categorized to be bankrupt or not. This study was conducted to study and detect the possibility of bankruptcy of pharmaceutical companies in Indonesia using the Altman Z-Score model. The sample used in this study is a pharmaceutical company listed on the Indonesia Stock Exchange (BEI) and the company publishes regular financial statements in 2012 until 2016. In the Altman Z-Score model, grouping companies into three categories ie not bankrupt, prone to bankruptcy, and bankruptcy. For companies that fall into the category of bankruptcy, should be more careful in asset management and corporate policy making and strive to continue to improve the company's performance and try to utilize assets owned more effectively and efficiently, so that will gain a more optimal advantage. While for companies that are in a healthy condition must still maintain and improve the performance of the company, so it will be sustinable and minimize the occurrence of bankruptcy.Setiap perusahaan memiliki permasalahan yang berbeda dari setiap jenisnya, termasuk dalam pengkategorian apakah perusahaan tersebut dikatakan bangkrut ataukah tidak. Penelitian ini dilakukan untuk mempelajari dan mendeteksi kemungkinan terjadinya kebangkrutan perusahaan farmasi yang ada di Indonesia dengan menggunakan hitungan model Altman Z-Score. Sampel yang digunakan dalam penelitian ini adalah perusahaan farmasi yang terdaftar di Bursa Efek Indonesia (BEI) dan perusahaan tersebut menerbitkan laporan keuangan secara teratur pada tahun 2012 sampai dengan tahun 2016. Dalam model Altman Z-Score, mengelompokkan perusahaan menjadi tiga kategori yaitu tidak bangkrut, rawan bangkrut, dan bangkrut. Bagi perusahaan yang termasuk dalam kategori rawan bangkrut,Jurnal Magister Manajemen Unram Vol. 7, No 4. November 2018jmm.unram.ac.id 2harus lebih berhati–hati dalam pengelolaan aset dan melakukan pengambilan kebijakan perusahaan serta berusaha untuk terus meningkatkan kinerja perusahaan dan berusaha memanfaatkan aset yang dimilikinya dengan lebih efektif dan efisien, sehingga akan memperoleh keuntungan yang lebih optimal. Sedangkan bagi perusahaan yang berada dalam kondisi sehat harus tetap mempertahankan dan meningkatkan kinerja perusahaannya termasuk melakukan inovasi dan pengembangan bisnisnya, sehingga akan tetap terjaga keberlangsungannya dan memperkecil kemungkinan terjadinya kebangkrutan.Keywords :altman z-score, pharmaceutical company, bankruptcy, sustainableKata kunci :Altman z-score, perusahaan farmasi, kebangkrutan, keberlangsungan

scholarly journals MENILAI KESEHATAN KEUANGAN MITRA DALAM ANALISIS KELAYAKAN PEMBERIAN MODAL MENGGUNAKAN METODE Z-SCORE

2021 ◽  
Vol 7 (2) ◽  
pp. 245-254
Author(s):  
Aries Maesya ◽  
Evi Sopiani
Keyword(s):  
Financial Statements ◽  
Financial Health ◽  
Z Score ◽  
Gray Area ◽  
A Value ◽  
Financial Soundness ◽  
Score Method ◽  
Score Model ◽  
The Right ◽  
The Relationship

ABSTRAKTujuan penelitian ini adalah menilai kesehatan keuangan mitra menggunakan metode Z-Score untuk memprediksi kesehatan keuangan mitra atau calon debitur. Subjek penelitian ini di tiga mitra atau nasabah dari PT Mitra Bisnis Keluarga Ventura dari sektor manufaktur dan perdagangan. Penelitian ini adalah penelitian kualitatif deskriptif. Metode analisis data menggunakan model Altman Z-Score dengan menganalisis laporan keuangan nasabah PT Mitra Bisnis Keluarga Ventura dari tiga periode atau lebih. Berdasarkan hasil penelitian yang dilakukan, Data Mitra A dikategorikan sehat dengan Z-Score 3,80, Data Mitra B dikatakan tidak sehat dengan nilai 0,52 dan Data Mitra C dikatakan Grey Area karena memiliki angka di bawah 2,60, yaitu 2,33. Hasil penelitian ini mengimplikasikan bahwa Keterkaitan antara Metode Z-Score dengan hasil keputusan tingkat kesehatan keuangan cukup membantu dalam menganalisis laporan keuangan dan dapat menghasilkan keputusan yang tepat dalam menilai kesehatan keuangan mitra. ABSTRACTThe purpose of this study is to assess the financial health of partners using the Z-Score method to predict the financial health of partners or prospective debtors. The subjects of this study were three partners  of PT Mitra Bisnis Keluarga Ventura from the manufacturing and trading sectors. This research is a descriptive qualitative research. The data analysis method uses the Altman Z-Score model by analyzing the financial statements of PT Mitra Bisnis Keluarga Ventura customers from three or more periods. Based on the results of the research conducted, Partner A's data is categorized as healthy with a Z-Score of 3.80, Mitra B's data is said to be unhealthy with a value of 0.52 and Partner C's data is said to be gray area because it has a number below 2.60, which is 2.33. The results of this study imply that the relationship between the Z-Score method and the results of financial soundness decisions is quite helpful in analyzing financial statements and can produce the right decisions in assessing the financial health of partners.

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