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Journal articles on the topic 'Zmijewski model'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Winarso, Eddy, and T. C. J. Adriandra Edison. "Perbandingan Analisis Model Z”-Score Altman Modifikasi, Model X-Score Zmijewski, Model G-Score Grover, Dan Model S-Score Springate Untuk Menganalisis Ketepatan Prediksi Kebangkrutan." Journal of Accounting, Finance, Taxation, and Auditing (JAFTA) 1, no. 2 (2020): 1–13. http://dx.doi.org/10.28932/jafta.v1i2.2451.

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Penelitian ditujukan untuk membandingkan model prediksi kebangkrutan Z”-Score Altman Modifikasi, X-Score Zmijewski, G-Score Grover,dan S-Score Springate didasarkan pada fenomena yang menunjukan terjadinya kebangkrutan di sektor otomotif. Jenis penelitian menggunakan explanatori untuk menggambarkan model prediksi kebangkrutan yang paling akurat antara model – model prediksi kebangrutan. Populasi penelitian adalah seluruh perusahaan manufaktur sektor industri pelengkap otomotif sebanyak 13 perusahaan yang terdaftar di BEI periode 2016-2017 dengan tidak menggunakan sample. Diolah dengan menggunak

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Sari, Mauli Permata, and Irni Yunita. "ANALISIS PREDIKSI KEBANGKRUTAN DAN TINGKAT AKURASI MODEL SPRINGATE, ZMIJEWSKI, DAN GROVER." JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam) 7, no. 1 (2019): 69. http://dx.doi.org/10.33884/jimupb.v7i1.907.

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Industri logam mengalami pelemahan karena meningkatnya harga industri logam yang diakibatkan dari meningkatnya harga gas, sehingga menyebabkan biaya meningkat yang berpengaruh pada penurunan laba. Bahkan Bank Dunia memprediksi harga gas akan terus mengalami kenaiakan dari 2017 hingga 2030. Tujuan dari penelitian ini untuk mengerahui potensi kebangkrutan pada perusahaan sub sektor logam dan mineral lainnya yang terdaftar di BEI tahun 2012-2016 dengan menggunakan model Springate, Zmijewski, dan Grover. Serta untuk mengetahui tingkat akurasi dari ketiga model tersebut dalam memprediksi kebangkrut

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3

Hariyani, Diyah Santi, and Agung Sujianto. "ANALISIS PERBANDINGAN MODEL ALTMAN, MODEL SPRINGATE, DAN MODEL ZMIJEWSKI DALAM MEMPREDIKSI KEBANGKRUTAN BANK SYARIAH DI INDONESIA." INVENTORY: JURNAL AKUNTANSI 1, no. 1 (2018): 13. http://dx.doi.org/10.25273/inventory.v1i1.2289.

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<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

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4

Kawulur, Hisky Ryan. "Analisis Perbandingan Model Kesulitan Keuangan Studi Pada Bank Bukopin Tbk." E-Jurnal Akuntansi 31, no. 6 (2021): 1541. http://dx.doi.org/10.24843/eja.2021.v31.i06.p15.

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The purpose of this study is to analyze and compare the predictive value of the Altman z-score model of financial distress with the Zmijewski model. The research method used is descriptive quantitative in explaining the phenomena that occur. This study uses data from Bukopin's financial statements for 2018, 2019 and 2020. Data analysis is carried out by calculating the ratio of each model from 2018, 2019 and 2020, then the results of the criteria from the altman z-score model and the zmijewski model are compared and analyzed according to the criteria. The results showed that both the Altman z-

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Muzanni, M., and Indah Yuliana. "Comparative Analysis of Altman, Springate, and Zmijewski Models in Predicting the Bankruptcy of Retail Companies in Indonesia and Singapore." TIJAB (The International Journal of Applied Business) 5, no. 1 (2021): 81. http://dx.doi.org/10.20473/tijab.v5.i1.2021.81-93.

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This study aims to determine whether there is a difference in the prediction results between the Altman, Springate, and Zmijewski models and the most accurate prediction model for predicting the bankruptcy of retail companies in Indonesia and Singapore. This research is descriptive quantitative. The sampling method used was purposive sampling with 15 Indonesian retail companies and 15 Singapore retail companies. This study used descriptive analysis, normality test, and One Way ANOVA test using an SPSS program. The results showed that: 1) There are significant differences between the Altman mod

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6

Hendra, Joni, and Tatik Amani. "Analisis Komparatif Model Altman Z-Score, Springate, Zmijewski Sebagai Alat Ukur Potensi Kebangkrutan." RELASI : JURNAL EKONOMI 16, no. 2 (2020): 405–20. http://dx.doi.org/10.31967/relasi.v16i2.369.

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The study was conducted with the aim to determine the effective measurement of bankruptcy by comparing the Altman (Z-Score), Springate, and Zmijewski methods in the Consumer Goods Industry listed on the Indonesia Stock Exchange (IDX) in 2016 -2018. This type of research is quantitative, with the variable bankruptcy, Altman (Z-Score), Springate, and Zmijewski. This type of research is quantitative, with the variable bankruptcy, Altman (Z-Score), Springate, and Zmijewski. The population of this study is the Consumer Goods Industry sub-sector food and beverages with sample selection using purposi

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7

Masdiantini, Putu Riesty, and Ni Made Sindy Warasniasih. "Laporan Keuangan dan Prediksi Kebangkrutan Perusahaan." Jurnal Ilmiah Akuntansi 5, no. 1 (2020): 196. http://dx.doi.org/10.23887/jia.v5i1.25119.

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This study aims to determine differences in bankruptcy predictions at company’s sub-sector of cosmetics and household listed on the Indonesia Stock Exchange (IDX) using the Altman model, Springate model, Zmijewski model, Taffler model, and Fulmer model, and to determine the bankruptcy prediction model that is the most accurate of the five bankruptcy prediction models. This study uses secondary data in the form of company financial statements for the period 2014-2018. Data analysis techniques in this study used the Kruskal-Wallis test. The results showed there were differences in bankruptcy pre

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8

Husein, M. Fakhri, and Galuh Tri Pambekti. "Precision of the models of Altman, Springate, Zmijewski, and Grover for predicting the financial distress." Journal of Economics, Business & Accountancy Ventura 17, no. 3 (2015): 405. http://dx.doi.org/10.14414/jebav.v17i3.362.

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Financial distress models need to be developed as a model of an early warning system. Such an effort is intended to anticipate the conditions that can lead to the bankruptcy of the company. This study aims to analyze the accuracy of the model of Altman, Springate, Zmijewski, and Grover as the best predictor of financial distress. This research is a quantitative study in which the data were collected by means of a data pool. This is done by using a dummy variable. The sample consists of 132 companies which are listed on the list of Daftar Efek Syariah (DES) in 2009-2012. The analysis isdone by

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Sari, Eka Ratna, and Mochamad Rizal Yulianto. "Akurasi Pengukuran Financial Distress Menggunakan Metode Springate dan Zmijewski pada Perusahaan Property dan Real Estate di Bursa Efek Indonesia Periode 2013-2015." Jurnal Manajemen dan Bisnis Indonesia 5, no. 2 (2018): 276–85. http://dx.doi.org/10.31843/jmbi.v5i2.167.

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Penelitian ini bertujuan untuk mengetahui akurasi model Springate dan model Zmijewski dalam memprediksi kondisi financial distress pada perusahaan property dan real estate di Indonesia, untuk mengetahui model prediksi Springate yang paling akurat dalam memprediksi kondisi financial distress pada perusahaan property dan real estate di Indonesia, dan untuk mengetahui model prediksi model Zmijewski yang paling akurat dalam memprediksi kondisi financial distress pada perusahaan property dan real estate di Indonesia. Penelitian ini membandingkan dua model prediksi financial distress, yaitu model Sp

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Junaidi, Junaidi. "PENGUKURAN TINGKAT KESEHATAN DAN GEJALA FINANCIAL DISTRESS PADA BANK UMUM SYARIAH DI INDONESIA." KINERJA 20, no. 1 (2016): 42. http://dx.doi.org/10.24002/kinerja.v20i1.696.

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AbstrakKondisi ekonomi yang tidak stabil menyebabkan perlunya kehati-hatian stakeholders untuk membuat keputusan ekonomi. Salah satu indikator yang digunakan adalah prediksi kebangkrutan. Tujuan penelitian iniuntuk mengetahui tingkat kesehatan dan kebangkrutan bank Syariah di Indonesia mengunakan model Grover, Altman, Springate dan Zmijewski serta tingkat keakuratannya serta perbedaan dari keempat modeng pengujian tersebut.Penelitian ini mengambil sampel seluruh bank Syariah di Indonesia tahun 2010 – 2014 kecuali Maybank Syariah. Hasil penelitian ini menunjukkan bahwa antara model Grover, Altm

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Nurahayu, Choirunnisa, Evi Yuniarti, and Nurmala Nurmala. "Analisis Model Prediksi Kebangkrutan Altman Z-Score. Springate dan Zmijewski untuk Menilai Kelangsungan Usaha PT Enseval Putera Megatrading Tbk." Jurnal Ilmiah Esai 12, no. 2 (2018): 128. http://dx.doi.org/10.25181/esai.v12i2.1129.

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The economic development of PT EPM Tbk in 2011 to 2016 did not improved, because in 2011 to 2016 the cash flow statement of PT EPM Tbk. decreased. This writing aims to determine the prediction of bankruptcy at PT EPM Tbk with the Altman Z-Score, Springate and Zmijewski Score models to assess the business continuity of PT EPM Tbk from 2011 to 2016. The analysis technique used is the Altman Z-Score bankruptcy prediction model, Springate and the Zmijewski Score for various types of companies. Based on the results of the analysis of the three bankruptcy prediction models Altman Z-Score, Springate

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Dolejšová, Miroslava. "Is it Worth Comparing Different Bankruptcy Models?" Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, no. 2 (2015): 525–31. http://dx.doi.org/10.11118/actaun201563020525.

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The aim of this paper is to compare the performance of small enterprises in the Zlín and Olomouc Regions. These enterprises were assessed using the Altman Z-Score model, the IN05 model, the Zmijewski model and the Springate model. The batch selected for this analysis included 16 enterprises from the Zlín Region and 16 enterprises from the Olomouc Region. Financial statements subjected to the analysis are from 2006 and 2010. The statistical data analysis was performed using the one-sample z-test for proportions and the paired t-test. The outcomes of the evaluation run using the Altman Z-Score m

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Merza Radhi, Deena Saleh, and Adel Sarea. "Evaluating Financial Performance of Saudi Listed Firms: Using Statistical Failure Prediction Models." International Journal of Business Ethics and Governance 2, no. 1 (2019): 1–18. http://dx.doi.org/10.51325/ijbeg.v2i1.20.

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The study aims to compare the classification power of three statistical failure prediction models for evaluating financial performance of Saudi Listed Firms. The study sample consisted of 122 listed industrial companies in the Saudi Stock Exchange for the period from 2014 to 2016. Altman model 1968, Kida model and Zmijewski are used as examples of statistical failure prediction models to evaluate the classification power of the given models to assess the financial performance of firms listed on Saudi Stock Exchange. The results showed that Zmijewski model was more powerful in predicting the fi

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Darmayanti, Novi. "ANALISIS PREDIKSI KEBANGKRUTAN TERHADAP HARGA SAHAM DENGAN MODEL ZMIJEWSKI DAN SPRINGATE (STUDI EMPIRIS PADA PERUSAHAAN SUB SEKTOR PERTAMBANGAN MINYAK DAN GAS BUMI DAN BATUBARA YANG TERCATAT DI BEI TAHUN 2016-2018)." Ekonika : Jurnal Ekonomi Universitas Kadiri 5, no. 2 (2020): 157. http://dx.doi.org/10.30737/ekonika.v5i2.848.

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The mining industry has four types of risks, namely the discovery of uncertainties in the form of oil and gas resources, technological risks associated with uncertainty in costs, market risks associated with price shifts, and the risk of government policies related to domestic prices and tax changes. The purpose of this study was to determine how much influence the prediction of bankruptcy using the Zmijewski (X-Score) and Springate (S-Score) models on the stock price of the company. The sample in this study were oil and gas mining and coal sub-sector companies which were listed on the year 20

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Munjiyah, Munjiyah, and Dwi Artati. "Analisis Prediksi Kebangkrutan dengan Model Altman, Springate, Ohlson dan Zmijewski Pada Perusahaan Food and Beverage di Bursa Efek Indonesia (BEI)." Jurnal Ilmiah Mahasiswa Manajemen, Bisnis dan Akuntansi (JIMMBA) 2, no. 6 (2020): 901–9. http://dx.doi.org/10.32639/jimmba.v2i6.685.

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The purpose of this study was to determine and analyze the prediction of bancrupty are most appropriate for use in its application to the food and beverage company listed on the Indonesia Stock Exchange (BEI) period 2015-2018. The study compared four models of prediction of bancrupty, the Altman, Springate, Ohlson and Zmijewski. Comparisons were made by analyzing the accuracy of each models. Data used in the form of annual financial statements published by the company on the website www.idx.com. The sampling technique is purposive sampling with total sample acquired nine companies. The results

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Krusita, Ni Wayan Yulia, and Ni Luh Putu Wiagustini. "PREDIKSI FINANCIAL DISTRESS MENGGUNAKAN MODEL ZMIJEWSKI DAN MODEL GROVER PADA PERUSAHAAN MIGAS DI BEI." E-Jurnal Manajemen Universitas Udayana 8, no. 5 (2019): 2891. http://dx.doi.org/10.24843/ejmunud.2019.v08.i05.p11.

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The population in this study were seven oil and gas companies on the Indonesia Stock Exchange in 2012-2017. The sampling method used in this study was saturated sampling. This study uses Zmijewski model and Grover model to predict financial distress. The prediction results of financial distress using Zmijewski model in 2012 and 2013 predicts Radiant Utama Interinsco Tbk to experience financial distress, in 2014 predicts that all companies not experience financial distress, in 2015 predict Energi Mega Persada Tbk and Medco Energi Internasional Tbk to experience financial distress, in 2016 predi

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Viciwati, Viciwati. "BANKRUPTCY PREDICTION ANALYSIS USING THE ZMIJEWSKI MODEL (X-SCORE) AND THE ALTMAN MODEL (Z-SCORE)." Dinasti International Journal of Economics, Finance & Accounting 1, no. 5 (2020): 794–806. http://dx.doi.org/10.38035/dijefa.v1i5.608.

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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 accur

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Dewi, Ida Ayu Pradnyandhari, and I. Wayan Ramantha. "Prediksi Kebangkrutan Menggunakan Model Grover, Zmijewski, & Altman Pada LPD di Kabupaten Gianyar Tahun 2013-2017." E-Jurnal Akuntansi 29, no. 3 (2019): 1041. http://dx.doi.org/10.24843/eja.2019.v29.i03.p10.

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LPDs throughout the Gianyar Regency have assets of Rp. 3.6 trillion, but from 2013 to 2017 there were 41 non-operating. This study uses other alternatives besides CAMEL and determines which model has the accuracy between the grover, zmijewski and altman models in predicting LPD bankruptcy. The results showed that in 2013, 2014, and 2016 there were 2 LPDs and in 2015 and 2017 there were 1 LPDs that were predictet bankrupt using the grover model. In 2013 there were 78 LPDs, in 2014 and 2017 there were 76 LPDs and in 2016 there were 77 LPDs that were predicted bankrupt using the zmijewski model.

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Zakiyah, Tuti, and Wahyuni Windasari. "Implementasi Model Finansial Distres Pada Perusahaan Manufaktur Yang Terdaftar di IDX Tahun 2015-2017." Jurnal Ilmiah Akuntansi dan Keuangan 9, no. 1 (2020): 61–74. http://dx.doi.org/10.32639/jiak.v9i1.330.

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Manufacturing Company is a sample of this study, the dependent variable used in this study is a binary variable, namely whether the company is in financial distress or non-financial distress. Hypothesis testing uses binary logistic regression (Binary Logistic Regression) because the dependent variable is a combination of metric and non-metric (nominal). The model used is the Altman Z-Score model, Springate S-Score, Grover G-Score, Zmijewski X-Score, and univariate models. Of the five models, the best model is the Springate S-Score with a Nagelkerke R2 value of 0.582. the second is, Zmijewski X

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Listyarini, Fitri. "ANALISIS PERBANDINGAN PREDIKSI KONDISI FINANCIAL DISTRESS DENGAN MENGGUNAKAN METODE ALTMAN, SPRINGATE, DAN ZMIJEWSKI." Jurnal Bina Akuntansi 7, no. 1 (2020): 1–20. http://dx.doi.org/10.52859/jba.v7i1.71.

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This study aims to: 1) Determine the accuracy of the Altman model, the springate model and the zmijewski model in predicting financial distress conditions in manufacturing companies in Indonesia, 2) To find out the most accurate prediction models in predicting financial distress conditions in manufacturing companies in Indonesia. This study compares three financial distress prediction models, the Altman, Springate and Zmijewski models. The population of this study is the financial statements of manufacturing companies listed on the Indonesia Stock Exchange for the period 2011-2014. The samplin

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Nilasari, Devy, and Mulyo Haryanto. "MEMPREDIKSI PERUSAHAAN YANG BERPOTENSI MENGALAMI MASALAH KEUANGAN DENGAN MODEL ALTMAN, SPRINGATE DAN ZMIJEWSKI (Studi pada Perusahaan Ritel yang Terdaftar di BEI Periode Tahun 2012-2016)." JURNAL STIE SEMARANG 10, no. 1 (2018): 1–16. http://dx.doi.org/10.33747/stiesmg.v10i1.83.

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Penjualan ritel nasional pada periode Januari-Juni 2017 mengalami perlambatan dibandingkan periode yang sama tahun sebelumnya (YoY). Data ritel Nielsen menunjukkan bahwa penjualan ritel nasional di semester I tahun ini hanya tumbuh 3,7 persen dari 10,2 persen. Penelitian ini bertujuan untuk mengetahui model prediksi Financial Distress yang paling sesuai untuk penerapannya pada perusahaan ritel di Indonesia. Studi ini membandingkan tiga model prediksi marabahaya keuangan yaitu model Altman, Springate dan Zmijewski dengan menganalisis keakuratan masing-masing model. Model dengan akurasi tertingg

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Munawarah, Munawarah, Anton Wijaya, Cindy Fransisca, Felicia Felicia, and Kavita Kavita. "Ketepatan Altman Score, Zmijewski Score, Grover Score, dan Fulmer Score dalam menentukan Financial Distress pada Perusahaan Trade and Service." Owner 3, no. 2 (2019): 278. http://dx.doi.org/10.33395/owner.v3i2.170.

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This research purpose to determine the accuracy among Altman, Zmijewski, Grover, and the Fulmer models in predicting financial distress, and to determine the most accurate prediction models to use in Trade and Service company. With the accuracy of the overall prediction model of 89.4%, this research will compare the four prediction models using real conditions of the company. The Data that used in this research are all form of annual financial reports published by companies on the Indonesia Stock Exchange website. The population used is Trade and Service’s company listed on the Indonesia Stock

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Damayanti, Nindya Ayu, N. Nurhayati, and Susanti Prasetyaningtyas. "Analisis Perbandingan Model Prediksi Kebangkrutan Altman Z-Score dan Zmijewski di BEI Periode 2011 - 2015." e-Journal Ekonomi Bisnis dan Akuntansi 6, no. 2 (2019): 171. http://dx.doi.org/10.19184/ejeba.v6i2.11165.

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This study aimed to compare the use of bankruptcy prediction model Altman Z-Score and Zmijewski on delisting companies on the Stock Exchange the period 2011 - 2015. The study population is a company delisting from the Stock Exchange in the period 2011-2015. The sample consists of 7 companies using method. purposive sampling Secondary data used in the form of financial statements of companies that issued from stock for bankruptcy in the period 2011-2015. The data analysis in this research is to perform the calculation of financial ratios in each sample, according to the variables of bankruptcy

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Nurdyastuti, Tri, and Dibyo Iskandar. "ANALISIS MODEL PREDIKSI KEBANGKRUTAN PADA PERUSAHAAN FOOD AND BEVERAGES YANG TERDAFTAR DI BEI 2015-2017." Jurnal Bisnis Terapan 3, no. 01 (2019): 21–36. http://dx.doi.org/10.24123/jbt.v3i01.1981.

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The purpose of study was to test the difference method of altman, method of springate, method of zmijewski and method of grover in predicting bankruptcy on food and beverages companies listed on the indonesia stock exchange period 2015-2017. Hypothesis test using the test tool is one way anova, one way anova kruskal-wallis, mann-whitney test and calculation the level of accuracy predicting method. The test result showed there was a significant difference between method of altman, method of springate, method of zmijewski and method of grovern predicting bankruptcy on food and beverages companie

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Munawarah, Munawarah, and Keumala Hayati. "ACCURACY OF SPRINGATE, ZMIJEWSKY AND GROVER AS LOGISTIC MODELS IN FINDING FINANCIAL DIFFICULTY OF FINANCING COMPANIES." ACCRUALS 3, no. 1 (2019): 1–12. http://dx.doi.org/10.35310/accruals.v3i1.36.

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This study aims to determine both the Springate model, Grover and Zmijewski able to predict the condition of financial distress in finance companies listed on the Indonesia Stock Exchange. And of the three models can be known which model is the most accurate in predicting financial distress. The population in this study are companies in the financing sector listed on the Indonesia Stock Exchange in the period 2013 to 2017 as many as 17 companies. By using purposive sampling technique, a total sample of 85 financing companies was obtained. The data used are secondary data sourced from the compa

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Putri, Hana Tamara, and Muhammad Syukri. "Penggunaan Model Zmijewski dan Model Grover dalam Memprediksi Kesulitan Keuangan pada Industri Otomotif yang Terdaftar di BEI Tahun 2014-2018." Ekonomis: Journal of Economics and Business 4, no. 2 (2020): 268. http://dx.doi.org/10.33087/ekonomis.v4i2.169.

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This study aims to predict financial distress in the Automotive Industry listed on the Indonesia Stock Exchange in the 2014-2018 period, there are 13 companies that become research samples. Analysis of Prediction of Financial Distress is an early warning for management to be able to take anticipatory steps if the company indicates there are financial problems. The analysis tool used is the Zmijewski X Score and Grover Score methods and the Wilcoxon Test to see the differences between the two prediction models. The results showed that there were differences in predictions between the X Score Zm

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Bilondatu, Desyah Natalia, Meriyana Franssisca Dungga, and Selvi Selvi. "Analisis Model Altman Z-Score, Springate, dan Zmijewski Sebagai Metode dalam Memprediksi Kondisi Kebangkrutan pada PT. Garuda Indonesia, Tbk Periode 2014-2018." JAMIN : Jurnal Aplikasi Manajemen dan Inovasi Bisnis 2, no. 1 (2019): 40. http://dx.doi.org/10.47201/jamin.v2i1.35.

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This study aims to find out, describe and explain the results of the application of analysis from the prediction method of bankruptcy of the Altman Z-Score, Springate, and Zmijewski models used in assessing and predicting the potential for bankruptcy with the object of research at PT. Garuda Indonesia (Persero) Tbk 2014-2018. The method used in this research is descriptive research method using a quantitative approach, and the operationalization of the variables used is the independent variable, namely the bankruptcy prediction model with the dependent variable is financial ratios. The data us

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Rachmawati, Yuni, and Rifani Akbar Sulbahri. "ANALISIS KOMPARATIF MODEL SPRINGATE DAN ZMIJEWSKI DALAM MEMPREDIKSI KEBANGKRUTAN PADA PERUSAHAAN FOOD AND BEVERAGE YANG TERDAFTAR DI BEI PERIODE 2018." Jurnal Keuangan dan Bisnis 18, no. 1 (2020): 147. http://dx.doi.org/10.32524/jkb.v18i1.660.

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Perusahaan Food and Beverage merupakan sektor yang strategis, terlihat dari peningkatan realisasi investasi terbesar dari lima sektor industri lainnya. Menjamurnya perusahaan makanan serta bangkrutnya beberapa industri makanan menjadi tantangan sekaligus ancaman bagi industri ini. Nyonya Meneer, pabrik jamu yang berjaya di masanya dinyatakan pailit pada Agustus 2017. Hal ini mendukung tujuan penelitian yaitu menganalisis kemungkinan kebangkrutan perusahaan Food and Beverage yang terdaftar di Bursa Efek Indonesia per periode 2018 menggunakan Model Springate dan Model Zmijewski. Melalui purposiv

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Edi, Edi, and May Tania. "KETEPATAN MODEL ALTMAN, SPRINGATE, ZMIJEWSKI, DAN GROVER DALAM MEMPREDIKSI FINANCIAL DISTRESS." Jurnal Reviu Akuntansi dan Keuangan 8, no. 1 (2018): 79. http://dx.doi.org/10.22219/jrak.v8i1.28.

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This study aims to identify and analyze the accuracy models of financial distress between the model results of Altman, Springate, Zmijewski, and Grover. The model used by investors, creditors and the company itself who will invest in the company and evaluate the financial performance. Samples from this study are 1.321 firm-year, collected from Indonesia Stock Exchange for the period 2012-2016 and were selected using purposive sampling method. The data used in this study are financial reports of each company. The data obtained were tested with logistic regression. This study shows that the mode

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Pratama, Hendra, and Bambang Mulyana. "PREDICTION OF FINANCIAL DISTRESS IN THE AUTOMOTIVE COMPONENT INDUSTRY: AN APPLICATION OF ALTMAN, SPRINGATE, OHLSON, AND ZMIJEWSKI MODELS." Dinasti International Journal of Economics, Finance & Accounting 1, no. 4 (2020): 606–18. http://dx.doi.org/10.38035/dijefa.v1i4.533.

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This study aims to identify and examine the condition of financial distress in the automotive component industry issuers in the period 2014 ~ 2018, using the Altman Z-score, Springate S-score, Ohlson O-score, and Zmijewski X-score against financial ratios as an analysis form of company management to predict the early warnings of company bankruptcy. This study uses quantitative, secondary, and panel data; while the sample uses a non-probability boring sampling technique of 11 companies. The results showed that these four models can predict financial distress by identifying each model. Altman’s

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Munawarah, Munawarah. "Zmijewski dan Springate : Analisis Diskriminan dalam Memprediksi Financial Distress." Akuisisi: Jurnal Akuntansi 15, no. 1 (2020): 1–8. http://dx.doi.org/10.24127/akuisisi.v15i1.279.

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Penelitian ini bertujuan untuk menganalisis perbedaan model Zmijewski dengan model Springate dalam memprediksi financial distress pada perusahaan property dan real estate yang terdaftar di Bursa Efek Indonesia. Objek penelitian merupakan perusahaan sektor property dan real estate dari tahun 2011-2015. Total populasi 47 perusahaan. Sampel sebesar 35 perusahaan diambil dengan teknik purposive. Total pengamatan 175 perusahaan. Variabel pada penelitian ini adalah mengambil nilai cut-off yang tersaji pada model Zmijewski (X-score) dan model Springate (S-Score). Penelitian menggunakan pendekatan des

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Fadhila Wanda Hidayati, Dicky Jhoansyah, and R. Deni Muhammad Danial. "Analisis Model Altman, Model Zmijewski dan Model Ohlson Untuk Memprediksi Financial Distress." Jurnal Indonesia Sosial Sains 2, no. 2 (2021): 230–40. http://dx.doi.org/10.36418/jiss.v2i2.179.

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Penelitian ini bertujuan untuk memprediksi tingkat financial distress pada PT. Krakatau Steel (persero) Tbk yang merupakan perusahaan BUMN atau Badan Usaha Milik Negara yang bergerak dibidang . Perusahaan BUMN membantu untuk pertumbuhan ekonomi Indonesia. Oleh sebab itu, setiap perusahaan bersaing untuk mendapatkan profit yang besar. Jika perusahaan tidak bisa mendapatkan profit perlu diketahui lebih dalam apakah kondisi keuangan perusahaan baik-baik saja atau mengalami suatu masalah. Kesulitan keuangan bisa saja meimpa perusahaan manapun dan jika tidak segera ditangani akan mengakibatkan peru

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Suryaman, Ahmad, Immas Nurhayati, and Diah Yudawati. "ANALISIS PREDIKSI FINANCIAL DISTRESS MENGGUNAKAN MODEL ALTMAN Z-SCORE, ZMIJEWSKI, SPRINGATE PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)." INOVATOR 6, no. 2 (2017): 43. http://dx.doi.org/10.32832/inovator.v6i2.1045.

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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.

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Munawarah, Munawarah. "Akurasi Model Logistik Springate, Zmijewski, dan Grover Dalam Menakar Kesulitan Keuangan Perusahaan Pembiayaan." Accounting and Management Journal 3, no. 1 (2019): 1–10. http://dx.doi.org/10.33086/amj.v3i1.644.

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This study aims to determine springate, grover and zmijewski able to predict the condition of financial distress in finance companies listed on the Indonesia Stock Exchange. From three models can be known which model is the most accurate in predicting financial distress. There are 17 companies in Financing sector as population in this study from 2013-2017. Using purposive sampling technique, total sample of 85 financing companies was obtained. Secondary data were used in this research sourced from the company's annual reports. The analysis model used is logistic regression. Simultaneously, all

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M. Noor Salim and Dhermawan Ismudjoko. "An Analysis of Financial Distress Accuracy Models in Indonesia Coal Mining Industry: An Altman, Springate, Zmijewski, Ohlson and Grover Approaches." Journal of Economics, Finance and Accounting Studies 3, no. 2 (2021): 01–12. http://dx.doi.org/10.32996/jefas.2021.3.2.1.

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The purpose of this research is to determine companies financial distress base on Altman, Springate, Zmijewski, Ohlson and Grover Models and to assess the accuracy of those five prediction models in coal mining sector firms listed in Indonesia Stock Exchange (IDX) for the period 2015 – 2019. This research has 22 samples of 23 coal mining firms listed in IDX base on the purposive sampling technique. This study is a descriptive design using quantitative and panel data. The research data is analyzed using the Kruskal Wallis test because there are more than two prediction models to compare and the

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Alamsyah, Muhammad Fuad. "ANALISIS PENERAPAN METODE ZMIJEWSKI DALAM MEMPREDIKSI POTENSI KEBANGKRUTAN PADA." JBMI (Jurnal Bisnis, Manajemen, dan Informatika) 16, no. 2 (2019): 191–209. http://dx.doi.org/10.26487/jbmi.v16i2.7611.

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Kebangkrutan merupakan suatu kegagalan yang terjadi sebagai akibat tidak mampu lagi untuk melunasi kewajibannya. Salah satu alat analisis yang dapat digunakan untuk memprediksi kebangkrutan adalah model Zmijewski. Metode Zmijewski menggunakan rasio keuangan yang mengukur kinerja Return On Assets (ROA), Levarage, dan likuiditas untuk memprediksi kesulitan keuangan perusahaan. Tujuan dari penelitian ini yaitu untuk menganalisis lebih jauh terkait kinerja UMKM karawo di kota Gorontalo dalam mempertahankan eksistensinya di tengah persaingan yang semakin ketat serta berupaya untuk meminimalisir ter

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Fachrudin, Khaira Amalia. "The Relationship between Financial Distress and Financial Health Prediction Model: A Study in Public Manufacturing Companies Listed on Indonesia Stock Exchange (IDX)." Jurnal Akuntansi dan Keuangan 22, no. 1 (2020): 18–27. http://dx.doi.org/10.9744/jak.22.1.18-27.

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Financial distress prediction models of Altman, Springate, Zmijewski, Grover, and Khaira have been widely applied to predict financial distress and financial health. This study aims to analyze score correlations within the prediction results of the mentioned models applied in manufacture companies listed in the Indonesian Stock Exchange. The sample includes 30 companies which faced financial distress during economic crisis in 1997–1998 and, as comparison, incorporates 28 financially healthy companies. Observations were made during one and two years before the financial distress occurred, i.e.

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Ahmad, Ilyas, Zahid Ali, and Muhammad Usman. "Predicting Corporate Financial Distress: The Case of Pakistan." Global Social Sciences Review III, no. III (2018): 488–503. http://dx.doi.org/10.31703/gssr.2018(iii-iii).28.

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In view of corporate lifecycle theory, financial distress is one of the fundamental phase in the life of a firm. Despite being unaffected by Global Financial Crises 2008, that time period proved critical for the corporate sector of Pakistan. This study aims to measures the firm-level financial distress in Pakistan by employing the bankruptcy models of Altman-(1968), Ohlson-(1980), Zmijewski-(1984) and JZ-(2016) for all nonfinancial firms for the years, 2002-2014. The major findings show that Z-score is the best bankruptcy forecast model, followed by Zmijewski model. This study has significance

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Andriani, Fika, and Pardomuan Sihombing. "Comparative Analysis of Bankruption Prediction Models in Property and Real Estate Sector Companies Listed on the IDX 2017-2019." European Journal of Business and Management Research 6, no. 1 (2021): 170–73. http://dx.doi.org/10.24018/ejbmr.2021.6.1.730.

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This study takes the topic of comparative analysis of bankruptcy prediction models in the Property and Real Estate Sector companies listed on the IDX in 2017-2019. In this case, the test was conducted to compare the accuracy between the Altman Z-Score, Springate S-Score and Zmijewski X-Score models in predicting the bankruptcy of property and real estate companies. The sample consisted of 20 companies after the sample selection was carried out using purposive sampling technique. To obtain the right level of accuracy, a comparison of the distress or non-distress score categories of each bankrup

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Et. al., Dailibas,. "Analysis of Bunkruptcy Prediction With Altman Z-Score, Springate and Zmijewski Models Based Engineering Science (Case study at Garuda Indonesia Airline, Period Years of 2014-2017)." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (2021): 1530–37. http://dx.doi.org/10.17762/turcomat.v12i4.1408.

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The purpose of this reseach is to analysis and to make a bunkruptcy prediction of the Garuda Indonesia listed on Indonesian Stock Exchange,and to find out what the best model used in a bunkruptcy prediction of company. Reseach method based on purposive sampling.The population of this reseach is a numbers of company financial reporting listed on Indonesian Stock Exchange, and the sample obtained from period years of 2014 to 2017. The analysis of technical data used is descriptive analysis with a helping microsoft excel software . The reseach finding, that based on Altman Z-Score, and Springate

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Supriati, Diana, Icuk Rangga Bawono, and Kusriyadi Choirul Anam. "ANALISIS PERBANDINGAN MODEL SPRINGATE, ZMIJEWSKI, DAN ALTMAN DALAM MEMPREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA." JOURNAL OF APPLIED BUSINESS ADMINISTRATION 3, no. 2 (2019): 258–70. http://dx.doi.org/10.30871/jaba.v3i2.1730.

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Financial Distress can be interpreted as a phase of the decline in financial conditions experienced by a company. One of the indicators is the inability of the company to pay off its debts that are due, which is caused by losses suffered by the company in several years. This study aims to analyze and predict financial distress in companies listed on the Indonesia Stock Exchange that have suffered for several years and to find out which prediction models can indicated the best financial distress. The populations in this study are manufacturing companies listed on the Indonesia Stock Exchange in

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Barbara Gunawan and Diesy Nurfithriyani. "PREDIKSI FINANCIAL DISTRESS PADA BUMN DALAM RANGKA MENILAI KINERJA PERUSAHAAN PEMERINTAH." Jurnal Aplikasi Akuntansi 4, no. 1 (2019): 59–76. http://dx.doi.org/10.29303/jaa.v4i1.73.

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Badan Usaha Milik Negara (BUMN) memiliki peran dalam peningkatan pendapatan negara melalui pembayaran pajak dan setoran deviden perusahaan, namun permasalahan yang dihadapi saat ini adalah hutang yang dimiliki BUMN semakin meningkat dikarenakan komitmen pemerintah pada pembiayaan perusahaan kurang optimal sehingga memungkinkan perusahaan berada pada kondisi kesulitan keuangan. Penelitian ini bertujuan untuk memprediksi kesulitan keuangan atau financial distress perusahaan BUMN bidang industri pengolahan selama 2014-2018 dan menganalisis kestabilan kinerja perusahaan pada tahun tersebut. Predik

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Husni, Erdasti. "Analisis Model X-Score Zmijewski dalam Memprediksi Financial Distress Pada Industri Barang Konsumsi yang Terdaftar Di Bursa Efek Indonesia." JUSIE (Jurnal Sosial dan Ilmu Ekonomi) 2, no. 01 (2019): 18–25. http://dx.doi.org/10.36665/jusie.v2i01.110.

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This Study aimed to test the X-Score Model Analysis Zmijewski In Predicting Financial Distress In Manufacturing Company Sector Consumer Goods Industry Listed on the Indonesia Stock Exchange. The population in this study are a Manufacturing Sector Consumer Goods Industry listed in Indonesia Stock Exchange during the period 2011 to 2015 as many as 37 companies. The sample is determined by purposive sampling with criteria for companies listed on the Indonesia Stock Exchange and companies that publish the complete annual financial statements the period 2011 to 2015 as many as 17 companies. Data us

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Romauli Br Sitanggang, Devi, and Naomi Putri Sion Silaban. "Analisis Potensi Kebangkrutan dengan Metode Altman Z-Score, Springate (S-SCORE), Zmijewski (X-SCORE) & Grover (G-SCORE) PT. Hexindo Adiperkasa, Tbk Periode Tahun 2016-2019." Jurnal Pendidikan Tambusai 5, no. 2 (2021): 3577–92. http://dx.doi.org/10.31004/jptam.v5i2.1410.

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Penelitian ini bertujuan untuk menganalisis dan mengukur nilai skor kebangkrutan dengan menggunakan model Altman Z-Score, Zmijewski, Springate, dan Grover. Sampel menggunakan PT. Hexindo Adiperkasa Tbk periode 2016-2019. Dalam melakukan penelitian ini, penulis menggunakan metode studi deskriptif dan metode studi kasus. Data yang digunakan adalah data sekunder yang diperoleh dari website resmi perusahaan. Hasil penelitian membuktikan bahwa: perhitungan Altman Z-Score, Zmijewski, Springate, dan Grover memprediksi bahwa PT. Hexindo Adiperkasa Tbk pada periode 2016-2019 dalam kondisi sehat. Peneli

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Ismail Chandra, Mohamad, Suyanto Suyanto, Tri Widyastuti, and Nurmala Ahmar. "Pertarungan Model Altman, Springate, Zmijewski dan Grover Memprediksi Financial Distress Perusahaan Jasa." Jurnal Indonesia Sosial Teknologi 2, no. 7 (2021): 1183–96. http://dx.doi.org/10.36418/jist.v2i7.195.

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Penelitian ini bertujuan untuk meneliti model prediksi financial distress terbaik diantara 4 model yaitu Altman Z Score, Springate, Zmijewski, dan Grover dalam memprediksi financial distress pada perusahaan jasa pada sub sektor investasi dan sekuritas yang terdaftar di Bursa Efek Indonesia periode 2012-2016. Sampel yang digunakan dalam penelitian ini sebanyak 16 perusahaan jasa sub sektor sekuritas dan investasi di Bursa Efek Indonesia. Tehnik sampling yang digunakan dalam penelitian ini adalah purposive sampling yaitu salah satu tehnik non random dimana peneliti menentukan pengambilan sample

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Alfina, Claudy, and Elfina Astrella Sambuaga. "PENGARUH OPPORTUNISTIC BEHAVIOUR, LEVERAGE, FINANCIAL DISTRESS TERHADAP EARNINGS MANAGEMENT." Ultimaccounting : Jurnal Ilmu Akuntansi 13, no. 1 (2021): 60–74. http://dx.doi.org/10.31937/akuntansi.v13i1.1947.

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Abstract— The purpose of this study is to examine the effect of opportunistic behavior, leverage, financial distress on earnings management. Samples were obtained from non-financial companies that reported financial reports in a row from 2010-2019 with a purposive sampling method, so as to obtain data as much as 232 observations. Earnings management is measured using the Kothari (2005) model, opportunistic behavior consisting of free cash flow (FCF) as measured by the Lehn & Poulsen method (1989) and profitability as measured by Return on Assets (ROA), leverage is measured by Debt Ratio an

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Cahyani, Utari Evy, Misnen Ardiansyah, and Sunaryati Sunaryati. "Islamic Social Reporting and Financial Distress In List of Sharia Securities." IQTISHADIA 13, no. 2 (2020): 157. http://dx.doi.org/10.21043/iqtishadia.v13i2.7756.

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<p>The number of sharia-approved companies in the Indonesia Stock Exchange is growing rapidly. It is important to see how the social performance of these companies, using Islamic Social Reporting Index (ISR Index). Financial Distress as an early sign of a company’s failure is also important to study. This study examines the relation between ISR Index and financial distress in list of sharia securities. The control variables apply in this research are SIZE, ROA, CR, WCTR, DER, and RETA. By using a sample of 129 companies from financial statements and annual reports (2014-2018), three mode

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Anugrah, Meilinda Dwi, and Meilinda Dwi Anugrah. "ANALISIS MODEL ALTMAN, TAFFLER, DAN ZMIJEWSKI DALAM MEMPREDIKSI PERUSAHAAN YANG DELISTING SECARA PAKSA KARENA KEGAGALAN KEUANGAN DARI BURSA EFEK INDONESIA PERIODE 2010-2014." TECHNOBIZ : International Journal of Business 2, no. 1 (2019): 38. http://dx.doi.org/10.33365/tb.v2i1.283.

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Penelitian ini bertujuan untuk menguji dan membuktikan apakah model analisis kebangkrutan Altman (1983), Taffler (1983), dan Zmijewski (1984) mampu memprediksi perusahaan yang delisting secara paksa karena kegagalan keuangan dari Bursa Efek Indonesia serta menganalisis tingkat akurasi ketiga model tersebut. Prediksi kebangkrutan dibutuhkan sebagai model untuk mencegah terjadinya kebangkrutan perusahaan yang dapat diantisipasi sejak dini.Sampel penelitian adalah seluruh perusahaan yang dihapuskan pencatatannya secara paksa (delisting) karena kegagalan keuangan. Jumlah sampel yang mengalami deli

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Plíhal, Tomáš, Martina Sponerová, and Miroslav Sponer. "Comparative Analysis of Credit Risk Models in Relation to SME Segment." Financial Assets and Investing 9, no. 1 (2018): 35–50. http://dx.doi.org/10.5817/fai2018-1-3.

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The importance of credit risk management is well known and was deeply investigated by the banking industry. There is a pressure on financial institutions to still improve their credit risk management systems, so the credit risk of a bank is an unflagging object of discussion. The aim of this article to compare the predicting abilities of several bankruptcy models to the SME segment in the Czech Republic and its subsegments - medium sized, small and micro enterprises. We have focused on small and medium sized enterprises (SMEs) considering their fundamental role played in the Czech economy and

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Sudjiman, Lorina Siregar, and Paul Eduard Sudjiman. "THE ACCURACY OF THE SPRINGATE AND ZMIJEWSKI IN PREDICTING FINANCIAL DISTRESS IN COSMETIC AND HOUSEHOLD SUBSECTOR COMPANIES." Abstract Proceedings International Scholars Conference 7, no. 1 (2019): 1343–58. http://dx.doi.org/10.35974/isc.v7i1.2067.

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Introduction: Bankruptcy begins with a condition of ﬁnancial distress. The purpose of this study was to test and analyze the accuracy of financial distress predictions in Cosmetic and Household Subsector Companies listing on the Indonesia Stock Exchange use two models: the Springate (S-Score) model and Zmijweski model.  Method: The population in this study are companies in the Cosmetic and Household Subsector Companies listing on the Indonesia Stock Exchange which publishes audited financial statements for fiscal year 2010-2017, which amounted to 5 companies: Martina, MRAT, TCID, U

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