scholarly journals Analysis of Method Used to Predict Financial Distress Potential in Pulp and Paper Companies of Indonesia

2020 ◽  
Vol 1 (1) ◽  
pp. 57-69
Author(s):  
Fadrul Fadrul ◽  
Ridawati Ridawati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Prediction Method ◽  
Pulp And Paper ◽  
Z Score ◽  
Accuracy Rate ◽  
Error Type ◽  
Paper Company ◽  
Score Method

This study aims to predict financial distress in pulp and paper companies in Indonesia. The data used are the financial statements of each pul and paper company listed on the Indonesia Stock Exchange in 2012-2017. Data analysis techniques used descriptive analysis with three methods of financial distress prediction, namely the Altman Z-Score, Springate, and Zmijewski methods. The results showed that the Zmijewski method is a prediction method with the highest accuracy rate of 100%, with an error type of 0%. The Altman Z-Score method has an accuracy rate of 28.6%, with an error type of 71.4%. While the Springate method has an accuracy rate of 14.3%, with an error type of 85.7%. Therefore an accurate prediction method to predict the potential for financial distress is the Zmijewski method.

scholarly journals ANALISIS PREDIKSI KEBANGKRUTAN BERDASARKAN METODE ALTMAN Z-SCORE (STUDI KASUS PADA BANK BUMN YANG TERDAFTAR DI BEI)

2019 ◽  
pp. 191
Author(s):  
I Komang Try Satriawan Korry ◽  
Made Pratiwi Dewi ◽  
Ni Luh Anik Puspa Ningsih
Keyword(s):  
Financial Distress ◽  
Deposit Insurance ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Gray Area ◽  
Analysis Technique ◽  
Score Method

Abstract: Bankruptcy Prediction Analysis Based on the Altman Z-Score Method (Case Study ofState-Owned Banks Registered on the IDX). Bankruptcy phenomena can occur in every company.Based on data from the Deposit Insurance Agency (LPS), there were 90 banks liquidated since 2005 until mid-2018. Based on the phenomenon of bankruptcy that occurred, it was important for banks to be no exception for state-owned banks to recognize the symptoms of financial distress thatled to bankruptcy. The purpose of this study was to determine the prediction of bankruptcy basedon the Altman Z-Score method on state-owned banks listed on the Indonesia Stock Exchange (IDX).The data analysis technique used in this study is descriptive analysis techniques. The sample inthis study used four state-owned banks, namely Bank Negara Indonesia, Bank Rakyat Indonesia,Bank Tabungan Nasional, and Bank Mandiri with the technique of determining saturated samplingsamples and the data used were financial statements for the 2014-2017 period obtained throughofficial IDX sites (www.idx.co.id). The results of the study show that all state-owned banks are inthe gray area for the period of 2014-2017 because the value of the Z-score obtained is between 1.1and 2.6.

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 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 Model Altman Untuk Menilai Kinerja Perusahaan Subsektor Pertambangan Batubara Periode 2015-2019

2022 ◽  
Vol 6 (1) ◽  
Author(s):  
Agus Munandar
Keyword(s):  
Coal Mining ◽  
Quantitative Research ◽  
Sampling Method ◽  
Total Sample ◽  
Z Score ◽  
Accuracy Rate ◽  
Error Type ◽  
Score Method ◽  
Descriptive Approach ◽  
A Company

This study aims to determine the degree of accuracy of the Altman Z-score method in predicting the bankruptcy of a company. This study uses quantitative research with a descriptive approach through accuracy and error type tests. Where the samples used are companies that are members of the coal mining sub-sector during the 2015-2019 period. Purposive sampling method was used in sampling with a total sample of 19 companies. The Altman Z-score method has an accuracy rate and type error of 11% and 42%, which indicate that the method is not good for use in companies that are members of the coal mining sub-sector.

scholarly journals Kinerja Keuangan Dan Potensi Kebangkrutan Dari Perusahaan Transportasi Pelayaran Pada Tahun 2013-2017

2019 ◽  
Vol 2 (6) ◽  
Author(s):  
Aditya Budi Kurniawan Dan Carunia Mulya Firdausy
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Stock Exchange ◽  
Commodity Prices ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Financial Ratio ◽  
Grey Area ◽  
Score Method

The purpose of this study is to analyze the financial performance and potential bankruptcy of shipping transportation companies listed in the Indonesia Stock Exchange in 2013-2017. the method to estimate financial performance and bankruptcy prediction is by using  financial ratio & Altman Z-Score method. The results show that the majority of companies indicating there is a signs of improving financial performance when commodity prices begin to recover. In addition to the analysis of the Altman Z-score bankruptcy Based on the Z-score value of the 14 sample companies, in 2013 there were 5 companies in the healthy category (z-score> 2.60), however in 2016 this number decreased to 3 companies . Whereas for companies that are in the grey area category (z-score 1.1-2.60) in 2013 there were 4 companies and then declined to the remaining 3 companies in 2016. Whereas in 2013 company is in the category of financial distress (z-score <1 , 1) there are 5 companies and increased to 8 companies in 2016. In 2017 there was an increase in the companies in the healthy category & grey area each into 4 companies. While companies in the financial distress category are reduced to 6 companies. This means there are improvements in 2017.

scholarly journals BANKRUPTCY PREDICTION ANALYSIS USING THE ZMIJEWSKI MODEL (X-SCORE) AND THE ALTMAN MODEL (Z-SCORE)

2020 ◽  
Vol 1 (5) ◽  
pp. 794-806
Author(s):  
Viciwati Viciwati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Accuracy Rate ◽  
Financial Reports ◽  
Normality Test ◽  
The Difference ◽  
Score Model

This study aims to identify and analyze the accurate models of Financial Distress in retail companies listed on the Indonesian Stock Exchange in 2014-2018 using the Zmijewski (X-Score) and Altman (Z-Score) Model. The sample used is 70. This study uses secondary data from the 2014-2018 annual financial reports. This study tested the hypothesis using the normality test and the Kruskal Wallis test or the difference test using SPSS version 26. The results of this study indicate that the Zmijewski (X-Score) model is the model that has the highest accuracy rate in predicting bankruptcy with an accuracy rate of 90%.

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 Finansial Distress Untuk Memprediksi Risiko Kebangkrutan Perusahaan Sub Sektor Energi

2021 ◽  
Vol 4 (2) ◽  
pp. 764-770
Author(s):  
Pauline Cielo ◽  
Gusganda Suria Manda
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Z Score ◽  
Publicly Traded ◽  
Publicly Traded Companies ◽  
Safe Area ◽  
Score Method ◽  
Quantitative Descriptive ◽  
Research Period

This study aims to determine and analyze the financial performance of the energy sub-sector using the Almant Z-Score method. This research is a quantitative descriptive study. The population in this study are energy sub-sector companies listed on the Indonesia Stock Exchange 2015-2019. The sample in this study amounted to 4 energy sub-sector companies, namely PT. Perusahaan Gas Negara, PT. Leyand International, PT. Rukun Raharja, and PT. Mitra Energi Persada. The sampling technique in this study was using purposive sampling technique. The results of the financial distress predictions for the energy sub-sector companies, amounting to 4 publicly traded companies during the 2015 to 2019 research period using the Altman Z-Score method. This results in three companies in financial distress and one company in a safe area. Keywords: Finansial Distress, Bankrupty, Energy Sub-sector

scholarly journals DETEKSI KRISIS KEUANGAN PERUSAHAAN SEKTOR PERBANKAN DI INDONESIA

2018 ◽  
Vol 16 (2) ◽  
pp. 1-8
Author(s):  
Qidida Sela Dati ◽  
Kholisa Mirzayatiq ◽  
Citra Agis Fitriana ◽  
Bayu Sindhu Raharja
Keyword(s):  
Stock Exchange ◽  
Prediction Method ◽  
Bankruptcy Prediction ◽  
Capital Adequacy ◽  
Z Score ◽  
Financial Reports ◽  
Book Value ◽  
Capital Adequacy Ratio ◽  
Score Method ◽  
Gray Areas

Altman Z-Score is a method of scoring bankruptcy. The bankruptcy prediction method that will be used in this study is the Altman Z-Score method that is in accordance with the financial ratios which also have a cut-off point to determine the value of bankruptcy. This study uses five ratios, that is Capital Adequacy Ratio (CAR) to the Asset Sector (X1), Earnings Balance on Total Assets (X2), EBIT to Total Assets (X3), Market Value of Debt Book Value (X4), and Interest Income on Total Assets (X5). This research is a descriptive study conducted on 32 banks listed on the Indonesia Stock Exchange. Financial reports for 2013-2016 Taken from the official website of the Indonesia Stock Exchange (IDX) and the Indonesian Capital Market Directory (ICMD) then bankruptcy analysis is used the Altman Z-Score modification model. Based on the results of research and discussion that has been carried out, it can be concluded from 2013-2016 that banks in a healthy condition is 22.66%, banking in gray areas or gray is 34.38%, and bankrupt is 42.97 %.

scholarly journals ANALISIS POTENSI FINANSIAL DITREES PADA INDUSTRI SEMEN TERDAFTAR DI BURSA EFEK INDONESIA

2020 ◽  
Vol 3 (1) ◽  
pp. 47-57
Author(s):  
Pupel Olengga ◽  
Fitriya Fauzi
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Cement Industry ◽  
Z Score ◽  
Quantitative Descriptive Analysis ◽  
Grey Area ◽  
Scor Model ◽  
Quantitative Descriptive

The purpose of this research is to analyze how the potential financial distress in the cement industry are listed on the Indonesia Stock Exchange Byusing the altman z-score model and the springate model using secondary data on cement industry listed on the indonesia stock excange using quantitative descriptive analysis techniques the final result show that the financial performance analyzed using the altman z-scor model and the springate model on the cement industry listed on the indonesia stock exchange in 2013 to 2018 was in a state of no or experiencing financial difficulties. The result of the prediction of financial distrees or bankruptcy predictions are companies using the altman z-scor model in gray area and expriencing bankruptcy, namely PT. Indocement in 2017 and 2018  was  in the grey area zone grey area  and in 2017 experiencing financial ditrees, PT  Semen Baturaja (Persero), Tbk went financial distrees in 2017 and 2018 while PT Solusi Bangun Indonesia,Tbk in 2013 to 2018 experienced financial distrees while the result of financial ditress, namely PT Solusi Bangun Indonesia, not yet in 2013 to 2018 while PT Semen Baturaja (Persero),Tbk in 2017 and 2018.   Tujuan dari penelitian ini adalah untuk menganalisis bagaimana potensi kesulitan keuangan dalam industri semen terdaftar di Bursa Efek Indonesia. Dengan menggunakan model altman z-score dan model springate menggunakan data sekunder pada industri semen yang terdaftar di Bursa Efek Indonesia menggunakan deskriptif kuantitatif. teknik analisis hasil akhir menunjukkan bahwa kinerja keuangan yang dianalisis menggunakan model altman z-scor dan model springate pada industri semen yang terdaftar di bursa efek indonesia pada 2013 hingga 2018 dalam keadaan tidak ada atau mengalami kesulitan keuangan. Hasil prediksi financial distress atau prediksi kebangkrutan adalah perusahaan yang menggunakan model altman z-scor di grey area dan mengalami kebangkrutan, yaitu PT. Indocement pada 2017 dan 2018 berada di zona abu-abu zona abu-abu dan pada 2017 mengalami kesulitan keuangan, PT Semen Baturaja (Persero), Tbk mengalami kesulitan keuangan pada 2017 dan 2018 sedangkan PT Solusi Bangun Indonesia, Tbk pada 2013 hingga 2018 mengalami kesulitan keuangan sementara hasil financial ditress, yaitu PT Solusi Bangun Indonesia, belum pada 2013 hingga 2018 sedangkan PT Semen Baturaja (Persero), Tbk pada 2017 dan 2018.

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