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Smartfren Telecom Tbk. is one of the telecommunications companies in Indonesia. The company has experienced losses in the last seven periods, from 2017 to 2023. It is feared that this condition will result in a high risk of a company experiencing financial distress or even bankruptcy. This research aims to find out, describe and explain the results of applying the analysis of the financial distress prediction model, namely the Altman Z”-Score model which is used to assess and predict potential bankruptcy with research objects at PT. Smartfren Telecom Tbk for the 2017-2023 period. The method used in this research is a descriptive method using a qualitative approach, and the operational variables used are independent variables, namely a bankruptcy prediction model with the dependent variable being financial ratios. The data used is secondary data in the form of PT's annual financial report. Smartfren Telecom Tbk for the 2017-2023 period. Results of financial distress analysis using the Altman Z”-Score model at PT. Smartfren Telecom Tbk for the 2017-2023 period, shows that the company is in a state of distress because the average Z"-Score value is -2.9 or Z < 1.1. This research shows that analysis of bankruptcy or financial distress using the Altman Z"-Score model at PT. Smartfren Telecom Tbk for the 2017-2023 period concluded that the company was in a state of distress.

Share prices experience fluctuations that occur every year in banking companies listed on the Indonesia Stock Exchange in the 2019-2023 period. This research aims to determine the effect of Working Capital to Total Assets, Retained Earnings to Total Assets, Earnings Before Interest and Taxes to Total Assets, and Market Value Equity to Total Liabilities on Share Prices in Banking Companies listed on the Indonesia Stock Exchange for the 2019-2023 period. . The population of the Indonesian Stock Exchange is 47 companies. The samples taken in this research were 9 banking companies using purposive sampling technique. The analytical tool used is multiple linear analysis which was tested using Statistical Product and Service Solution (SPSS) version 26. The results of this research show that Working Capital to Total Assets has a negative effect on Stock Prices, Retained Earning to Total Assets has a positive effect on Stock Prices , while Earnings Before Interest and Taxes to Total Assets and Market Value Equity to Total Liabilities have no effect on share prices.

Analysis of financial distress is carried out to identify early signs of financial difficulties experienced by the company. Determining the number of samples used the purposive sampling method. The type of data used is secondary data obtained from the source www.idx.co.id. The analytical method used is statistical analysis consisting of descriptive statistical analysis, multiple linear regression analysis, classical assumption testing, and hypothesis testing. The results of partial hypothesis testing stated that liquidity measured by the current ratio had no significant effect on financial distress with a tcount value of 2.010 > ttable 1.70562 and liquidity measured by the quick ratio had no significant effect on financial distress with a tcount value of -0.027 < ttable 1.70562. while profitability measured by return on assets has a significant effect on financial distress with a value of tcount 5.453 > ttable 1.70562 and profitability measured by return on equity has no significant effect on financial distress with a value tcount < ttable or 1.201 < 1.70562. The research results of simultaneous hypothesis testing stated that liquidity and profitability simultaneously had a significant effect on financial distress with a value of fcount > ftable or 16.355 > 2.98. The research results show that the coefficient of determination (Adjusted R Square) is 0.679, which means that the influence of the liquidity and profitability variables on financial distress is 67.9%.

The purpose of this study was to determine the causes of bankruptcy in broiler farms using the Altman Z-Score method using financial statements for the 2017-2019 period. This research was conducted from August to September 2021, this research was conducted by conductibf interviews with the Company Owner. The type of research used is descriptive quantitative research, namely by collecting, classifying, analyzing and interpreting the data obtained from the company so that it can provide an overview of the actual situation. The method used by researchers for data collection is by interview and documentation. The results showed how to overcome bankruptcy based on financial data, the company had total debt which was one of the causes of the company going bankrupt and another reason the company closed because in 2019 the price of chicken decreased. Factors causing the decline in broiler prices in 2019 were due to oversupply from broiler chickens, oversupply from Day Old Chicks (DOC), a decrease in people's purchasing power and distribution channels that were disrupted due to the issue of the cartel mafia.    

The Altman Z-Score method is used in this research to determine the level of bankruptcy of PT. Sri Rejeki Isman Tbk from 2013 to 2022. Secondary data used in this research is in the form of company financial reports. In this research the data source was obtained from the financial reports of PT. Sri Rejeki Isman Tbk is listed on the Indonesia Stock Exchange (BEI). The five variables used in the Altman Z-Score method are working capital/total assets (X1), retained earnings/total assets (X2), earnings before interest and taxes/total assets (X3), and sales/total assets (X5). The results of this research indicate that the Altman Z-Score method can be applied to predict the possibility of company bankruptcy. The results of this analysis show that PT. Sri Rejeki Isman Tbk is predicted to experience bankruptcy in 2021-2022. This is indicated by the Z-Score value being below 1.8, which means that financial difficulties are very large and the risk is high. In 2018-2020 the company is predicted to be prone to bankruptcy and is marked with a value of 1.81 < Z-Score < 2.99.

This research aims to determine the level of company bankruptcy using the Altman Z-Score model. Company PT. Wijaya Karya (Persero) Tbk from 2013 to 2022. This research uses secondary data in the form of quantitative data. The data source used in this research comes from the financial reports of the company PT. Wijaya Karya (Persero) Tbk which is listed on the Indonesia Stock Exchange (BEI) for the period 2013 - 2022. The Altman Z-Score method uses five variables, namely: Working capital/total assets (X1), Retained earnings/total assets (X2), Profit before interest and taxes/total assets (X3), Market value of equity/book value of debt (X4), and Sales/total assets (X5). The results of this research indicate that the Altman Z-Score model can be implemented in detecting the possibility of bankruptcy in PT companies. Wijaya Karya (Persero) Tbk. The results of the analysis show that the company PT. Wijaya Karya (Persero) Tbk is predicted to experience bankruptcy in 2019 - 2022. This is indicated by a Z-Score value below 1.8, which means very large financial difficulties and high risk. in 2013 - 2018, those who were predicted to be prone to bankruptcy were marked with a Z-Score value of 1.81 < Z-Score < 2.99.

This research aims to determine the level of company bankruptcy using the Altman Z-Score model. Company PT. Wijaya Karya (Persero) Tbk from 2013 to 2022. This research uses secondary data in the form of quantitative data. The data source used in this research comes from the financial reports of the company PT. Wijaya Karya (Persero) Tbk which is listed on the Indonesia Stock Exchange (BEI) for the period 2013 - 2022. The Altman Z-Score method uses five variables, namely: Working capital/total assets (X1), Retained earnings/total assets (X2), Profit before interest and taxes/total assets (X3), Market value of equity/book value of debt (X4), and Sales/total assets (X5). The results of this research indicate that the Altman Z-Score model can be implemented in detecting the possibility of bankruptcy in PT companies. Wijaya Karya (Persero) Tbk. The results of the analysis show that the company PT. Wijaya Karya (Persero) Tbk is predicted to experience bankruptcy in 2019 - 2022. This is indicated by a Z-Score value below 1.8, which means very large financial difficulties and high risk. in 2013 - 2018, those who were predicted to be prone to bankruptcy were marked with a Z-Score value of 1.81 < Z-Score < 2.99.

This study aims to determine the potential bankruptcy of airline companies listed on the Indonesia Stock Exchange using the Altman Z-Score model. This research uses descriptive quantitative methods. This study aims to determine the potential bankruptcy of airline companies listed on the Indonesia Stock Exchange using the Altman Z-Score model. This research uses descriptive quantitative methods. The sample in this study is the financial statements of 3 airline companies listed on the Indonesia Stock Exchange (IDX) for the 2016-2022 period. The data collection technique used in this study used secondary data. The data analysis technique uses the modified Altman Z-Score method. The results of this study show that PT Garuda Indonesia Tbk is in bankruptcy condition in 2016-2021, and in 2022 the company is different in gray area conditions. PT Air Asia Indonesia Tbk for seven years, namely in 2016-2022, was in bankruptcy condition. PT Indonesia Transport & Infrastructure Tbk was in bankruptcy condition in 2016-2021, and in 2022 the company was in a gray area condition..

The aim of this research is to determine the effect of Return on Assets (ROA) and Debt to Equity Ratio (DER) on Financial Distress in Manufacturing Companies in the Consumer Goods Industry Sector for the 2020-2022 period. The measure of Financial Distress used is the Altman Z-score. The method used in this research is descriptive research with a quantitative approach, using multiple linear regression analysis. The population of manufacturing companies in the Consumer Goods industry sector listed on the Indonesian Stock Exchange in 2020-2022 is 201 companies. The sampling technique used was purposive sampling technique, and a sample of 147 companies was obtained. The analysis used was Multiple Linear Regression with data processing tools in the form of SPSS v 19, The results of this research are that the Profitability Ratio proxied by Return on Assets (ROA) has a positive and significant effect on Financial Distress. Meanwhile, Leverage proxied by DER, according to the research results, has a negative and significant effect on Financial Distress.

This research aims to analyze the application of the Altman Z-Score method and the Springate method to predict financial distress at PT Kediri Tani Sejahtera and aims to analyze the comparison of financial distress from the Altman Z-Score and Springate methods before and during the Covid-19 pandemic for the 2018-2022 period. The type of this research is quantitative descriptive research, using the Altman Z-Score and Springate methods. The results of the research show that the Springate model is a reliable model for anticipating possible financial difficulties in businesses based on the two models that have been studied, while the Altman Z-Score model shows that corporations are in a gray state or experienced some minor financial difficulties during 2018-2022.

The air transportation business in Indonesia has experienced a rapid increase seen from the number of airlines established in Indonesia. The increasing number of airlines makes the competition increasingly fierce in building a company. So the company can experience financial difficulties that can lead to bankruptcy. One of the airline companies experiencing financial distress is PT. Indonesia Transport and Infrastructure Tbk. This research aims to analyze and predict the bankruptcy of the company PT. Indonesia Transport and Infrastructure Tbk. This research uses the Altman Z-Score and Springate methods. The data collection technique used in the research is secondary data in the form of PT's annual financial report. Indonesia Transport and Infrastructure Tbk for the 2017-2021 period.       The results of this research state that in 2017 the company experienced distress with a z-score classification of -2.2920 and Springate -0.5127. In 2018 the company experienced distress with a classification of -2.9939 and Springate -0.4330. In 2019 the company experienced distress with a z-score classification of -4.0886 and Springate -0.5974. In 2020 the company experienced distress with a z-score classification of -6.8293 and Springate -0.7776. In 2021 the company experienced distress with a z-score classification of -8.0491 and Springate -0.5821.

This study aims to analyze financial statements to determine the potential for bankruptcy in companies in the transportation and logistics sector using the Altman Z-score, Grover and Zmijewski methods. The research used is quantitative with a descriptive approach. The population used is 28 companies in the transportation and logistics sector. The sample used in this research was 15 companies using purposive sampling technique in taking the sample. Statistical analysis in this study uses the calculation of the company's financial ratios from each bankruptcy method. The data used is secondary data in the form of financial reports obtained from the Indonesian Stock Exchange. The results showed that of the 15 sample companies using the Altman method, 8 were bankrupt, 1 was a gray area, 6 were healthy. Grover's results are 7 bankrupt and 8 healthy and Zmijewski's results are 10 bankrupt, 5 healthy. And of the 15 sample companies, there are 5 companies that have a greater potential for bankruptcy using these three methods.    

The purpose of this study is to determine the financial condition of PT. Hero Supermarket Tbk using the Altman Z-Score, Springate, Zmijewski, and Grover methods for the 2019-2022 period. This type of research is quantitative descriptive research. The sample used in this study was PT. Hero Supermarket Tbk with simple random sampling as its sampling technique. The data used in this study is secondary data, namely financial statements obtained from the Indonesia Stock Exchange. The results of this study show that PT Hero Supermarket Tbk's Altman Z-Score, Springate, and Grover methods for four years on average have the same results, namely in 2019 the company was in good health. Meanwhile, in 2020-2022, PT Hero Supermarket Tbk went bankrupt. Unlike the three methods above, Zmijewski's method in 2019 and 2020 the company was in bankruptcy. But in 2021 and 2022 the company was in good health    

This research aims to identify and analyze financial distress by using the Altman Z-Score methodology to predict the bankruptcy of property and real estate companies listed on the IDX based on the 2019 - 2021 period. The data were obtained from published financial reports by www.idx.coi.id with the period from 2019 to 2021. Research population is property and real estate companies registered with the IDX with a sample of annual financial report data for 3 consecutive years. Data collection techniques with literature study. The results of this research show that in 2019 - 2021 PT Bekasi Asri Pemula Tbk. is in the healthy zone. This is based on the Altman Z-Score criteria, if Z > 2.99 is categorized as a healthy company, if Z is between 1.81 to 2.99 it is categorized a grey area, and if Z < 1.81 it is categorized as the initial company went bankrupt.

This study aims to determine the bankruptcy prediction of PT Acset Indonusa tbk and PT Nusa Kontruksi Enjiniring tbk in 2021 using the Altman Z-Score method. The data source used is secondary data, namely in the form of Published Financial Reports of Companies issued by the Indonesia Stock Exchange. This study uses a quantitative descriptive method. The technique used is the Altman Z-Score bankruptcy prediction model with the calculation results that the two companies are in unfavorable results or a dangerous zone so that the two companies are predicted to experience bankruptcy.

The purpose of this study was to predict the financial difficulties of companies using the Altman Z-Score on companies in the automobile subindustry from 2019 to 2021. This research is qualitative research that uses descriptive methods. The data used in this study is secondary data, namely the financial statements of companies in the car subindustry from 2019 to 2021. The data analysis method used is the Altman Z-Score method by calculating five ratios, namely the ratio of Working Capital to Total Assets (X1), the ratio of Retained Earnings to Total Assets (X2), the ratio of EBIT to Total Assets (X3), the ratio of Market Value of Equity to Book Value of Total Liabilities (X4), and the ratio of Sales to Total Assets (X5). Research findings show that during the 2019-2021 period, there are four companies that are in safe zone conditions, namely PT. Garuda Metalindo Tbk, PT. Indospring Tbk, PT. Multi Prima Sejahtera, and PT. Congratulations. Two companies are in a gray zone condition, namely PT. Astra Internasional Tbk and PT. Astra Otoparts Tbk. Meanwhile, three companies are in crisis zone conditions, namely PT. Gajah Tunggal Tbk, PT. Indomobil Sukses Internasional Tbk, and PT. Prima Alloy Steel Universal Tbk. PT. Indo Kordsa Tbk, in 2019 was in a safe zone condition, in 2020 it was in a gray zone condition, and in 2021 it was in a safe zone condition. PT. Goodyear Indonesia Tbk, in 2019 was in a gray zone condition, in 2020 it was in a crisis zone condition, and in 2021 it was in a gray zone condition. While PT. Multistrada Arah Sarana Tbk, in 2019 was in a crisis zone condition, in 2020 it was in a gray zone condition, and in 2021 it was in a safe zone condition.

Penelitian ini bertujuan untuk melihat lebih jauh perusahaan mana yang sebenarnya masuk ke dalam financial distress dengan menggunakan metode Altman Z-Score dan metode Springate S-Score dan metode yang akurat di antara Altman (Z-Score) dan Springate (S-Score). Metode penelitian ini adalah penelitian kualitatif. Penelitian ini dilaksanakan pada perusahaan subsektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia Tahun 2017-2021. Jenis data penelitian adalah data sekunder. Sumber data yang digunakan adalah financial report atau laporan keuangan tahunan perusahaan. Populasi penelitian ini sebanyak 26 perusahaan makanan dan minuman yang terdaftar di Bursa Efek Indonesia selama periode 2017-2021. Teknik pemilihan sampel menggunakan metode purposive sampling terdapat 4 sampel perusahaan. Teknik pengumpulan data yang digunakan adalah studi dokumen. Metode analisis data yang digunakan adalah analisis deskriptif. Hasil penelitian ini menunjukkan bahwa metode Altman Z-Score diketahui terdapat 1 perushaan yang mengalami kondisi distress, yaitu perusahaan FOOD dengan masing-masing nilai rata-rata 1,107 dan 1 perusahaan yang mengalami kondisi grey area, yaitu perusahaan PCAR. Metode Springate S-Score diketahui terdapat 2 perushaan yang mengalami kondisi distress, yaitu perusahaan FOOD dan PCAR. Model Springate S-Score memiliki tingkat akurasi terbesar dalam memprediksi dan menganalisis financial distress pada subsektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia. Besarnya tingkat akurasi model Springate S-Score yaitu 50%.

Financial distress is a condition whene the company are in a state financial difficultes. Every company must have an early an early warning system to detect the potential for financial distress in order to avoid bankruptcky. The Purpose of this is to analyze and provide empirical evidence regarding the effect profitability (ROA), as a moderating between liquidity (CR), leverage (DAR), sales gowth (SG), in predicting financial distress (Altman Z-Score). The population in this purpose were retail companies on the IDX for the 2016-2020 period, with a sample of 19 companies studied for 5 years so that 95 samples were obtained, using the purposive sampling method. The data used is secondary data in the form of information from the company’s financial statements. The data analysis technique used logistic regression and moderating regretion analysis (MRA). The rsults prove that the variables of liquidity, sales growth and profitability are able to predict financial distress, while leverage cannot predict financial distress, the profitability variable strengthens the influence of liquidity and sales growth in predicting financial distress but weakens leverage in predicting financial distress. The advince given is expected thet the company can increase the effectiveness and efficiency in managing assets and can increase sales so that the profit received by the company increases so that the company can avoid financial distress.

Penelitian ini dilakukan untuk mengetahui kemungkinan terjadinya financial distress pada perusahaan sub sektor transportasi akibat dari adanya dampak pandemic covid-19 pada periode 2020 dengan menggunakan metode Altman Z-Score. Data yang digunakan pada penelitian ini adalah laporan keuangan perusahaan sub sektor transportasi periode 2020 yang diperoleh dari Bursa Efek Indonesia. Penilaian financial distress menggunakan rumus Z-Score Modifikasi atau Model III yang dikemukakan oleh Altman dengan menggunakan 3 kategori kalsifikasi yaitu kategori sehat, rawan atau grey area, dan financial distress. Hasil dari penelitian ini menunjukkan bahwa terdapat 13 perusahaan yang mengalami financial distress, 5 perusahaan berada pada kondisi rawan atau grey area, serta 5 perusahaan yang berada pada kondisi sehat. Variabel-variabel yang digunakan sangat berpengaruh pada hasil perhitungan analisis Altman Z-Score, terutama apabila perusahaan mengalami defisiensi modal maka kemungkinan terjadinya financial distress pada perusahaan juga semakin tinggi.

This study aims to determine the difference in results in predicting bankruptcy using the Altman Z-Score model and the Springate S-Score model, as well as ineasures which model is most accurate in predicting bankruptcy at retail companies at Indonesia. The population used in this study are retail companies listed on the Indonesia Stock Exchange (IDX) for the 2016-2020 period with a sample of 11 companies. The sampling method used in this study was purposive sampling. The data analysis technique used multiple discriminant analysis. The results showed that there were differences in the results in predicting bankruptcy before and during the pandemic. Based on the two measurement methods used, before the pandemic there were 4 companies that were declared bankrupt and 7 companies that were declared healthy. During the pandemic, 8 companies were declared bankrupt and 3 companies were declared healthy. The bankruptcy model that has the highest level of accuracy is the Springate S-Score.