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DC Field | Value | Language |
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dc.contributor.author | Artanti, Viany | - |
dc.contributor.advisor | Renwarin, Joseph MJ | - |
dc.date.accessioned | 2023-03-07T07:38:39Z | - |
dc.date.available | 2023-03-07T07:38:39Z | - |
dc.date.issued | 2022-03-21 | - |
dc.identifier.uri | http://repository.kalbis.ac.id/handle/123456789/941 | - |
dc.description.abstract | Retail fashion in Indonesia is currently growing and has a significant contribution to 2018 GDP. However, Covid-19 pandemic crisis has put heavy pressure on it. Thus, a bankruptcy prediction analysis was conducted to assess whether it was able to survive or bankrupt. Bankruptcy prediction analysis is important for investors, creditors, and a firm itself before making a decision. Bankruptcy prediction analysis models used in this study are Altman, Springate, and Zmijewski. Those three models give a different result, so further research is needed to find out which is the most accurate model. The aim of this study is to predict bankruptcy in the retail fashion sector and to analyze the predictive capacity of Altman, Springate, and Zmijewski. Data used was obtained from 2016 – 2020 financial statements of retail fashion companies listed on IDX. Data processing uses Microsoft Excel and SPSS software. The result showed that the retail fashion sector was able to survive and the Zmijewski model had the highest level of accuracy | en_US |
dc.language.iso | other | en_US |
dc.publisher | Institut Teknologi dan Bisnis Kalbis | en_US |
dc.subject | Financial Distress | en_US |
dc.subject | Bankruptcy | en_US |
dc.subject | Altman Z-Score, | en_US |
dc.subject | Springate | en_US |
dc.subject | Zmijewski | en_US |
dc.title | Estimasi Ulang Model Prediksi Kebangkrutan : Studi Kasus pada Perusahaan Fesyen Ritel | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | MM 2022 |
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A_Cover_2020204993.pdf | Cover | 336.06 kB | Adobe PDF | View/Open |
B_Abstrak_2020204993.pdf | Abstrak | 412.78 kB | Adobe PDF | View/Open |
C_Daftar_isi_2020204993.pdf | Daftar isi | 604.56 kB | Adobe PDF | View/Open |
D_Bab1_2020204993.pdf | Bab 1 | 4.49 MB | Adobe PDF | View/Open |
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I_Daftar_pustaka_2020204993.pdf | Daftar pustaka | 2.36 MB | Adobe PDF | View/Open |
J_Full_text_2020204993.pdf Restricted Access | Full text | 6.09 MB | Adobe PDF | View/Open Request a copy |
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