scholarly journals Rancang Bangun Sistem Prediksi Financial Distress Menggunakan Metode Altman Z-Score Modifikasi Pada Koperasi XYZ

2021 ◽  
Vol 6 (2) ◽  
pp. 72
Author(s):  
Ni Made Lissa Primadani ◽  
Ni Kadek Ariasih
Keyword(s):  
Financial Distress ◽  
Financial Ratios ◽  
Prediction System ◽  
Z Score ◽  
Financial Reports ◽  
For Profit ◽  
Financial Condition ◽  
Calculation Results ◽  
Score Method ◽  
Z Value

Financial distress is a condition in which a company begins to show signs of bankruptcy due to a decline in the company's financial condition. XYZ Cooperative is a savings and loan cooperative that needs to be aware of experiencing financial distress. What's more, the XYZ cooperative has experienced fluctuating asset conditions, even for profit in a certain month, it has experienced a negative or loss condition. Another problem that occurred is the covid-19 pandemic which made it difficult for people to carry out their obligations such as paying credit. This made the XYZ Cooperative's income experience a drastic decline from the previous year. Meanwhile, currently XYZ Cooperative does not have a prediction system or has never predicted financial distress in its company Based on these problems, an idea emerged to design and build a financial distress prediction system at the XYZ Cooperative using the Modified Altman Z-Score method. This model was chosen because the financial ratios used in prediction calculations are in accordance with the financial ratios of the XYZ Cooperative. The final result of this research is the construction of a prediction system using the Altman Z-Score Modification method on the desktop-based XYZ Cooperative. From the 3 years of financial reports that were tested from 2017 to 2019, the prediction results were at a safe point, namely the Z value above 2.6. The calculation results for 2017 is 8.19, 2018 is 8.11 and 2019 is 7.82. However, the predicted Z value from 2017 to 2019 has decreased, although it is not significant. The accuracy calculation obtained compares the prediction results with the real situation of the cooperative using the average comparison formula and the typer error II formula. Where from the 3 sample data tested, the results of the sample received were 3 with a data error of 0.

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 Kinerja Keuangan Perusahaan pada PT. Japfa Comfeed Indonesia Tbk

2020 ◽  
Vol 5 (2) ◽  
pp. 203
Author(s):  
Jezzyca Ria Paramita ◽  
Iwan Eka Putra ◽  
Abd Halim ◽  
Ermaini Ermaini
Keyword(s):  
Financial Performance ◽  
Secondary Data ◽  
Financial Statements ◽  
Bankruptcy Prediction ◽  
Financial Ratios ◽  
Z Score ◽  
Financial Ratio ◽  
Financial Condition ◽  
Score Method ◽  
Solvency Ratio

Financial performance is an overview of how a company's financial condition is. To assess financial performance is used with a benchmark commonly called financial ratios. Financial ratios used are usually such as profitability ratio, liquidity ratio and solvency ratio. in addition to using financial ratios, the company can also use the Altman Z-Score method to assess the level of the company's bankruptcy prediction. This research aims to find out the financial performance of PT Japfa Comfeed Indonesia Tbk as well as the company's future bankruptcy predictions. the research method used is quantitative analysis based on secondary data taken from the Financial Statements of PT Japfa Comfeed Indonesia Tbk for the period 2014 to 2019. The results of the study are measurements of the company's financial ratio showing sufficient value while measurements using the company's Altman Z-Score method show healthy value which means it does not go into bankruptcy.

Peran financial distress Altman memediasi kinerja keuangan terhadap harga saham pada BUMN di BEI

2020 ◽  
Vol 2 (1) ◽  
pp. 27-40
Author(s):  
Mia Laksmiwati ◽  
◽  
Sugeng Priyanto ◽  
Keyword(s):  
Financial Performance ◽  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Warning System ◽  
Secondary Data ◽  
Z Score ◽  
Financial Reports ◽  
Score Method ◽  
Program Sample

Purpose: Testing the effect of financial performance consisting of CR, DER, ROA, TATO on stock prices with Financial Distress as the mediating variable. Research methodology: The data are secondary data in the form of financial reports. This research method uses Path Analysis, and to analyze the data using the SPSS version 25 program. Sample of 16 companies listed on the BEI in 2014-2018. Results: CR, ROA affect FD while DER, TATO do not affect FD. Only TATO has a direct effect on stock prices. FD with the Altman Z score method only indicates the DER. Limitations: The historical data used is limited, 5-year time series and the variables: six variables and Altman Z Score method. Contribution: Non-bank SOEs pay attention to CR, DER and ROA that have not influenced share prices and maintain the performance of TATO. SOE must conduct FD analysis, which is an early warning system, solutions can be found immediately if predicted will experience financial difficulties in the future. Keywords: Financial performance, Financial distress, Stock price

scholarly journals Analysis Application of Altman (Z-Score) Method and Springate (S-Score) Method to Assess Financial Distress Potential at PT Anugerah

2021 ◽  
Vol 4 (1) ◽  
pp. 61-68
Author(s):  
Kadek Mega Ciptaningsih ◽  
◽  
I W Karman ◽  
Istiarto Istiarto ◽  
◽  
...  
Keyword(s):  
Financial Distress ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Z Score ◽  
Financial Condition ◽  
Analysis Technique ◽  
Qualitative Descriptive ◽  
Score Method ◽  
Analysis Application ◽  
Early Indication

The emergence of potential financial distress is an early indication of a decline in the company's financial condition. The purpose of this research is to determine the potential of financial distress at PT Anugerah, so that it will help management anticipate the potential financial distress in the company. In this research, the assessment of financial distress potential uses the Altman (Z-score) method and Springate (S-score) method. The type of data in this research is quantitative and qualitative sourced from secondary data and obtained through interviews, documentation, and observation. The data analysis technique used is a qualitative/descriptive analysis technique. The results of research study are the financial distress potential of PT Anugerah by using the Altman (Z-score) method in 2016-2019 shows PT Anugerah is in a non-financial distress condition, because the score is in the condition of Z’’> 2.6. Furthermore, PT Anugerah financial distress potential using the Springate (S-score) method in 2016-2019 shows that PT Anugerah is in a non-financial distress condition, because the score is at S > 0.862.

scholarly journals ANALISIS POTENSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN ALTMAN Z SCORE PADA PERUSAHAN PENERBANGAN (DAMPAK PANDEMI COVID-19 DENGAN PENUTUPAN OBJEK WISATA DAN PSBB)

2021 ◽  
Vol 6 (1) ◽  
pp. 52
Author(s):  
Muhammad Rizal Affandi ◽  
Rita Meutia
Keyword(s):  
Data Analysis ◽  
Financial Distress ◽  
Stock Exchange ◽  
Z Score ◽  
Financial Reports ◽  
Financial Condition ◽  
Data Analysis Technique ◽  
Analysis Technique

This study aims to identify and analyze the potential for financial distress in airlines at Indonesia. The object of this research is the airlines listed on the Indonesia Stock Exchange (BEI), namely PT. Garuda Indonesia Tbk and PT. AirAsia Indonesia Tbk. The data used is in the form of financial reports that have been published on the Indonesia Stock Exchange through the website (www.idx.co.id) in the first quarter of 2020 – third quarter of 2020. The data analysis technique uses the Altman Z Score in predicting potential financial distress. The results of the study found that PT Garuda Indonesia Tbk and PT AirAsia Indonesia Tbk were in financial distress or in an unhealthy financial condition, and were classified as companies that have the potential to experience bankruptcy. Research shows that PT AirAsia Indonesia Tbk has a higher potential for bankruptcy than PT Garuda Indonesia Tbk.

scholarly journals The Effect Of Financial Ratios To Financial Distress Using Altman Z-Score Method In Real Estate Companies Listed In Indonesia Stock Exchange Period 2014 - 2018

2019 ◽  
Vol 19 (2) ◽  
pp. 119
Author(s):  
Ouw Desiyanti ◽  
Wahyoe Soedarmo ◽  
Kristian Chandra ◽  
Kusnadi Kusnadi
Keyword(s):  
Real Estate ◽  
Financial Distress ◽  
Stock Exchange ◽  
Financial Ratios ◽  
Z Score ◽  
Return On Equity ◽  
Financial Ratio ◽  
The Real Estate ◽  
Financial Condition ◽  
Gray Areas

<p><strong><em>Purpose</em></strong><em> - The purpose of this paper is to find out the effect of Financial Ratio on Financial Distress using Z-Score Altman method.</em></p><p><strong><em>Design/Methodology/approach</em></strong><em> - This paper uses data from 21 property and real estate companies listed in BEI period 2014-2018 with 105 data observations. The variables used are ROE (Return On Equity), DER (Debt to Equity Ratio), CR (Current Ratio), WCR (Working Capital Ratio) and Z-Score.</em></p><p><strong><em>Findings </em></strong><em>- The results show that ROE and WCR have a positive significant effect on Z-Score Altman's financial distress, DER and CR have negative significant effect on Z-Score Altman's financial distress. While simultaneously shows that at least one variable have a significant effect on Z-Score Altman financial distress.</em></p><p><em>The financial condition of companies in the real estate sector has worsened over the years, marked by the increasing number of companies that were in financial distress from 5 companies in 2014 to 9 companies in 2018. Likewise with companies in the financial condition of gray areas from 8 companies in 2014 became 9 companies in 2018. While companies with a healthy financial condition decreased from 8 companies in 2014 to 3 companies in 2018.</em></p><p><strong><em>Research limitation/implications</em></strong><em> - The sample is small, and consequently, findings may not be generalisable to the population.</em></p><p><strong><em>Originality/value</em></strong><em> - This paper aims to obtain empirical evidence of how financial ratios affect financial distress and also the exposure of financial distress probabilities to real estate companies that are used as research samples.</em></p>

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 Analisis Tingkat Kebangkrutan Pada Perusahaan Asuransi Yang Terdaftar Di Bursa Efek Indonesia

2019 ◽  
Vol 9 (2) ◽  
pp. 28
Author(s):  
Mikha Novalina Sinaga ◽  
Frendy A. O. Pelleng ◽  
Joanne V. Mangindaan
Keyword(s):  
Financial Management ◽  
Research Study ◽  
Stock Exchange ◽  
Insurance Companies ◽  
Z Score ◽  
Prediction Analysis ◽  
Financial Condition ◽  
Management Problems ◽  
Score Method ◽  
A Company

The purpose of this research study is to determine the result of prediction analysis of potential bankruptcy on eleven insurance companies sector which has been listed in Indonesia Stock Exchange year 2015 to 2018. Bankruptcy is a condition when a company experiences insufficient funds to run its business. Bankruptcy is uncertainty about the ability of a company to continue its operations if the financial condition held has decreased. In fact, not all companies experience financial management problems that often lead to bankruptcy. Based on the result and conclusions of the analysis using Altman Z-Score method that: in 2015-2018 there were several companies that were safe, namely: PT. Bina Dana Arta Insurance Tbk, PT. Harta Aman Pratama Insurance Tbk, PT. Jasa Tania Insurance Tbk, PT Indonesian reinsurance airline Tbk, PT. Panin Insurance Tbk, PT. Panin Financial Tbk, PT Victoria Insurance Tbk. Then there are companies that in 2015- 2017 are healthy but in 2018 in prone conditions, namely: PT. Bintang Insurance Tbk,and PT. Multi Artha Guna Insurance Tbk, but different from PT. Mitra Maparya Insurance Tbk which in 2015 was in vulnerable condition but in 2016-2018 is safe. And PT. Ramayana from 2015-2018 is in vulnerable condition.

scholarly journals ANALISIS KEBANGKRUTAN PERUSAHAAN DENGAN MODEL ALTMAN Z-SCORE PADA PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011-2014

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Rio Evans B.M.S ◽  
Cut Ermiati
Keyword(s):  
Sampling Technique ◽  
Multinomial Logit ◽  
Financial Ratios ◽  
Variable Ratio ◽  
Logit Analysis ◽  
Z Score ◽  
Book Value ◽  
Financial Condition ◽  
Total Debt ◽  
Retained Earnings

This study examines the analysis of bankruptcy which uses a model Altman Z-Score 1983 once studied the effect of variable ratio of Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Tax to Total Assets (X3), Book Value of Equity to Book Value of Total Debt (X4), and Sales to Total Assets (X5) against bankruptcy for companies that went bankrupt or for companies that are not bankrupt by the number of samples (purposive sampling as a sampling technique ) as many as 15 companies. The purpose of this study is to analyze the financial ratios Altman model to explain the company's financial condition foods and beverages as a first step in anticipation of bankruptcy. The analysis method in this research is to perform calculations using the Altman Z-Score Revised (1983) and multinomial logit analysis. Testing is done with the first models prerequisite analysis, testing normality with the overall result is a variable based test One Sample Kolmogorov-Smirnov test indicated that the model in an abnormal position with evidence of significant data α > 0.05. Second, the test results with the results multikolinieritas with VIF < 10 and the tolerance level of > 0.1 indicates that our model is free from the problems of multicollinearity. This is consistent with the assumption multinomial logit analysis that does not require the classical assumption that multinomial logit analysis can proceed. The results of this study are the calculations that have been done, that there are 10 companies in the category of Grey Area and 5 companies in the category is not bankrupt. Seen as a whole has a classification of 95%, while the remaining 5% indicates that bankruptcy is explained by other variables other than those examined in this study In this study the variable ratio of Book Value of Equity to Book Value of Total Debt and Sales to Total Assets have influence significantly to the bankruptcy analysis. So that this research model is Z-Score = Ln (P1/P0) = -149.589 + 117,603BVEBVD + 33,029STA and Z-Score = Ln (P2/P0) = -117.301 + 111,623BVEBVD + 21,657STA Keywords: Bankruptcy, Multinomial Logit Analysis, Financial Ratios Altman Z-Score Model Of Revision.

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.

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