Analisis Potensi Financial Distress Dengan Metode Springate Pada Bank Umum Syariah Di Indonesia

Marlinda, Desi; Yulia, Aida

doi:10.24815/jimeka.v5i1.15427

Cited by 3 publications

(3 citation statements)

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“…According to the Zmijewski model, a company is considered bankrupt if its profitability exceeds 0.5 or the X value is 0. Therefore, it is anticipated that the company will file for bankruptcy if the X number is greater than or equal to 0 [17].…”

Section: Zmijewski Modelmentioning

confidence: 99%

Analysis of Zmijewski Model's Accuracy in Predicting Potential Financial Distress for Indonesian Islamic Banking

Ummah,

Aisyah

2024

AJEBA

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Every banking activity and product has risks. Risk is the result or consequence of an activity during the process or in future circumstances that can cause losses. Financial Distress can be characterized by a decrease in various financial ratios, a reduction in assets, a decline in sales, a decrease in profits and profitability levels, a reduction in working capital, and a continuous increase in debt. So, in this research, the author wanted to know the level of accuracy of the Altman z-score model in predicting potential financial Distress for Sharia Commercial Banks in Indonesia. The population used in this research was Sharia Commercial Banks registered with the Financial Services Authority. The sampling technique that the researchers used was purposive sampling, with a total sample of 12 Islamic commercial banks. The research results showed that only one bank experienced financial Distress, while 11 other banks experienced good economic conditions. The Zmijewski model is good because it has a high level of accuracy with a low error.

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Section: Zmijewski Modelmentioning

confidence: 99%

Analysis of Zmijewski Model's Accuracy in Predicting Potential Financial Distress for Indonesian Islamic Banking

Ummah,

Aisyah

2024

AJEBA

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“…This ratio is part of the liquidity ratio to assess a company's ability to pay off its short-term debt (Marlinda & Yulia, 2020).…”

Section: Working Capital To Total Assets (X1)mentioning

confidence: 99%

Analysis of Potential Bankruptcy with The Springate Method in Oil and Gas Subsector Companies Listed on The IDX 2018-2021

Rahma,

Nurdiana

2023

Int. J. Multidiscipline. Approach. Res. Sci.

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Changes in world oil prices are a things that must be considered, because they can affect the selling price of crude oil and the profits to be obtained. Apart from that, the rupiah exchange rate against the US dollar is also one thing that needs attention. These conditions become one of the considerations for investors whether the results of the investment can provide profits or have a loss. One of the problems that must be considered is financial distress. The aims of this research is to use the Springate method to analyze the potential for bankruptcy in oil and gas subsector companies. This research uses a quantitative descriptive approach and data collection uses documentation techniques by taking secondary data from the website of the Indonesia Stock Exchange. The sample was selected using certain sampling criteria, so that the sample in this study amounted to 10 companies. The results of the analysis of potential bankruptcy using the springate method in 2018 to 2020 show that there are 8 companies in the distress zone and 2 companies in the safe zone. In 2021 there are 9 companies in the distress zone and 1 company in the safe zone.

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“…Penelitian yang dilakukan oleh (Marlinda & Yulia, 2020), Menguji tingkat kebangkrutan keuangan dengan metode Springate pada perusahaan perbankan syariah di Indonesia. Dalam kurun lima tahun terakhir pada perusahaan perbankan syariah ada sekitar rata-rata yang tidak mengarah ke bangkrutan keuangan.…”

Section: Setiapunclassified

Penerapan Metode Springate Dalam Menilai Kebangkrutan Pada Subsektor Perkebunan Di Lahan Basah

Sadikin

Dalimunthe

2022

JWM

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The purpose of this research to analyze and determine the application of the springate method in bankruptcy in the plantation sub-sector in wetlands listed on the Indonesian stock exchange for the 2017-2019 period. The total population of the study was 19 companies in the plantation sub-sector, while the number of samples was 14 companies using the porpusive sampling method. The results of this study indicate that in 2017 there were 6 plantation sub-sector companies that were predicted to experience Non-Financial Distress conditions and 8 companies were predicted to experience Financial Distress conditions. In 2018 there are 4 companies that are predicted to experience Non-Financial Distress conditions and 10 companies are predicted to experience Financial Distress conditions. In 2019, there were 2 plantation sub-sector companies that were predicted to experience Non-Financial Distress conditions and 12 that were predicted to experience Financial Distress conditions. Keywords: Springate method, Financial distress

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Analisis Potensi Financial Distress Dengan Metode Springate Pada Bank Umum Syariah Di Indonesia

Cited by 3 publications

References 0 publications

Analysis of Zmijewski Model's Accuracy in Predicting Potential Financial Distress for Indonesian Islamic Banking

Analysis of Zmijewski Model's Accuracy in Predicting Potential Financial Distress for Indonesian Islamic Banking

Analysis of Potential Bankruptcy with The Springate Method in Oil and Gas Subsector Companies Listed on The IDX 2018-2021

Penerapan Metode Springate Dalam Menilai Kebangkrutan Pada Subsektor Perkebunan Di Lahan Basah

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