scholarly journals Analisis Prediksi Kondisi Financial Distress Debitur Pasca Erupsi Gunung Sinabung

2019 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Munawarah Munawarah ◽  
Wenny Anggeresia Ginting
Keyword(s):  
Prediction Model ◽  
Natural Disaster ◽  
Significant Influence ◽  
Financial Distress ◽  
Total Asset ◽  
Analysis Method ◽  
Asset Sales ◽  
Working Capital ◽  
Total Debt ◽  
Bank Officer

One of the factors causes financial distress is a natural disaster such as Eruption of Sinabung in Karo. By using the financial’s debtor performance (financial ratios), Bank officer has an analyzing system to detect the ability of the debtor to pay their liabilities. The aim of this research is to design prediction model and analyze whether Working Capital to Total Asset, Sales to total Asset, Total Debt to Total Asset, Total Debt to Total Equity, and Earning Before Interest and Taxes to Total Asset  have significant influence to predict the financial distress or non financial distress of debtor while the Sinabung eruption is happening. The analysis method using Binary logistic with dummy data on the dependent variable. The result shows that only Total Debt to Total Asset has positive and significant effect to predict the probability of debitor’s financial distress. The possibility of predictions accurate is about 86,7%. The value Nagelkerke R Square is  67,8 % which indicates that the variation of financial distress and non financial distress’s probability  can be explained by variation of  Working Capital to Total Asset, Sales to total Asset, Total Debt to Total Asset, Total Debt to Total Equity, and Earning Before Interest and Taxes to Total Asset. While 32,2 % can be explained by others factor exclude of the research.

scholarly journals Analisis Financial Distress Menggunakan Metode Altman Z–Score pada PT. Golden Plantation Tbk. Periode 2014-2018

2021 ◽  
Vol 2 (1) ◽  
pp. 102-121
Author(s):  
Cintya Meiske Idi ◽  
Johanis Darwin Borolla
Keyword(s):  
Financial Distress ◽  
Quantitative Data ◽  
Financial Statements ◽  
Future Research ◽  
Z Score ◽  
Analysis Method ◽  
Working Capital ◽  
Dangerous Zone ◽  
Score Method ◽  
Selection Of

The goal of this study is to decide how the effects of the analysis of predictions of financial distress using the Atlman Z-score method with estimates for the period 2014-2018 on PT Golden Plantation Tbk are determined. PT Golden Plantation, which is a business engaged in the oil palm plantation industry with the type of data used, is the focus of this study, namely quantitative data in the form of the financial statements of PT Golden Plantation for the period 2014 to 2018. And the Altman Z - Score Adjusted variable aproach is the data analysis method used in this study. It can be inferred that, based on the findings of the report, the organization started to encounter financial distress in 2014. In 2015 to 2018 the altman z - score of PT Golden Plantation was <1.1 or a dangerous zone which means that PT Golden Plantation Tbk is in a bankrupt condition. And we can be sure that the company will also face financial problems in the next few years. This is attributable to the selection of debt used by the firm. The utilization of the company's existing debt tends to rise each year, exceeding the value of the company's current assets, so that the working capital of the company still has a negative variable. To Future research is suggested to add other variables in examining financial distress.

ANALISIS FINANCIAL DISTRESS STUDI EMPIRIS PADA PERUSAHAAN MANUFAKTUR YANG LISTING DI BURSA EFEK INDONESIA

2017 ◽  
pp. 1-19
Author(s):  
Abdonsius Sitanggang
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Net Income ◽  
Financial Health ◽  
Z Score ◽  
Working Capital ◽  
Financial Condition ◽  
Total Debt ◽  
Manufacturing Company ◽  
Positive Effect

The research aims to analyze the financial conditions to assess financial health at a manufacturing company in Indonesia Stock Exchange Listings. The benefits of the research is to provide material information to management and stakeholders regarding financial health as a material consideration for management or other parties, such as investors and potential investors, creditors and other parties for decision making. The population of the research was the financial report of a manufacturing company in Indonesia stock exchange listing as many as 140 companies. Sample research is as many as 30 companies. Opersionalisasi research is variable: the ratio of working capital to Total Assets, the ratio of net income to Total Assets was detained, the ratio of EBIT to Total Assets, and the ratio of the value of the capital markets themselves by taking action against Total Debt in 2009-2011. The required data are secondary data collected through technical documentation, data analysis techniques used are descriptive method. Based on the results of the study it can be concluded that corporate financial kondish manufacturing Indonesia stock exchange listings are rated from financial ratios, that ratio analysis is not membarikan a clear picture to stakeholders about health conditions and symptoms of the bankruptcy of the company. The listhne manufacturing company in BEI has not used the Z-Score model to know their financial health. Sporting results results of the discriminant equation obtained data 0, 553X1 0, 507X2 0, 409X3 0, 009X4. The value of the discriminant tells us that the ratio of working capital to Total Assets, the ratio of net income to Total Assets was detained, the ratio of EBIT to Total Assets and the ratio of the value of Own capital market Debt to Total positive effect of bankruptcy prediction manufacturing company listed in the stock exchange Inonesia. Wilks Lambda test results show that the ratio of working capital to Total Assets Ratio Return on hold, with a Total Assets, the ratio of EBIT to Total assets and market value of private equity with Total debt, significant positive effect on the symptoms of a manufacturing company in bankruptcy listings in Indonesia stock exchange. The z-score of 2009 indicates that its financial condition healthy companies as much as 22 companies and there are 8 companies in financial distress, indicating conditions are forecast to be bankrupt. In 2010, there were 21 companies that have a healthy financial condition while nine companies in In 2011, there are 24 companies that have a healthy financial condition while 6 company again in conditions of financial distress which indicates the forecast will go bankrupt. The advice given as consideration to the company is the company should implement a Z-Score method for knowing the financial condition, whether in financial distress or in kodisi healthy so that management and the users of the financial statements and other information to assess and predict the likelihood of the presence of symptoms of the bankruptcy of the company

scholarly journals PREDIKSI KONDISI KEUANGAN PADA PERUSAHAAN SEKTOR PERTAMBANGAN DI BURSA EFEK INDONESIA

2018 ◽  
Vol 7 (11) ◽  
pp. 6100
Author(s):  
Ni Kadek Tina Rasminiati ◽  
Luh Gede Sri Artini
Keyword(s):  
Cash Flow ◽  
Financial Distress ◽  
Total Asset ◽  
Total Debt ◽  
Current Asset ◽  
Asset Turnover

Kondisi keuangan merupakan suatu keadaan yang menunjukkan tingkat kesehatan perusahaan yang sesungguhnya. Kondisi keuangan diukur dengan melihat perusahaan yang mengalami financial distress dan perusahaan yang tidak mengalami financial distress. Tujuan penelitian adalah mengetahui pengaruh dari rasio keuangan seperti current asset turnover, total asset turnover, days sales in receivables, cash flow to total debt, dan  debt to asset terhadap  financial distress. Penelitian dilakukan pada perusahaan sektor pertambangan di BEI periode 2012-2016. Jumlah sampel penelitian yaitu sebanyak 8 perusahaan dalam kategori mengalami financial distress dan 16 perusahaan dalam kategori tidak mengalami financial distress. Metode pengumpulan data menggunakan metode observasi nonparatisipan dan regresi logistik sebagai teknik analisis data. Hasil penelitian ini menemukan bahwa: current asset turnover memiliki pengaruh negatif tidak signifikan terhadap financial distress, total asset turnover berpengaruh negatif signifikan terhadap financial distress, days sales in receivables memiliki pengaruh positif tidak signifikan terhadap financial distress, cash flow to total debt memiliki pengaruh negatif tidak signifikan terhadap financial distress, dan debt to asset berpengaruh berpengaruh positif signifikan terhadap financial distress. Kata kunci : kondisi keuangan, financial distress, dan rasio keuangan.

scholarly journals Analisis Pengaruh Current Ratio, DER, TATO dan EBITDA Terhadap Kondisi Financial Distress Pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia

2019 ◽  
Vol 14 (1) ◽  
pp. 111-125
Author(s):  
Amanda Oktariyani
Keyword(s):  
Regression Analysis ◽  
Financial Distress ◽  
Stock Exchange ◽  
Total Asset ◽  
Manufacturing Companies ◽  
Analysis Method ◽  
Current Ratio ◽  
Asset Turnover ◽  
Equity Ratio ◽  
Tax Depreciation

This study aims to determine whether the financial ratios that proxied by Current Ratio, Debt to Equity Ratio, Total Asset Turnover, and Earning Before Interest, tax, Depreciation, and Amortization  affect to Financial distress in manufacturing companies listed on the IDX from  2013  to  2017. The  samples  consist  of  46  manufacturing  companies. The data  analysis  method used is logistic regression analysis. The results showed that Total Asset Turnover and Earning  Before Interest, Tax, Depreciation and Amortization influence partially to Financial Distress. Whereas, Current Ratio and Debt to Equity Ratio has not influence partially to Financial distress. The results showed that Current Ratio (CR), Debt to Equity Ratio (DER), Total Asset Turnover (TATO) and Earning Before Interest, Tax, Depreciation and Amortization (EBITDA) influence simultaneously to Financial Distress on manufacturing companies listed on Indonesia Stock Exchange (IDX) 2013-2017.

scholarly journals Financial Distress Analysis in an Indonesian Textile Company

2021 ◽  
Author(s):  
Yanuar Ramadhan ◽  
Marindah Marindah
Keyword(s):  
Financial Distress ◽  
Market Value ◽  
Total Asset ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Purposive Sampling ◽  
Simultaneous Effect ◽  
Score Method ◽  
Altman Model

This research aimed to examine the health of textile companies by using the Altman Z-Score method. The Altman model is used to determine the effect on financial distress through Working Capital to Total Asset (WCTA), Retained Earning to Total Asset (RETA), Earning Before Interest and Tax to Total Asset (EBITA), Market Value of Equity to Book Value of Liabilities (MVEBL) and Sales to Total Asset (STA). The population in this study was textile companies for the period 2016-2019. The sample was 14 textile companies with a research time of 4 years resulting in 56 samples obtained by purposive sampling. The results indicated that WCTA, RETA, EBITA, MVEBL and STA had a simultaneous effect on financial distress, but they had no effect separately. Keywords: Altman Z-Score, financial distress, bankruptcy

scholarly journals Influence of Working capital to total asset, EBIT to total asset, EBT to current liabilities, Sales to total asset and Springate Indeks on Stock Return Comparison from two Property & Real Estate and Food & Beverage Sectors Listed on Indonesia Stock Exc

2018 ◽  
Vol 2 (3) ◽  
pp. 29-33
Author(s):  
RILLA GANTINO ◽  
Endang Ruswanti ◽  
Taufiqurrahman Taufiqurrahman
Keyword(s):  
Real Estate ◽  
Data Processing ◽  
Significant Influence ◽  
Stock Return ◽  
Total Asset ◽  
Working Capital ◽  
Real Estate Sector ◽  
Net Profit ◽  
Food And Beverage ◽  
Sector Data

This study aims to determin effect of Working capital to total assets, EBIT to total assets, EBT to current liabilities, Sales to total assets and Springate coefficient on Stock Return. The amount of data processed by food and beverage sector are 104 from 11 companies and 315 data from 37 companies in property and real estate sector. Data processing is done to answer 3 hypotheses. The results shows,  Significance influence  of EBIT on Total Asset on  stock return for FnB sector and only working capital to Total Asset have significant influence on stock return for PnR sector. The influence of Working Capital towards Total Assets,   EBIT  to Total Assets , Net Profit Before Tax towards Current Liabilities,  and Sales towards Total Assets on stock return is only 4.7% meaning that influence stock return greater than other factor. Also the influence of coefficient springate to return stock also small, only 7%

scholarly journals Jurnal Analisis Rasio Keuangan Terhadap Kondisi Financial Distress Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia

2021 ◽  
Author(s):  
Muh Fajrin Sirajuddin
Keyword(s):  
Financial Distress ◽  
Market Value ◽  
Cash Flows ◽  
Total Asset ◽  
Working Capital ◽  
Book Value ◽  
Retained Earnings

Penelitian ini bertujuan untuk memeriksa pengaruh rasio keuangan terhadap financial distress pada perusahaan manufaktur yang terdapat di Bursa Efek Indonesia (BEI) periode 2015-2019. Penelitian ini merupakan replika dan modifikasi dari penelitian Baimwera dan Muriuki (2014) yang menyatakan bahwa hanya rasio pertumbuhan dan profitabilitas yang signifikan mempengaruhu financial distress. Peneliti menggunakan enam variabel independen yang diduga dapat mempengaruhi terjadinya financial distress. Keenam variabel tersebut adalah Earning Before Interest and Tax to Total Asset(EBITTA), Working Capital to Total Asset (WCTA), Market Value of Equity to Book Value of Total Liability (MVTL), Retained Earnings to Total Asset (RETA), Sales to Total Asset (SATA), dan Cash Flows from Operating to Total Asset (CFOTA). Data diuji pada satu tahun dan dua tahun sebelum terjadinya financial distress.

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 Prediksi financial distress dalam mengukur kinerja perusahaan manufaktur

2018 ◽  
Vol 1 (1) ◽  
pp. 27-36
Author(s):  
Eko Sulastri ◽  
Rachma Zannati
Keyword(s):  
Financial Distress ◽  
Profit Margin ◽  
Total Asset ◽  
Manufacturing Companies ◽  
Current Ratio ◽  
Analytical Technique ◽  
Total Debt ◽  
Net Profit ◽  
Component Manufacturing ◽  
Turn Over

This study aims to provide empirical evidence regarding the effect of Current Ratio, Total Asset Turn Over, Total Debt to Equity, and Net Profit Margin on Financial Distress measured using EPS (Earning per Share). The object of this study is the automotive and component manufacturing and textile and garment sector manufacturing companies listed on the IDX for the 2013-2017 period. Based on the purposive sampling method, based on predetermined criteria, 25 companies were selected as research samples. The analytical technique used is logistic regression. The results showed that the effect of Current Ratio, Total Asset Turn Over, positive had no effect on Financial Distress, while Total Debt to Equity, and Net Profit Margin were positive and significant towards Financial Distress

scholarly journals ANALISIS FINANCIAL DISTRESS DENGAN MENGGUNAKAN METODE ALTMAN Z-SCORE PADA PERUSAHAAN PT. UNITEX, TBK YANG TERDAFTAR DI BURSA EFEK INDONESIA

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Mei Kartini Sihombing ◽  
Pinondang Nainggolan ◽  
Parman Tarigan ◽  
Supitriyani Supitriyani
Keyword(s):  
Financial Distress ◽  
Total Asset ◽  
Z Score ◽  
Working Capital ◽  
Retained Earnings

Tujuan penelitian ini adalah untuk mengetahui gambaran FinancialDistress PT UNITEX, Tbk yang Terdaftar di Bursa Efek Indonesia pada tahun 2006-2014 berdasarkan metode Altman Z-score serta mengetahui faktor dominan yang menyebabkan Financial Distress PT. UNITEX, Tbk yang Terdaftar di Bursa Efek Indonesia pada tahun 2006-2014 dengan menggunakan Metode Altman Z-score. Metode yang digunakan dalam penelitian ini adalah metode analisis deskriptif dan induktif. Pengujian dilakukan dengan menggunakan bantuan program MS Excel dengan rasio Altman Z Score. Hasil penelitian dapat disimpulkan sebagai berikut : 1) Rata-rata Z Score selama tahun 2006 hingga tahun 2014 berada pada angka minus 2,79 atau berada di bawah angka 1,88. Ini berarti PT. Unitex, Tbk benar-benar dalam posisi sedang mengalami financial distress atau masalah keuangan yang serius. 2) Faktor-faktor Retained Earnings to Total Assets Ratio, Net Working Capital to Total Asset Ratio, dan Earnings Before Interest and Taxes to Total Asset Ratio adalah secara berurutan merupakan faktor-faktor yang paling dominan menyebabkan terjadinya financial distress pada PT. Unitex, Tbk. Hasil ini menerimahipotesis penelitian ini yang menyatakan bahwa “Diduga Retained Earnings to Total Assets Ratio, Net Working Capital to Total Asset Ratio, dan Earnings Before Interest and Taxes to Total Asset Ratio merupakan faktor yang dominan menyebabkan terjadinya Financial Distress PT UNITEX, Tbk yang Terdaftar di Bursa Efek Indonesia”.

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