scholarly journals Prediksi Kebangkrutan Menggunakan Altman Z-Score dan Zmijewski pada PT Prasidha Aneka Niaga Tbk Periode 2014-2018

2020 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Widya Saviera Putri ◽  
Iwan Setiawan ◽  
Benny Barnas
Keyword(s):  
Z Score ◽  
Financial Report ◽  
Grey Area ◽  
Descriptive Method ◽  
Annual Financial Report ◽  
Altman Model

The growth of the company listed on the IDX is experiencing the highest achievement as the most listed exchange of IPO in the ASEAN region. The fluctuation of the profit generated by PT. Prasidha Aneka Niaga Tbk. which tends to suffer losses in the year of research, the research aims to predict bankruptcy at PT. Prasidha Aneka Niaga Tbk. using the Altman Z-Score and Zmijewski method. The method of study that was used is a descriptive method. The data used is based on the annual financial report. The results showed that bankruptcy predictions using the Altman model of the company's Z-Score were in the grey area and had potential bankruptcy category. While bankruptcy predictions using Zmijewski the company is in a healthy category. Based on the said calculations, the company has produced different results, but judging from the ratio of each model the company is in position of vigilant bankruptcy.

scholarly journals Analisis Dengan Menggunakan Metode Altman Z- Score, Springate (S-Score) Dan Zmijewski Sebagai Signaling Kebangkrutan Pada Perusahaan Manufaktur Sektor Otomotif Yang Terdaftar Di Bei Periode 2015-2017

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Agnes Mega Widiastuti
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Automotive Sector ◽  
Manufacturing Companies ◽  
Z Score ◽  
Financial Report ◽  
Grey Area ◽  
Score Method ◽  
Method Analysis ◽  
Annual Financial Report

he purpose of this study was to determine the predictions of bankruptcy in the Automotive Sector Manufacturing Companies listed in Indonesia Stock Exchange for the period 2015-2017 based on the results of the Altman Z-score, Springate (S-score) and Zmijewski method analysis. This study uses secondary data, it was the annual financial report of the Automotive Sector Manufacturing Company for the period 2015-2017 using the technique of documentation and analyzed by the Altman Z-score method, Springate (S-score), and Zmijewski. The final results of this study indicate that there is a difference in the percentage of bankruptcy rates of each company from each method used. The results of the prediction of the Altman Z-score bankruptcy method, it was the bankrupt category of 25.00%, the non-bankrupt category of 8.33% and the grey area category of 66.67%. The prediction results of Springate (S-score) bankruptcy method, it was the bankrupt category of 66.67%, and the non-bankrupt category of 33.33%. The prediction results of Zmijewski bankruptcy method, it was the bankrupt category of 8.33%, and the non-bankrupt category by 91.67%.

scholarly journals Prediksi Kebangkrutan pada Bank BUMN dengan Menggunakan Metode Altman Z-Score Modifikasi Periode 2019

2020 ◽  
Vol 1 (1) ◽  
pp. 83-95
Author(s):  
Nita Kurniasih ◽  
Muhamad Umar Mai ◽  
Lili Masli
Keyword(s):  
Research Method ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Z Score ◽  
Financial Report ◽  
Analysis Techniques ◽  
Grey Area ◽  
Research Period ◽  
Annual Financial Report

The purpose of this research is to predict the possibility of bankruptcy occur in company. The sample in this research used four state-owned banks, namely Bank BRI, Bank BNI, Bank Mandiri dan Bank BTN. The research method used is descriptive analysis techniques and tool used in predicting bankcruptcy is by using model Altman Z-Score modification. The research period used is the period 2019 with secondary data obtained from the annual financial report of state-owned bank. The result of this research conclude that all of four state-owned banks are in the grey area for the 2019 period because the value of the Z-Score obtained is between 1,10 and 2,90.

scholarly journals Analisis Prediksi Risiko Kebangkrutan Berdasarkan Nilai Aset dan Liabilitas Menggunakan Metode Altman Z-Score: Studi Kasus Jiwasraya (Periode 2014, 2015, 2016, 2018, dan 2019)

2021 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
Roufan Hirqoni Araniri ◽  
Angelita Buulolo ◽  
Tarikh Luthfi Simanjuntak ◽  
Jordan Ahmad Yasir ◽  
Dewi Hanggraeni
Keyword(s):  
Financial Distress ◽  
Financial Statements ◽  
Analysis Tool ◽  
Z Score ◽  
Bankruptcy Risk ◽  
Financial Report ◽  
Grey Area ◽  
Score Analysis ◽  
Edge Based

Jiwasraya is on the incisive edge. Based on 2019 Jiwasraya financial report, Jiwasraya’s ratio of solvency reached -18886.10% as of December 2019. By using the value of Jiwasraya's assets and liabilities based on the Jiwasraya Financial Statements for five periods (2014, 2015, 2016, 2018, 2019), the author used the Altman Z-Score analysis tool to measure the risk of Jiwasraya's bankruptcy. From the calculations using the Altman Z-Score, it can be concluded that Jiwasraya's Altman Z-Score is in the category of bankruptcy risk in 2014, 2018 and 2019 periods, while in 2015 and 2016, Jiwasraya's Altman Z-Score is in Grey area or it can be interpreted that Jiwasraya experienced financial distress in the 2015 and 2016 periods while there is still a possibility to avoid potential bankruptcy and the possibility of bankruptcy with the same magnitude.Keywords: Jiwasraya, Altman Z-score, kebangkrutan, Aset, Liabilitas.

scholarly journals PREDIKSI KEBANGKRUTAN DENGAN METODE ALTMAN Z-SCORE, SPRINGATE DAN ZMIJEWSKI PADA PERUSAHAAN DELISTING DI BURSA EFEK INDONESIA (BEI)

2018 ◽  
Vol 10 (1) ◽  
pp. 8-15
Author(s):  
Anggita Prameswari ◽  
Irni Yunita ◽  
Muhammad Azhari
Keyword(s):  
Stock Exchange ◽  
Sampling Technique ◽  
Quantitative Approach ◽  
Z Score ◽  
Probability Sampling ◽  
Financial Report ◽  
Purposive Sampling ◽  
Time Period ◽  
Descriptive Method

This research aimed to understand how to use of the Altman Z-Score, Springate, and Zmijewski methods, to predict bankruptcy and help to analyze companies that have been delisted from Indonesian Stock Exchange in time period of 2011–2015. This research used descriptive method with quantitative approach. The population used in this research are companies that have been delisted in time period of 2011-2015, using the financial report from three years before the companies delisting from Indonesian Stock Exchange. Non-probability sampling with purposive sampling technique were used, with nine companies that have been delisted from Indonesian Stock Exchange. The result showed that there are different prediction from each methods. Most delisting companies are predicted to bankrupt at least one of the methods.

scholarly journals ANALISIS PREDIKSI FINANCIAL DISTRESS MENGGUNAKAN MODEL ALTMAN Z-SCORE, ZMIJEWSKI, SPRINGATE PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)

INOVATOR ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 43
Author(s):  
Ahmad Suryaman ◽  
Immas Nurhayati ◽  
Diah Yudawati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Z Score ◽  
Financial Report ◽  
Report Data ◽  
Annual Financial Report

The main purpose of this research is to analyze or predict the level of financial distress at PT. Indocement Tunggal Prakarsa Tbk and PT. Astra International Tbk uses several methods namely altman, zmijewski and springate. The annual financial report data used in this study is secondary dataobtained from the Indonesia Stock Exchange. The results showed, when tested using the method of Altman and Zmijewski, the two companies condition are in non-financial distress, but when tested using Springate method, in 2013 – 2016, PT. Astra International Tbk indicated in financial distress condition.

ANALISA KESEHATAN KEUANGAN PERUSAHAAN UNTUK MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN DENGAN MENGGUNAKAN METODE ALTMAN (STUDI KASUS PADA PERUSAHAAN MANUFAKTUR SEKTOR KOMPONEN OTOMOTIF YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011 – 2015)

2019 ◽  
Vol 13 (2) ◽  
pp. 55
Author(s):  
Indar Khaerunnisa ◽  
Edy Cahyadi
Keyword(s):  
Motor Vehicle ◽  
Stock Exchange ◽  
Secondary Data ◽  
Z Score ◽  
Financial Ratio ◽  
Average Value ◽  
Automotive Components ◽  
Grey Area ◽  
Financial Ratio Analysis ◽  
Year 2013

The Indonesian government has set the motor vehicle industry as one of the priority industries of the national interest, economic growth, and increased productivity. In order for the survival of a company is maintained, then the management should be able to maintain or even more spur increased performance. Various analyzes were developed to predict the beginning of the bankruptcy of the company. One analysis is widely used today is the analysis of Altman Z-Score, which this analysis refers to the financial ratios of the company. The purpose of this study was to analyze the bankruptcy of the automotive components companies that go public in Indonesia Stock Exchange year period 2011–2015. This study used a sample of four companies from the automotive components sector. Source of data is done by using secondary data. The data is processed by the method of the Z-score formula Z = 1,2X1 + 1,4X2 + 3,3X3 + 0,6X4 + 0,999X5. With the description of Z < 1,8 the company categorized into unhealthy/will be bankrupt, the value Z 1,8 < 2,99 the company is considered to be in the uncertain/grey area and the value of Z > 2,99 then the company is in a very healthy. In general, the results of these studies indicate that the four automtive components companies namely PT Astra Otoparts year 2011 value of Z = 14,67 year 2012 value of Z = 10,88 year 2013 value of Z = 13,90 year 2014 value of Z = 10,54 year 2015 value of Z = 4,94, PT Gajah Tunggal year 2011 value of Z = 5,72 year 2012 value of Z = 4,75 year 2013 value of Z = 3,10 year 2014 value of Z = 2,79 year 2015 value of Z = 1,58 and the average value of 2011-2015 periode Z = 3,59, PT Goodyear Indonesia year 2011 value of Z = 2,07 year 2012 value of Z = 2,44 year 2013 value of Z = 2,57 year 2014 value of Z = 2,02 year 2015 value of Z = 2,76, PT Indomobil Sukses Internasional year 2011 value of Z = 6,19 year 2012 value of Z = 3,99 year 2013 value of Z = 3,17 year 2014 value of Z = 2,59 year 2015 value of Z = 1,74. The average value 2011-2015 period showed 3 companies are in very healthy state and 1 company is in the uncertain/grey area. Keywords: Financial Ratio Analysis, Analysis of bankruptcy, Altman Z-Score Analysis, Automotive Components Company, Go Public.

ANALISIS INDEX ALTMAN Z-SCORE DALAM MEMPREDIKSI KONDISI FINANCIAL DISTRESS (Studi Empiris Perusahaan Properti dan Real Estate Sub Sektor Perhotelan Tahun 2012-2017)

Kinerja ◽  
2018 ◽  
Vol 1 (01) ◽  
pp. 48-57
Author(s):  
Maryam Dunggio ◽  
Nur Aufa Mufidah
Keyword(s):  
Real Estate ◽  
Financial Distress ◽  
Z Score ◽  
Grey Area

Penelitian ini bertujuan untuk menganalisis Index Altman dalam memprediksi kondisi financialdistress pada perusahaan properti dan real estate tahun 2102-2017. Metode penelitian yangdigunakan adalah Altman Z-score. Teknik pengumpulan data yang dilakukan secara sekunderyaitu data yang diperoleh dari laporan keuangan tahunan yang dipublikasikan oleh setiapperusahaan. Hasil yang diperoleh dalam penelitian ini menunjukkan bahwa pada tahun 2012terdapat 2 perusahaan yang mengalami zona aman dan 8 perusahaan mengalami financial distress,tahun 2013 terdapat 2 perusahaan mengalami zona aman dan 1 perusahaan grey area dan 7perusahaan financial distress, tahun 2014 terdapat 2 perusahaan zona aman dan 8 perusahaanfinancial distress, tahun 2015 terdapat 2 perusahaan mengalami zona aman dan 8 perusahaanfinancial distress, tahun 2016 terdapat 2 perusahaan zona aman, 1 grey area dan 7 financialdistress, tahun 2017 terdapat 2 zona grey area dan 8 mengalami financial distress

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