scholarly journals Metode Altman Z-Skor Dalam Memprediksi Kepailitan Di Semua Koperasi Kredit Di Kabupaten Maumere

2020 ◽  
Vol 21 (01) ◽  
Author(s):  
Yoseph Darius Purnama Rangga ◽  
Henrikus Herdi ◽  
Wilhelmina Mitan
Keyword(s):  
Secondary Data ◽  
Credit Union ◽  
Bankruptcy Prediction ◽  
Regional Government ◽  
Financial Health ◽  
Z Score ◽  
Analytical Technique ◽  
Gray Area ◽  
Credit Cooperatives ◽  
Score Model

Abstract Problems that often occur in a cooperative are usually caused by financial problems. To measure the level of financial health cooperatives can be used analysis of financial ratios using the Altman Z-Score model. This research aims to predict bankruptcy in the credit Union of the regional government Puskopdit, Maumere, using the Altman Z-Score model. The samples in this study were credit cooperatives of the main district Puskopdit in 2015-2017 consisting of 16 cooperatives. The data source used is the secondary data in the form of cooperative financial statements. The analytical technique used is the Altman Z-Score Bankruptcy Prediction model. The results showed that there is a cooperative that has been in the healthy category during the year 2015-2017, namely Torch Mas Cooperative, Tuke Jung, Ortal, Plantation, star East, and Serba Te. In the years 2015 and 2016 Kelubagolit cooperatives entered in the category of gray area, but in the year 2017 the cooperative is in a healthy category. In addition, there are cooperatives during the year 2015-2017 in the category of gray area namely Sube Huter Cooperative, Tuke Ler, Hiro Heling, Bina Pertiwi, and Surya Sakti. The cooperatives of San Dominggo in 2015 and 2016 were in the category of bankruptcy, but the following year entered the gray area category. The cooperative in the category of bankruptcy from 2015-2017 is the youth cooperative Hokeng and Ankara. In the year 2015 Plelu Meluk Cooperative entered in the category of gray area, the cooperative's performance continued to decline and in the year 2016 and 2017 the cooperative was entered in the category of bankruptcy. In the years 2018, Hokeng Youth Cooperative experienced an amalgamation with Mitan Gitan Cooperative. This indicates that the accuracy level of the Altman Z-Score model is high..

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 Analisis Potensi Kebangkrutan: Perbandingan Model Altman dengan Zavgren

PERSPEKTIF ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 447-452
Author(s):  
Wardayani Wardayani ◽  
Azhar Maksum
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Identification Problem ◽  
Bankruptcy Prediction ◽  
Logit Analysis ◽  
Z Score ◽  
Gray Area ◽  
Financial Difficulties ◽  
Score Model ◽  
Analysis Models

This study is aimed to compare two methods to determine the potential for bankruptcy of the company. The method used is the Altman (Z Score) and Zavgren (Logit Analysis) models. The Z Score model is a method to predict the financial difficulties, where the score value on the Altman Z Score classifies whether a company being bankrupt or not. Zavgren developed bankruptcy prediction model with Logit Analysis which divide bankruptcy classifications. The identification problem in this research are the decline in profits occurred from the end of 2016 until 2018, and the mismatch of the increase in profits to the increase the number of assets in the Cosmetics Company, through the use of secondary data from the Indonesia Stock Exchange of companies with code MRAT, KINO, TCID, dan MBTO. Thus, the financial state of cosmetics companies listed on the Indonesia Stock Exchange (BEI) during the 2016 to2018, according to the Altman Z Score model can be categorized into 2 criteria, they are: Gray Area; MBTO and Sound Area: MRAT, KINO and TCID. Meanwhile, based on the Zavgren model, MRAT, KINO, TCID and MBTO were declared as Sound.

ANALISIS PREDIKSI KEBANGKRUTAN MENGGUNAKAN MODEL ALTMAN Z- SCORE DAN ZMIJEWSKI PADA PERUSAHAAN KOSMETIK YANG TERDAFTAR DI BURSA EFEK INDONESIA

2020 ◽  
Vol 5 (1) ◽  
pp. 24-33
Author(s):  
Dewi Oktary
Keyword(s):  
Quantitative Data ◽  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
The Other ◽  
Z Score ◽  
Gray Area ◽  
Score Method ◽  
Data Source ◽  
Score Model

Increasingly intense competition in the cosmetics industry in Indonesia, one of which is the number of artists opening a cosmetics business and besides the entry of many cosmetics brands from abroad which makes existing cosmetic companies must be careful in running their business. This study aims to predict the bankruptcy of cosmetics companies listed on the Indonesia Stock Exchange with the Altman Z-Score model and the Zmijewski model. The sample in this study was cosmetic companies listed on the Main Board of the Indonesia Stock Exchange as many as 4 companies. The data source used is secondary data taking data from the IDX, the type of data used is quantitative data. The result of this research is bankruptcy prediction using the Altman-Z Score method showing that PT. Martino Berto, Tbk for 2016 is included in the Gray Area category while in 2017-2018 it is predicted to go bankrupt while for PT. Mustika Ratu, in 2016 - 2018 entered the Gray Area category while the other two companies namely PT. Mandom Indonesia, Tbk and PT. Unilever, Tbk from 2016 to 2018 is predicted not to go bankrupt. Meanwhile, using the Zmijewski method in cosmetics companies listed on the Indonesia Stock Exchange in the period 2016-2018 is predicted not to go bankrupt. From the comparison between the Altman Z-Score model and the Zmijewski model, the Zmijewski model has an effectiveness of 100% compared to the Altman Z-Score model which has an effectiveness level of 50%.

scholarly journals ANALISIS TINGKAT AKURASI MODEL ALTMAN Z-SCORE, INDEKS KEPAILITAN, DAN INDEKS IN05 SEBAGAI PREDIKTOR KEBANGKRUTAN PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2011-2015

Jurnal Ecogen ◽  
2018 ◽  
Vol 1 (4) ◽  
pp. 197
Author(s):  
Diana Novita
Keyword(s):  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Total Sample ◽  
Bankruptcy Prediction ◽  
Manufacturing Companies ◽  
Z Score ◽  
Sample Test ◽  
Score Model ◽  
Post Hoc

This study discusses the use of bankruptcy prediction model that does not exist applied in Indonesia and determine the accuracy of each model. The research objective is to analyze the differences in outcome prediction and know the model that has the best accuracy level between the model Altman Z-Score, Bankruptcy Index, and IN05 Index. This type of research is a comparative study, the population of all manufacturing companies listed on the Indonesia Stock Exchange in 2011 to 2015. The sample is determined by purposive sampling method so acquired 28 companies, and the total sample is 140 years old company. Data used is secondary data obtained from the official website of Indonesia Stock Exchange (www.idx.co.id). The analytical method used is the analysis of different test-independent k-sample test, descriptive statistics and the accuracy of the model using post hoc test and the type of error. The results show that: 1) there are significant differences between the model of the Altman Z-Score model Insolvency Index, and models IN05 index on manufacturing companies listed on the Stock Exchange. 2) The model has the best accuracy by post hoc test is a model of the Altman Z-Score and by type of error is the most accurate models are models IN05 index.Keywords: Altman Z-Score, Insolvency Index, IN05, Bankruptcy

scholarly journals ANALISIS PREDIKSI KEBANGKRUTAN MENGGUNAKAN MODEL ALTMAN Z-SOCRE DAN MODEL INTERNAL GROWTH RATE

2018 ◽  
Vol 1 (1) ◽  
pp. 18-25
Author(s):  
Dian Safitri ◽  
Dina Fitri Septarini
Keyword(s):  
Growth Rate ◽  
Empirical Study ◽  
Stock Exchange ◽  
Secondary Data ◽  
Analytical Techniques ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Rate Model ◽  
Research Objects ◽  
Score Model

Analysis of Bankruptcy Prediction Using Altman Z-Score Model and Internal Growth Rate Model An Empirical Study on Delisting Companies from Indonesia Stock Exchange Year 2012-2015. This study aims to predict bankruptcy using the Altman Z Score model and the Internal Growth Rate model in delisting companies from the Indonesia Stock Exchange in 2012-2015 and to find the most appropriate model in predicting bankruptcy.The number of companies studied were 12 companies delisted from the Indonesia Stock Exchange 2012-2015 with a year of observation for 3 years before delisting, so that the object of research selected as many as 36 objects of research, with the object that can be studied as many as 24 research objects. The data used is secondary data. Analytical techniques used are Altman Z-Score model and Internal Growth Rate model.Results from 24 objects of the research using modification Altman Z-Score model there are 10 objects that fall into the category of bankruptcy. While using the Internal Growth Rate model there are 12 companies that fall into the category of bankruptcy. From the results of the analysis can be seen that the model of Internal Growth Rate is more appropriate and easier to use to shave bankruptcy of 12 companies delisting from the Indonesia Stock Exchange.   Keywords: Altman Z-Score, Internal Growth Rate, and Prediction of bankruptcy.

scholarly journals MENILAI KESEHATAN KEUANGAN MITRA DALAM ANALISIS KELAYAKAN PEMBERIAN MODAL MENGGUNAKAN METODE Z-SCORE

2021 ◽  
Vol 7 (2) ◽  
pp. 245-254
Author(s):  
Aries Maesya ◽  
Evi Sopiani
Keyword(s):  
Financial Statements ◽  
Financial Health ◽  
Z Score ◽  
Gray Area ◽  
A Value ◽  
Financial Soundness ◽  
Score Method ◽  
Score Model ◽  
The Right ◽  
The Relationship

ABSTRAKTujuan penelitian ini adalah menilai kesehatan keuangan mitra menggunakan metode Z-Score untuk memprediksi kesehatan keuangan mitra atau calon debitur. Subjek penelitian ini di tiga mitra atau nasabah dari PT Mitra Bisnis Keluarga Ventura dari sektor manufaktur dan perdagangan. Penelitian ini adalah penelitian kualitatif deskriptif. Metode analisis data menggunakan model Altman Z-Score dengan menganalisis laporan keuangan nasabah PT Mitra Bisnis Keluarga Ventura dari tiga periode atau lebih. Berdasarkan hasil penelitian yang dilakukan, Data Mitra A dikategorikan sehat dengan Z-Score 3,80, Data Mitra B dikatakan tidak sehat dengan nilai 0,52 dan Data Mitra C dikatakan Grey Area karena memiliki angka di bawah 2,60, yaitu 2,33. Hasil penelitian ini mengimplikasikan bahwa Keterkaitan antara Metode Z-Score dengan hasil keputusan tingkat kesehatan keuangan cukup membantu dalam menganalisis laporan keuangan dan dapat menghasilkan keputusan yang tepat dalam menilai kesehatan keuangan mitra. ABSTRACTThe purpose of this study is to assess the financial health of partners using the Z-Score method to predict the financial health of partners or prospective debtors. The subjects of this study were three partners  of PT Mitra Bisnis Keluarga Ventura from the manufacturing and trading sectors. This research is a descriptive qualitative research. The data analysis method uses the Altman Z-Score model by analyzing the financial statements of PT Mitra Bisnis Keluarga Ventura customers from three or more periods. Based on the results of the research conducted, Partner A's data is categorized as healthy with a Z-Score of 3.80, Mitra B's data is said to be unhealthy with a value of 0.52 and Partner C's data is said to be gray area because it has a number below 2.60, which is 2.33. The results of this study imply that the relationship between the Z-Score method and the results of financial soundness decisions is quite helpful in analyzing financial statements and can produce the right decisions in assessing the financial health of partners.

scholarly journals ANALISIS PREDIKSI KEBANGKRUTAN MENGGUNAKAN MODEL ALTMAN Z-SCORE PADA PT EXPRESS TRANSINDO UTAMA (TAXI), TBK

2021 ◽  
Vol 1 (1) ◽  
pp. 36-44
Author(s):  
Anugrahwati Ariatma
Keyword(s):  
Secondary Data ◽  
Financial Statements ◽  
Analytical Tool ◽  
Operating Costs ◽  
Z Score ◽  
Financial Problems ◽  
Gray Area ◽  
A Value ◽  
Data Source ◽  
Score Model

This study aims to determine and analyze bankruptcy predictions at PT Express Transindo Utama (TAXI) Tbk using the Altman Z-score model, whether PT Express Transindo Utama (TAXI) Tbk is experiencing symptoms of financial problems and is in the bankrupt category or is included in the non-bankrupt category based on interpretation of the Altman Z-score model. The type of data used in this research is quantitative and the data source used is secondary data. The analytical tool in this study using the Altman Z-score model. From the results of the analysis based on calculations that have been carried out on the financial statements of PT Express Transindo Utama (TAXI) Tbk in 2015 and 2016 the company is included in the gray area category because the Z-score shows a value of 1.1 <Z <2.6. But in 2017 and 2018 the Z-score shows a Z value <1.1, so the company is in the bankrupt category or the company is experiencing serious financial problems. This is due to the larger current debt of the company compared to the current assets of the company as well as the less than maximum revenue earned and the large operating costs of the company. Companies can overcome this by reducing debt and increasing revenue.

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%.

Altman Z-Score Model Effects of Non-Performing Assets (NPAs) in Public and Private Bank In India

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 1431-1437
Author(s):  
Krishna Murari Chaturvedi ◽  
Mohit Mehta
Keyword(s):  
Private Sector ◽  
Banking Sector ◽  
Emerging Market ◽  
Secondary Data ◽  
Market Model ◽  
Financial Health ◽  
Z Score ◽  
Private Bank ◽  
Public And Private ◽  
Score Model

The study aims to measure the effectiveness of Altman's Z-score model using Non-Performing Assets (NPA) as a level fixture index. Paper examines if Altman's Z-score model captures the decline in the financial health of the banks caused by the NPAs. The sample size is taken in selected two public (CBI & PNB) & two private sector banks (ICICI & HDFC). The study is based on secondary data & data will be collected for the last five years 2014 to 2018. The findings of this paper suggest that, due to the uniqueness of the Indian banking sector during the NPA crisis, the 'Emerging Market Model' does not produce any significantly better results. Therefore, there is a future scope to develop a tailor-made model suitable to the Indian Banking sector.

scholarly journals PENERAPAN MODEL ALTMAN Z-SCORE DALAM MENGUKUR POTENSI KEBANGKRUTAN (STUDI KASUS PADA PERUSAHAAN PERBANKAN BUMN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2018 & 2019)

2021 ◽  
Vol 7 (1) ◽  
pp. 148-158
Author(s):  
Rofinus Leki Rofinus Leki
Keyword(s):  
Financial Performance ◽  
Performance Improvement ◽  
Financial Distress ◽  
Safe Zone ◽  
The Other ◽  
Financial Health ◽  
Z Score ◽  
Gray Area ◽  
Sustainability Research ◽  
Score Model

Abstract: This   research   is   a   sustainability   research,   which   uses   the   same   non- manufacturing Altman Z-Score model, with the aim of re-examining the financial health sustainability of the four BUMN banks that the author has studied in 2017 and in 2019. The four BUMN banks are Bank Negara Indonesia (Persero) Tbk PT, Bank Rakyat Indonesia (Persero) Tbk. PT, Bank Tabungan Negara (Persero) Tbk PT,  Bank  Mandiri  (Persero)  Tbk  PT.  The  results  showed  that  PT.  Bank  BTN (Persero) Tbk has a Z-score that has improved in 2018 and 2019, compared to previous years, namely in 2014, 2015, 2016, and 2017. Currently PT. Bank BTN (Persero) Tbk., has moved from the potential financial distress into a "gray area" (improving). Meanwhile, the other three BUMN banks are consistently in the gray area category with a Z-score above 1.2 but below a Z-score of 2.9. The results of this study also show that there is a significant financial performance improvement in every BUMN banking company, but has decreased somewhat in 2019  at Bank BNI (Persero), Tbk. PT and Bank BRI (Persero) Tbk.PT. Be expected is   that   with   the   continuous   and   consistent   improvement   in   financial performance, the financial health position of BUMN Banking (Persero) Tbk can immediately move to the "safe zone".   Keywords: Financial Health of BUMN Banks, Altman Z-Score Model

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