Prediksi Kebangkrutan Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia

2021 ◽  
Vol 5 (2) ◽  
pp. 126-141
Author(s):  
Melati Eka Putri ◽  
Auliffi Ermian Challen
Keyword(s):  
Prediction Models ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Bankruptcy Prediction ◽  
Analytical Models ◽  
Ratio Analysis ◽  
Debt Capital ◽  
Score Model

This study aims to examine the potential for bankruptcy of companies with three analytical models, namely Altman Z-Score, Springate S-Score, and Zmijewski X-Score, and assess the level of accuracy of the three models. Each model uses ratio analysis with the elements of assets, debt, capital, and company profits. This study uses a sample of coal mining companies listed on the Indonesia Stock Exchange (IDX) during the 2014-2018 period. The sampling technique in this study used purposive sampling and obtained 24 sample companies. This study uses secondary data, namely the company's financial statements obtained from IDX's official website. This study calculates financial ratios, compares the scores of the three bankruptcy prediction models, and tests the model's accuracy. The results of this study show that of the three models, the Springate S-Score model is the most accurate in predicting bankruptcy, with an accuracy rate of 83.33%, as evidenced by two companies that were delisted from the IDX. This study can be used as a reference and as material for consideration in making investment decisions for companies and investors.

scholarly journals Pengaruh Perputaran Modal Kerja, Likuiditas dan Pertumbuhan Penjualan terhadap Profitabilitas

2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Virgadinda Anindita ◽  
Elmanizar Elmanizar
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Ratio Analysis ◽  
Sales Growth ◽  
Manufacturing Companies ◽  
Analysis Method ◽  
Working Capital ◽  
Food And Beverage

This study aims to determine the effect of working capital turnover, liquidity and sales growth on profitability in food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange in 2014-2017. This study utilizes secondary data of the financial statements of food and beverage subsector companies on the Indonesia Stock Exchange in 2014-2017 collected from the official website of the Indonesia Stock Exchange. The sampling technique used purposive sampling. The samples in this study were 11 companies on the Indonesia Stock Exchange. The analysis method used ratio analysis and multiple linear regression with a significant level of 5%. The results showed that the working capital turnover, liquidity and sales growth affected significantly on profitability.

scholarly journals Comparative Analysis of Bankruption Prediction Models in Property and Real Estate Sector Companies Listed on the IDX 2017-2019

2021 ◽  
Vol 6 (1) ◽  
pp. 170-173
Author(s):  
Fika Andriani ◽  
Pardomuan Sihombing
Keyword(s):  
Comparative Analysis ◽  
Real Estate ◽  
Prediction Models ◽  
Stock Exchange ◽  
Sample Selection ◽  
Sampling Technique ◽  
Bankruptcy Prediction ◽  
Real Estate Sector ◽  
Score Model ◽  
The Right

This study takes the topic of comparative analysis of bankruptcy prediction models in the Property and Real Estate Sector companies listed on the IDX in 2017-2019. In this case, the test was conducted to compare the accuracy between the Altman Z-Score, Springate S-Score and Zmijewski X-Score models in predicting the bankruptcy of property and real estate companies. The sample consisted of 20 companies after the sample selection was carried out using purposive sampling technique. To obtain the right level of accuracy, a comparison of the distress or non-distress score categories of each bankruptcy model with the earnings per share (EPS) value of each company was carried out through a dummy variable. Through this test, it is known that the Zmijewski X-Score model is the most accurate model in predicting bankruptcy in the property and real estate sectors listed on the Indonesia Stock Exchange (IDX) by 90%.

scholarly journals Laporan Keuangan dan Prediksi Kebangkrutan Perusahaan

2020 ◽  
Vol 5 (1) ◽  
pp. 196
Author(s):  
Putu Riesty Masdiantini ◽  
Ni Made Sindy Warasniasih
Keyword(s):  
Data Analysis ◽  
Prediction Model ◽  
Prediction Models ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Bankruptcy Prediction ◽  
Analysis Techniques ◽  
Accuracy Level ◽  
Altman Model

This study aims to determine differences in bankruptcy predictions at company’s sub-sector of cosmetics and household listed on the Indonesia Stock Exchange (IDX) using the Altman model, Springate model, Zmijewski model, Taffler model, and Fulmer model, and to determine the bankruptcy prediction model that is the most accurate of the five bankruptcy prediction models. This study uses secondary data in the form of company financial statements for the period 2014-2018. Data analysis techniques in this study used the Kruskal-Wallis test. The results showed there were differences in bankruptcy predictions using the Altman model, Springate model, Zmijewski model, Taffler model, and Fulmer model. The Zmijewski, Taffler, and Fulmer models have the same accuracy level of 100% so that the three prediction models are the most accurate prediction models for predicting the potential bankruptcy at companies sub-sector of cosmetics and household listed on the IDX.

scholarly journals DETERMINASI PENGUNGKAPAN TRANSAKSI PIHAK BERELASI BERDASARKAN PSAK NO.7 TAHUN 2018

2020 ◽  
Vol 6 (1) ◽  
pp. Press
Author(s):  
Jessyka Tridewi Purba ◽  
Husnah Nur Laela Ermaya ◽  
Ayunita Ajengtiyas
Keyword(s):  
Earnings Management ◽  
Audit Committee ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Sampling Technique ◽  
Institutional Ownership ◽  
Financial Statements ◽  
Managerial Ownership ◽  
Related Party Transactions

This study aims to examine the effect of Audit Committee, Independent Commissioner, Institutional Ownership, Managerial Ownership, Earnings Management to Related Party Transaction Disclosure. This type of research is quantitative reseacrh using secondary data of financial statements from manufacturing sector companies during 2016 to 2018 obtained from Indonesia Stock Exchange. The sampling technique that used is purposive sampling. The results showed that the Audit Committee, Independent Commissioners, Institutional Ownership, Managerial Ownership and Profit Management were able to influence the disclosure of related party transactions by 13%, while the remaining 87% were influenced by other variables outside this study. Partially, institutional ownership and managerial ownership significantly influence the disclosure of related party transactions. While the audit committee, independent commissioners and earnings management do not affect the disclosure of related party transactions.

scholarly journals PENGARUH FRAUD PENTAGON TERHADAP FRAUDULENT FINANCIAL STATEMENTS PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2015-2017

2019 ◽  
Vol 6 (1) ◽  
pp. 141
Author(s):  
Mega Indah Lestari ◽  
Deliza Henny
Keyword(s):  
Financial Stability ◽  
Sampling Method ◽  
Annual Report ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Analysis Method ◽  
Financial Report ◽  
Fraudulent Financial Statements

<p><em>The Objective of this research is to analyze the factors of financial report fraud with pentagon fraud analysis. This research uses six independent variables which is pressure used financial target and financial stability as proxy, opportunity with proxy  ineffective monitoring, rationalization with change in auditor as proxy, capability with proxy of CEO’s education, and arrogance with proxy frequent number of CEO’s picture, while the dependent variable is fraudulent financial statements proxied by restatement of financial statements. </em><em>This research uses secondary data that is financial report and annual report. The sample of this study is 110 samples from financial statements of financial companies listed in the Indonesia Stock Exchange (BEI) during the 2015-2017 period. Sampling technique used is purposive sampling method. The method of analysis in this study uses logistic regression analysis method.</em><em>The results of this research shows that the financial stability variable and ineffective monitoring are significant in detecting fraudulent financial statements. While financial targets variable, auditor’s change variable, CEO’s education variable, and frequent number of CEO’s picture are not significant in detecting fraudulent financial statements.</em></p>

scholarly journals ANALISIS RASIO KEUANGAN UNTUK MENILAI KINERJA KEUANGAN PADA PT. MANDOM Tbk TAHUN 2016-2020

2021 ◽  
Vol 26 (2) ◽  
pp. 22-33
Author(s):  
Wulan Damayanti ◽  
Ari Nurul Fatimah
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Good Condition ◽  
Secondary Data ◽  
Financial Statements ◽  
Ratio Analysis ◽  
Fixed Asset ◽  
Solvency Ratio ◽  
Profitability Ratios ◽  
Research Analysis

This study analyzes the financial performance of PT Mandom Tbk. This study aims to determine how the financial performance of PT Mandom Tbk during the 2015 - 2020 reporting year. The data and information used in this study were obtained from the Indonesia Stock Exchange. The test is carried out based on four categories of financial ratios, namely, Profitability Ratios, Liquidity Ratios, Solvency Ratios, and Activity Ratios. The study was conducted using a descriptive quantitative approach and the data is secondary data in the form of financial statements of income and statements of financial position obtained from the Indonesia Stock Exchange (IDX). Based on the results of research analysis using the profitability ratios of the company's financial performance, the condition is not good. Based on the liquidity ratio analysis, the company's financial performance shows a good condition. Based on the analysis of the solvency ratio, the company's financial performance shows a good condition. Based on the activity ratio analysis of the company's financial performance, it shows good conditions for receivable activities and not good for inventory activities and fixed asset activities.

Pengaruh Prediksi Kebangkrutan Model Altman Z-Score, Reputasi Auditor dan Opinion Shopping terhadap Opini Audit Going Concern

Owner ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 343-355
Author(s):  
Muhammad Yunus ◽  
Calen Calen ◽  
Sarida Sirait
Keyword(s):  
Stock Exchange ◽  
Sampling Technique ◽  
Bankruptcy Prediction ◽  
Manufacturing Companies ◽  
Z Score ◽  
Audit Opinion ◽  
Going Concern ◽  
Opinion Shopping ◽  
Score Model ◽  
Auditor Reputation

This study aims to determine the effect of the bankruptcy prediction of the Altman z-score model, auditor reputation and opinion shopping on going concern audit opinion in manufacturing companies listed on the Indonesia Stock Exchange in 2015-2019. This research is a causal associative research with a quantitative approach. The sample in this study were 25 manufacturing companies listed on the Indonesia Stock Exchange which were determined using purposive sampling technique. Observations in this study were carried out throughout the period 2015 to 2019 so that the number of observations was 125 data. The type of data used in this study is secondary data. While the data analysis method used in this research is panel data regression analysis with statistical data processing software, namely STATA. Based on the results obtained in this study, it can be seen that the prediction of bankruptcy based on the Altman z-score model has no significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. Auditor reputation is proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. And opinion shopping is also proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange.

scholarly journals BANKRUPTCY PREDICTION OF THE COMPANY USING ALTMAN Z–SCORE METHOD FOR THE CONVENTIONAL BANKS REGISTERED IN THE INDONESIA STOCKS EXCHANGE (BEI)

2017 ◽  
Vol 2 (02) ◽  
pp. 11
Author(s):  
Irwansyah .
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Gray Area ◽  
Analysis Technique ◽  
Score Analysis ◽  
Score Method ◽  
Score Model ◽  
Conventional Banks

This study was conducted to prove the accuracy of bankruptcy prediction of Altman Z-Score model on conventional banks listed on the Indonesia Stock Exchange. The data used in this study is secondary data obtained from the annual financial statements of conventional banks during the period of 2013-2016 mentioned on the official website of the Indonesia Stock Exchange. The data analysis technique used is bankruptcy prediction of Altman Z-Score model, using five variables representing liquidity ratios X1, profitability ratios X2 and X3, and activity ratios X4 and X5. The formula Z-score = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + X5. When Z-Score criteria is Z > 2.90 it is categorized as a healthy company. Z-Score between 1.23 to 2.90 is categorized as a company in area. While Z-Score Z < 1.23 is categorized as a potential bankrupt company. Based on the results of the research, Z-Score analysis that has been done in the period of 2013-2016 indicating that most conventional banks are predicted bankrupt. The lowest score of the Z-Score is 1.23. Only one Bank Jtrust Indonesia Tbk (BCIC bank code) is in a healthy category. Bank Mandiri (Persero) Tbk with BMRI bank code, has been increasing from the prediction of bankruptcy category to the prediction of gray area category.Keywords: Altman Z-Score, Conventional Banks Listed on BEI 2013-2016, Prediction of Bankruptcy.

scholarly journals PENGARUH UKURAN PERUSAHAAN, LEVERAGE, DAN PROFITABILITAS TERHADAP INCOME SMOOTHING PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2014-2018

2021 ◽  
Vol 5 (1) ◽  
pp. 34
Author(s):  
Tri Setyaningsih ◽  
Titiek Puji Astuti ◽  
Yunus Harjito
Keyword(s):  
Firm Size ◽  
Quantitative Research ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Analysis Data ◽  
Income Smoothing ◽  
Manufacturing Companies ◽  
Positive Effect

This Study aims to examine the effect of firm size, leverage and profitability on income smoothing of the manufacturers registered at the Indonesia’s Stock Exchange in 2014-2018. Type of research in this study is quantitative research. The data used be in the form of secondary data taken based on the company’s financial statements in manufacturing companies listed on Indonesia Stock Exchange in 2014-2018. The sampling technique of this study uses purposive sampling method. The analysis method of this research uses a regression analysis with Eviews 9 Version. Based on the result of analysis data in this research showes that the firm size have a positive effect on income smoothing while the leverage and profitability does not effect on income smoothing in manufacturing companies listed on Indonesia Stock Exchange in 2014-2018. Keywords: Firm Size, Leverage, Profitability, Income Smoothing

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

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