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.

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 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 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.

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 ANALISIS PERBANDINGAN MODEL ALTMAN, MODEL SPRINGATE, DAN MODEL ZMIJEWSKI DALAM MEMPREDIKSI KEBANGKRUTAN BANK SYARIAH DI INDONESIA

2018 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Diyah Santi Hariyani ◽  
Agung Sujianto
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Homogeneity Test ◽  
Islamic Banks ◽  
Z Score ◽  
Accuracy Rate ◽  
Normality Test ◽  
Score Model ◽  
One Way Anova

<p><strong>ABSTRACT</strong><br />The purpose of this research to provide empirical evidence that the Model Altman , Springate , and Zmijewski is the most appropriate model for predicting bankruptcy Islamic Bank in Indonesia . The population in this study are all Islamic banks listed on the Indonesia Stock Exchange . This study uses secondary data from the financial statements of Islamic banks in 2010-2014 . Testing the hypothesis in this study using normality test, homogeneity test, and one way ANOVA test ( different test ) . The results showed that Springate model is the most appropriate model to predict the Islamic banks in Indonesia with an accuracy of 38.00 % , then Model Zmijewski with 28.00 % accuracy rate and Altman with an accuracy of 0.00 % .</p><p><br /><strong>Keywords : Altman Z-Score Model, Springate S-Score Model, Zmijewski X-Score Model.</strong></p>

scholarly journals Analisis Kebangkrutan dengan Model Altman Z-Score pada Perusahaan Sektor Industri Dasar dan Kimia di Bei Periode 2013-2014

2017 ◽  
Vol 26 (01) ◽  
pp. 136-163
Author(s):  
Suci Kurniawati
Keyword(s):  
Financial Distress ◽  
Quantitative Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Z Score ◽  
Manufacturing Company ◽  
Score Model ◽  
Score Index

 The purpose of this study is to analyze the company's financial distress on basis industry and chemical sectors as many as 57 companies using the ALTMAN Z-Score model in 2013-2014. The data which used was secondary data, such as Financial Statements of manufacturing company publication issued by Indonesian Stock Exchange (BEI) and obtained by downloading the website: www.idx.com. This study uses descriptive quantitative method. The finding of Z-Score index in basis industry and chemical sector in 2013 is occupied by PT. Intan Wijaya Internasional Tbk on chemical subsector and 2014 is occupied by PT. Alakasa Industrindo Tbk on metal subsector and others, with the first highest rank and healthy condition, whereas the last and lowest rank on wood and processing sector  in 2013-2014 is PT. SLJ Global Tbk, with having financial distress condition. The findings of this study are not consistent or even  in accordance with the reality which shows that the Altman method can not be used as a tool to indicate a tendency towards company’s financial distress.

scholarly journals RISIKO PERBANKAN DENGAN ALTMAN Z SCORE : KAJIAN PADA BANK YANG TERDAFTAR DI BURSA EFEK INDONESIA

2018 ◽  
Vol 13 (1) ◽  
pp. 1-10
Author(s):  
Poppie Indriyanti
Keyword(s):  
Quantitative Research ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Research Approach ◽  
Z Score ◽  
Gray Area ◽  
Banking Risk ◽  
Conventional Banks ◽  
Value Model

Abstract. This research was conducted to find out banking risk with Altman Z Score on conventional banks listed on Indonesia Stock Exchange. The data used in this study is secondary data obtained from the annual financial statements of conventional banks during the period 2003-2016 contained in the official website of the Indonesia Stock Exchange.The focus of research (research focuses) on the topic that has been studied is the risk of banking based on Altman Z Score. Of the four studies examined, the equation is all research using quantitative research approach. It means to assess the Altman Z-Score in observing banking risk, the quantitative approach is the most appropriate approach.Of the four studies, the results show banking risk with Altman Z Score, from 2003-2016 the banks listed on the Indonesia Stock Exchange are generally in the category of bankrupt. However, Ganesha et al (2012) study shows the Z value model in 2003-2006 can not show a good enough accuracy level when measured per year. Irwansyah's research (2017) shows that in the period 2013-2016, only one bank, namely Bank Jtrust Indonesia Tbk (BCIC bank code) entered into the healthy category. In addition, Bank Mandiri (Persero) Tbk with BMRI bank code, has started to increase from the predicted category of bankruptcy to the prediction of gray area category.

scholarly journals BANKRUPTCY ANALYSIS USING ALTMAN Z SCORE MODEL IN MANUFACTURING COMPANY AT INDONESIA STOCK EXCHANGE IN 2013-2014

2017 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Suci Kurniawati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Financial Statements ◽  
Asia Pacific ◽  
Manufacturing Companies ◽  
Z Score ◽  
Score Model ◽  
Score Index

Analysis of financial distress is very important, because it enables to assess an indication of the company's financial distress, how the indication of financial distress using Altman z-score in industry manufacturing sector in 2013-2014, and whether the Altman z-score model can be used as a tool in predicting the tendency of financial distress. The purpose of this study is to analyze the financial distress of 125 manufacturing companies with different sectors and subsectors using Altman Z-Score model in 2013 and 2014. The source of data used was secondary data, such as financial statements of manufacturing companies’ publication issued by BEI and obtained from the internet by downloading through the website: www.idx.com. This study employed descriptive quantitative method. The findings of the Z-Score index on manufacturing companies in 2013 were occupied by PT. Intan Wijaya International Tbk. in chemical subsector, and in 2014 Herbal and Pharmaceutical Industry of PT Sido Muncul Tbk. was the first highest rank and healthy condition.  Whereas the lowest rank was PT. Asia Pacific Fiber Tbk. in textile and garment sub-sector in 2013 and 2014, having financial distress condition. The findings of this study are not consistent or even in accordance with the reality which shows that the Altman method cannot be used as a tool to indicate a tendency towards company’s financial distress.

scholarly journals ANALISIS KEBANGKRUTAN DENGAN MENGGUNAKAN MODEL ALTMAN(Z-SCORE) STUDI KASUS DI PERUSAHAAN TELEKOMUNIKASI

2017 ◽  
Vol 18 (3) ◽  
Author(s):  
Pasaman Silaban
Keyword(s):  
Secondary Data ◽  
Financial Statements ◽  
Health Condition ◽  
Corporate Management ◽  
Z Score ◽  
Financial Ratio ◽  
Healthy State ◽  
Quantitative Analysis Method ◽  
Score Model ◽  
A Company

The objective of this research is to analyse a company’s bancruptcy by the use of Altman Z-Score model. This study used the descriptive quantitative analysis method. The data used are secondary data, the annual financial statements and income statements of each company. Data were analyzed using four X ratio defined by Altman and were used to calculate the Z score of each company in order to determine its health level. The analysis shows that in 2010 - 2012 the company's health condition was not good. In 2010 the company was in the gray zone, then the next year the company's  condition declined, and in 2012 it was at an unhealthy condition/bankrupt. Telkom is in a healthy state and has increased each year, Indosat is in the unhealthy zone with Z score tends to increase every year. By knowing the health condition of a company, corporate management is able to evaluate each financial ratio and fix the company's financial performance in order to survive and compete.

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