IDEAS home Printed from
   My bibliography  Save this paper

Bankruptcy Prediction: SMEs Case Study in Pontianak, Indonesia


  • Umiaty Hamzani

    (Universitas Tanjungpura, Jl. Prof. Dr. H. Hadari Nawawi, 78124, Pontianak, Indonesia. Author-2-Name: Dinarjad Achmad Author-2-Workplace-Name: Universitas Tanjungpura, Jl. Prof. Dr. H. Hadari Nawawi, 78124, Pontianak, Indonesia)


Objective � This study aims to examine the risk of bankruptcy among SMEs to determine whether there are any significant differences in the financial performance between SMEs that apply accounting standard and those that do not. Methodology/Technique � This research uses a case study method to examine SMEs in the business incubator under the auspices of the Bank Indonesia in Pontianak. Descriptive analysis and independent sample tests are also used in this study. Findings � The results show that neither of the SME groups are predicted bankrupt under the financial distress model. Furthermore, the independent sample tests show that, if using a significance level of 5%, there is no difference in the financial performance of both groups. However, if using a significance level of 10%, there is a significant difference in both groups

Suggested Citation

  • Umiaty Hamzani, 2018. "Bankruptcy Prediction: SMEs Case Study in Pontianak, Indonesia," GATR Journals afr152, Global Academy of Training and Research (GATR) Enterprise.
  • Handle: RePEc:gtr:gatrjs:afr152

    Download full text from publisher

    File URL:
    Download Restriction:

    As the access to this document is restricted, you may want to search for a different version of it.


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Frank Ranganai Matenda & Mabutho Sibanda & Eriyoti Chikodza & Victor Gumbo, 2022. "Bankruptcy prediction for private firms in developing economies: a scoping review and guidance for future research," Management Review Quarterly, Springer, vol. 72(4), pages 927-966, December.
    2. Ge Gao & Hongxin Wang & Pengbin Gao, 2021. "Establishing a Credit Risk Evaluation System for SMEs Using the Soft Voting Fusion Model," Risks, MDPI, vol. 9(11), pages 1-12, November.
    3. Farida Titik Kristanti, 2019. "Integrating Capital Structure, Financial and Non-Financial Performance: Distress Prediction of SMEs," GATR Journals afr175, Global Academy of Training and Research (GATR) Enterprise.

    More about this item


    Financial Distress Model; Financial Ratios; Financial Statements; Going Concern Accounting Principle; SAK ETAP; SMES.;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gtr:gatrjs:afr152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Prof. Dr. Abd Rahim Mohamad (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.