scholarly journals ANALISIS PREDIKSI FINANCIAL DISTRESS MENGGUNAKAN MODEL ALTMAN Z-SCORE, ZMIJEWSKI, SPRINGATE PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)

INOVATOR ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 43
Author(s):  
Ahmad Suryaman ◽  
Immas Nurhayati ◽  
Diah Yudawati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Z Score ◽  
Financial Report ◽  
Report Data ◽  
Annual Financial Report

The main purpose of this research is to analyze or predict the level of financial distress at PT. Indocement Tunggal Prakarsa Tbk and PT. Astra International Tbk uses several methods namely altman, zmijewski and springate. The annual financial report data used in this study is secondary dataobtained from the Indonesia Stock Exchange. The results showed, when tested using the method of Altman and Zmijewski, the two companies condition are in non-financial distress, but when tested using Springate method, in 2013 – 2016, PT. Astra International Tbk indicated in financial distress condition.

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 ANALISIS FINANCIAL DISTRESS PADA PERUSAHAAN PERTAMBANGAN BATU BARA YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2017-2018

2020 ◽  
Vol 6 (1) ◽  
pp. 36-45
Author(s):  
Reza Septian Pradana
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Coal Mining ◽  
Logistic Regression Analysis ◽  
Firm Size ◽  
Financial Distress ◽  
Stock Exchange ◽  
Financial Report ◽  
Equity Ratio ◽  
Annual Financial Report

This study aims to identify financial distress for coal mining firms registered in Indonesia Stock Exchange and analyze the factors that influent. This study uses methodological logistic regression analysis. The result of analyzing annual financial report 23 coal mining firms registered in Indonesia Stock Exchange period 2017-2018 is that 5 firms get financial distress. The result of estimation using logistic regressionshows that firm size and Debt to Equity Ratio (DER) significantly influent to the opportunity of coal mining firms gets financial distress. Thus, coal mining firms registered in Indonesia Stock Exchange period 2017-2018 need to enhance asset and use equity more than debt for firm’s funding.

scholarly journals Analisis Dengan Menggunakan Metode Altman Z- Score, Springate (S-Score) Dan Zmijewski Sebagai Signaling Kebangkrutan Pada Perusahaan Manufaktur Sektor Otomotif Yang Terdaftar Di Bei Periode 2015-2017

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Agnes Mega Widiastuti
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Automotive Sector ◽  
Manufacturing Companies ◽  
Z Score ◽  
Financial Report ◽  
Grey Area ◽  
Score Method ◽  
Method Analysis ◽  
Annual Financial Report

he purpose of this study was to determine the predictions of bankruptcy in the Automotive Sector Manufacturing Companies listed in Indonesia Stock Exchange for the period 2015-2017 based on the results of the Altman Z-score, Springate (S-score) and Zmijewski method analysis. This study uses secondary data, it was the annual financial report of the Automotive Sector Manufacturing Company for the period 2015-2017 using the technique of documentation and analyzed by the Altman Z-score method, Springate (S-score), and Zmijewski. The final results of this study indicate that there is a difference in the percentage of bankruptcy rates of each company from each method used. The results of the prediction of the Altman Z-score bankruptcy method, it was the bankrupt category of 25.00%, the non-bankrupt category of 8.33% and the grey area category of 66.67%. The prediction results of Springate (S-score) bankruptcy method, it was the bankrupt category of 66.67%, and the non-bankrupt category of 33.33%. The prediction results of Zmijewski bankruptcy method, it was the bankrupt category of 8.33%, and the non-bankrupt category by 91.67%.

scholarly journals Kemampuan Model Z- Score dan Model Springate Dalam Memprediksi Financial Distress BPR Multi Artha Sejahtera

2019 ◽  
Vol 8 (1) ◽  
pp. 68-79
Author(s):  
Uki Masduki ◽  
Adi Rizfal Efriadi ◽  
Ermalina Ermalina
Keyword(s):  
Financial Services ◽  
Financial Distress ◽  
Secondary Data ◽  
Analytical Tool ◽  
Z Score ◽  
Financial Report ◽  
Report Data ◽  
Bankruptcy Rate

The purpose of this study was to test the ability of the model or analytical tool used to predict the bankruptcy of the company, namely the Altman's Z-afternoon model and the Springate model of BPR Multi Artha Sejahtera whose license has been revoked by the Financial Services Authority (OJK) through Commissioner Decree Number 16 / KDK.03 / 2016 with company considerations deteriorating. The data used is secondary data, namely the 2012-2015 BPR Multi Artha Sejahtera financial report data obtained from Bank Indonesia reports. The data is then analyzed using the Altman Z-score (Z-Score) and Springate (S-Score) formulas to detect whether or not there are indications of bankruptcy before BPR Multi Artha Sejahtera is actually declared bankrupt. The results of this study concluded that overall, both Z-core and S-Score were able to predict the bankruptcy rate of BPR Multi Artha Sejahtera during 2011 - 2015. In the case of BPR Multi Artha Sejahtera bankruptcy the use of S-Score to predict bankruptcy is more appropriate in predicting bankruptcy.

Financial Statement Ratio Analysis to Predict Bankruptcy nn Company Registered in BEI - Jakarta (Altman Z-Score Method and Zmijewski)

2020 ◽  
Vol 3 (3) ◽  
pp. 122
Author(s):  
Andi Silvan
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Good Condition ◽  
Financial Statement ◽  
Depth Information ◽  
Z Score ◽  
Industrial Manufacturing ◽  
Financial Difficulties ◽  
A Value ◽  
Score Method

AbstractThis study takes the topic of predicting corporate bankruptcies. This research dqlam use traditional methods Altman Z-Score and Zmijewski. The purpose of this study was to obtain in-depth information about predicting bankruptcy of companies that are not necessarily directly to bankruptcy, but there is financial distress.Based on the results of research conducted on the four (4) non industrial manufacturing company listed on the Indonesia Stock Exchange (BEI). Obtaining the value z-score represents the average company are in good condition, which means no financial distress. Acquisition value of x-score has a value of less than 0 (zero) which means that the company is in good condition and is predicted not experiencing financial difficulties. This study led to the conclusion that the Altman Z-Score and Zmijewski method can be used to predict corporate bankruptcy. Keywords: Financial Ratios, Bankruptcy, Company.

scholarly journals Analysis of bankruptcy issues at manufacturing companies, sub-sectors of cosmetics and houseappliances registered in Indonesia Stock Exchange (IDX) year 2015-2017 using Altman Z-score

2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Marketing Performance ◽  
Grey Area ◽  
Manufacturing Company ◽  
Score Model

This research aims to figure out the level of companies bankruptcy by applying Altman Z-Score at the manufacturing companies registered in the Indonesia Stocks Exchange. The result of the research has indicated that ZScore model is applicable to detect the company’s potential bankruptcy issues, especially manufacturing company subsectors of cosmetics and houseappliances. Altman Z-Score model has classified the companies into three categories; safe, grey area and distress. Based on the result of the research, for the companies which are in the grey area category are suggested to improve their financial performance and to use the benefit of all the assets properly to get the revenue as much as possible. However, for the companies which are in the safe category are suggested to increase their performance, especially marketing performance so that they will receive bigger amount of the revenue, nevertheless, the potential of financial distress can be minimized accordingly. Keywords: manufacturing company, financial distress, Altman Z-Score.

scholarly journals ANALISIS FINANCIAL DISTRESS PADA PT TUNAS BARU LAMPUNG TBK DI BURSA EFEK INDONESIA

2017 ◽  
Vol 13 (2) ◽  
pp. 129-141
Author(s):  
Umi Ambarwati ◽  
Sudarwati Sudarwati ◽  
Rochmi Widayanti
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Financial Ratios ◽  
Z Score ◽  
Effective Strategies ◽  
Operational Costs ◽  
Score Method

This article aims to analyze the health of the company in PT Tunas Baru Lampung TBK in Indonesia Stock Exchange. The data comes from PT Tunas Baru Lampung TBK in 2013-2015. The methods used are Altman Z-Score, Springate, Zmijewski and Fulmer methods. The results of the study show that there are differences in predicted bankruptcy results between the Altman Z-score method, Springate, Zmijewski and Fulmer. This is due to differences in the use of financial ratios and criteria bankruptcy between Altman Z-score, Springate, Zmijewski and Fulmer. For that company is expected to increase sales, perform effective strategies, reduce operational costs to be more efesian so that companies can meet the company's health criteria.   Artikel ini bertujuan untuk menganalisis kesehatan perusahaan pada PT Tunas Baru Lampung TBK di Bursa Efek Indonesia. Data berasal dari PT Tunas Baru Lampung TBK pada tahun 2013-2015. Metode yang digunakan adalah metode Altman Z-Score, Springate, Zmijewski dan Fulmer. Hasil penelitian menunjukkan adanya perbedaan hasil prediksi kebangkrutan antara metode Altman Z-score, Springate, Zmijewski dan Fulmer. Hal ini karena adanya perbedaan penggunaan rasio keuangan dan kriteria kebangkrutan antara Altman Z-score, Springate, Zmijewski dan Fulmer. Untuk itu perusahaan diharapkan meningkatkan penjualan, melakukan strategi yang efektif, menekan biaya operasional agar lebih efesian sehingga perusahaan dapat memenuhi kriteria kesehatan perusahaan.

scholarly journals ANALISIS RISIKO KEGAGALAN BISNIS PADA PERUSAHAAN TRANSPORTASI GO PUBLIC DI BURSA EFEK INDONESIA

Media Ekonomi ◽  
2020 ◽  
Vol 27 (2) ◽  
pp. 95
Author(s):  
Reza Septian Pradana
Keyword(s):  
Multiple Regression ◽  
Firm Size ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Business Failure ◽  
Current Ratio ◽  
Financial Report ◽  
Failure Risk ◽  
Annual Financial Report

<em>The study aims to identify the business failure of transportation firms go public in Indonesia Stock Exchange and analyze the factors that influent the business failure risk.</em><em>The method used in this study is descriptive analysis and inference analysis using multiple regression. The data used in this study are business failure risk, current ratio (CR), and firm size of transportation firms go public in Indonesian Stock Exchange period 2017-2018.</em><em>The result of analyzing annual financial report 30 transportation firms go public in Indonesia Stock Exchange period 2017-2018 is that 12 firms have negative profit in period 2017-2018. Based on calculating value of business failure risk, three firms which have the highest possibility to get business failure are APOL, CANI, and TAXI. The result of estimation using multiple regression shows that Current Ratio (CR) and firm size significantly influent to the business failure risk. Thus, transportation firms go public in Indonesian Stock Exchange need to enhance asset and and use equity more than debt for firm’s funding.</em>

scholarly journals FINANCIAL CONDITION MODERATED THE EFFECTIVENESS OF AUDIT COMMITTEETOREDUCE EARNINGSMANAGEMENT

2015 ◽  
Vol 12 (2) ◽  
Author(s):  
Michella Maria Virgine Prayogo ◽  
Yie Ke Feliana ◽  
Aurelia Carina Christanti Sutanto
Keyword(s):  
Earnings Management ◽  
Financial Distress ◽  
Audit Committee ◽  
Stock Exchange ◽  
Score Test ◽  
Z Score ◽  
Financial Condition ◽  
Activity Frequency ◽  
Distressed Firms ◽  
The Impact

Some cases of financial fraud invite inquiries about the effectiveness of corporategovernance mechanism in financial distress companies. This study empiricallyexamines whether the financial distress moderate the impact of corporate governancemechanism to earnings management. The sample of this study is manufacturingcompanies listed at Indonesia Stock Exchange for period 2010 -2012. Discretionaryaccruals are used as a proxy for earnings management, while financially distressed andnon-distressed firms are identified based on Altman Z-score test. Corporate governancemechanism is measured by four characteristics of the audit committee, i.e. size (totalnumber of audit committee members), independence (audit committee composition),activity(frequency of audit committee meeting), and expertise (the number of auditcommittee have finance or accounting background).This study finds that (1) financialdistress does not moderate the impact of total members of audit committee to earningsmanagement; (2) financial distress does not moderate the impact of frequency of auditcommittee meeting to earnings management; (3) financial distress does not moderatethe impact of audit committee composition to earnings management; (4)financialdistress moderates the impact of audit committee finance/accounting knowledge toearnings management. These results suggestthat the effectiveness corporate governanceis low, and finance/accounting literacy of audit committee should be alert.Beberapa kasus manipulasi keuangan pada perusahaan yang mengalami kesulitankeuangan mengundang pertanyaan terkait efektifitas mekanisme tata kelola perusahaan.Penelitian ini secara empiris menguji apakah kondisi kesulitan keuangan dapatmemoderasi pengaruh mekanisme tata kelola perusahaan terhadap manajemen laba.Sampel dari penelitian ini adalah perusahaan sektor manufaktur yang terdaftar di BursaEfek Indonesia periode 2010-2012.Discretionary accruals digunakan sebagai proksiuntuk manajemen laba, sedangkan kondisi kesulitan keuangan diidentifikasimenggunakan uji Altman Z-score. Mekanisme tata kelola perusahaan diukur dengan 4karakteristik komite audit, yaitu ukuran (jumlah anggota komite audit), independensi(komposisi komite audit), aktivitas (frekuensi pertemuan komite audit), dan keahlian(jumlah anggota komite audit yang memiliki latar belakang keuangan atau akuntansi).Penelitian ini menemukan bahwa (1) kondisi kesulitan keuangan tidak memoderasipengaruh jumlah anggota komite audit terhadap manajemen laba; (2) kondisi kesulitankeuangan tidak memoderasi pengaruh frekuensi pertemuan komite audit terhadapmanajemen laba; (3) kondisi kesulitan keuangan tidak memoderasi pengaruh komposisikomite audit terhadap manajemen laba; (4) kondisi kesulitan keuangan memoderasi pengaruh jumlah anggota komite audit yang memiliki latar belakang keuangan atauakuntansi terhadap manajemen laba. Hasil ini menunjukkan bahwa efektifitas tatakelola perusahaan masih rendah dan anggota komite audit yang memiliki latar belakangkeuangan atau akuntansi harus mewaspadainya.

scholarly journals PENGARUH PROFITABILITAS, UMUR PERUSAHAAN DAN UKURAN PERUSAHAAN TERHADAP KETEPATAN WAKTU PENYAMPAIAN LAPORAN KEUANGAN PERUSAHAAN

2018 ◽  
Vol 26 (2) ◽  
pp. 144-157
Author(s):  
Widia Astuti ◽  
Teguh Erawati
Keyword(s):  
Agency Theory ◽  
Financial Reporting ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Report ◽  
Efficient Performance ◽  
Food And Beverage ◽  
Report Data ◽  
Positive Effect ◽  
Corporate Financial Reporting

Financial information will have benefits if delivered on time to the wearer who is closely related to the agency theory (agency theory) where in the theory of this agency explained that the owner oversees the agency (employee) to perform more efficient performance. The value of timeliness of financial reporting is important for the level of benefit of the report. This study aims to test the profitability, age of the company and the size of the company to the timeliness of corporate financial reporting. The sample of this study consists of 13 food and beverage companies with 65 financial report data listed on the Stock Exchange 2012-2016. To test the hypothesis, used secondary data with purposive sampling method. Data analysis techniques used logistic regression analysis. After the data in the analysis, found that the profitability variable has a significance value of 0.045 means that the hypothesis X1 positive effect on timeliness of corporate financial reporting due to the significance value less than 0.05. Variable of company age have significance value equal to 0,066 and company size have significance value equal to 0,412 meaning hypothesis X2 and X3 have no effect to variable Y because significance value greater than 0,05.

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