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Factors to Predict the Financial Distress Condition of the Banking Listed in The Indonesia Stock Exchange

Accounting Analysis Journal · Vol. 6 No. 1 (2017) · pp. 39–47

DOI
10.15294/aaj.v6i1.11343
ISSN
2502-6216, 2252-6765
Published
2017-03-14
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh dari variabel yang diteliti dalam memprediksi probabilitas terjadinya financial distress sektor perbankan di Indonesia. Variabel dalam penelitian ini dipilih dengan pendekatan 5C, yang kemudian diproxykan menjadi GCG (Good Corporate Governance), ROA (Return on Asset), LDR (Loan Deposit Ratio),CAR (Capital Adequacy Ratio), TAG (Total Asset Growth), NPL (Non Performing Loans), PER (Price Eearning Ratio), PBV (Price Book Value Ratio). Populasi dari penelitian ini adalah bank yang terdaftar di Bursa Efek Indonesia periode tahun 2012-2014. Pengambilan sampel dilakukan dengan menggunakan teknik purposive sampling, hingga diperoleh 25 peristiwa financial distress pada periode penelitian. Penelitian ini menggunakan analisis regresi logistik untuk menguji pengaruh variabel independen terhadap variabel dependen. Hasil penelitian menunjukkan variabel return on asset dan capital adequacy ratio berpengaruh negatif terhadap probabilitas financial distress, sedangkan good corporate governance, loan deposit ratio, total asset growth, non performing loans, price earning ratio, dan price book value ratio tidak berpengaruh secara signifikan terhadap probabilitas financial distress. This research aims to analyze the effect of the variabels to predict Indonesian Banks’s financial distress. Those variabel was chosen by using 5C methods. The 5C methods consist of GCG (Good Corporate Governance), ROA (Return on Asset), LDR (Loan Deposit Ratio),CAR (Capital Adequacy Ratio), TAG (Total Asset Growth), NPL (Non Performing Loans), PER (Price Eearning Ratio), PBV (Price Book Value Ratio). The population of this study was all banks listed in Indonesia Stock Exchange (ISX) in 2012-2014. Sampling is done by using purposive sampling method, until founded that was 25 financial distress phenomena that happens in that periods.This study used logistic regression analysis for testing the influence of independent variables on dependent variable. The results of this study showed return on asset and capital adequacy ratio negative significantly influence to the probability of financial distress, meanwhile good corporate governance, loan deposit ratio, total asset growth, non performing loans, price earning ratio, and price book value ratio had no significantly influence to to the probability of financial distress. Keyword: Financial distress, 5C methods, Financial ratio, bank.

Collaboration network of the authors

40 authors · 85 co-authorship links · showing the 40 most connected

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Co-authorOrganisationJoint articles
Muhammad KhafidAffiliation unknown2
Indah Fajarini Sri WahyuningrumAffiliation unknown2
Kusmuriyanto KusmuriyantoAffiliation unknown1
Shanie SukmawatiAffiliation unknown1
Aditya HernawanAffiliation unknown1
Amir MahmudAffiliation unknown1
Abiprayasa Kawiswara Weko HartoyoAffiliation unknown1
Eloking Surya Sekar MahardikaAffiliation unknown1
Nur AlimahAffiliation unknown1
Septian Fahmi FahluzyAffiliation unknown1
Fachrurrozie FachrurrozieAffiliation unknown1
Dwi Anggoro SaputroAffiliation unknown1
Hafidz Hening WaskitoAffiliation unknown1
Insani Khikmawati KhikmawatiAffiliation unknown1
Ibnu Reza AshkhabiAffiliation unknown1
Febri Zaini AuliaAffiliation unknown1
Eka SetiawatiAffiliation unknown1
Hendy Bayu SatriawanAffiliation unknown1
Nur Annisa KhumairohAffiliation unknown1
Tya RestiantiAffiliation unknown1
Nia FerlianaAffiliation unknown1
Chintiya Febiana RamadhaniAffiliation unknown1
Indrianingsih IndrianingsihAffiliation unknown1
Ana sulistianiAffiliation unknown1
Dianawati DianawatiAffiliation unknown1
Siti Nurmala SariAffiliation unknown1
Anita NoviyantiAffiliation unknown1
Putri ApriliyaniAffiliation unknown1
Kuat Waluyo JatiAffiliation unknown1
M AkmalAffiliation unknown1
Retnoningrum HidayahAffiliation unknown1
Trisni SuryariniAffiliation unknown1
Prabowo Yudo JayantoAffiliation unknown1
Dhini SuryandariAffiliation unknown1
I N KayatiAffiliation unknown1
Fian Tri RohmahAffiliation unknown1
Anwar ZahidAffiliation unknown1
Meilani Intan PertiwiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/aaj/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Factors to Predict the Financial Distress Condition of the Banking Listed in The Indonesia Stock Exchange</dc:title>
	<dc:creator>Kuncoro, Sarwo</dc:creator>
	<dc:creator>Agustina, Linda</dc:creator>
	<dc:description xml:lang="en-US">Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh dari variabel yang diteliti dalam memprediksi probabilitas terjadinya financial distress sektor perbankan di Indonesia. Variabel dalam penelitian ini dipilih dengan pendekatan 5C, yang kemudian diproxykan menjadi GCG (Good Corporate Governance), ROA (Return on Asset), LDR (Loan Deposit Ratio),CAR (Capital Adequacy Ratio), TAG (Total Asset Growth), NPL (Non Performing Loans), PER (Price Eearning Ratio), PBV (Price Book Value Ratio). Populasi dari penelitian ini adalah bank yang terdaftar di Bursa Efek Indonesia periode tahun 2012-2014. Pengambilan sampel dilakukan dengan menggunakan teknik purposive sampling, hingga diperoleh 25 peristiwa financial distress pada periode penelitian. Penelitian ini menggunakan analisis regresi logistik untuk menguji pengaruh variabel independen terhadap variabel dependen. Hasil penelitian menunjukkan variabel return on asset dan capital adequacy ratio berpengaruh negatif terhadap probabilitas financial distress, sedangkan good corporate governance, loan deposit ratio, total asset growth, non performing loans, price earning ratio, dan price book value ratio tidak berpengaruh secara signifikan terhadap probabilitas financial distress.
This&amp;nbsp; research&amp;nbsp; aims&amp;nbsp; to&amp;nbsp; analyze&amp;nbsp; the&amp;nbsp; effect&amp;nbsp; of&amp;nbsp; the&amp;nbsp; variabels&amp;nbsp; to&amp;nbsp; predict Indonesian Banks’s financial distress. Those variabel was chosen by using 5C methods. The 5C methods consist of GCG (Good Corporate Governance), ROA (Return on Asset), LDR (Loan Deposit Ratio),CAR (Capital Adequacy Ratio), TAG (Total Asset Growth), NPL (Non Performing Loans), PER (Price Eearning Ratio), PBV (Price Book Value Ratio). The&amp;nbsp; population&amp;nbsp; of&amp;nbsp; this&amp;nbsp; study&amp;nbsp; was&amp;nbsp; all&amp;nbsp; banks&amp;nbsp; listed&amp;nbsp; in&amp;nbsp; Indonesia&amp;nbsp; Stock Exchange (ISX) in 2012-2014. Sampling is done by using purposive sampling method, until founded that was 25 financial distress phenomena that happens in that periods.This study used logistic regression analysis for testing the influence of independent variables on dependent variable. The results of this study showed return on asset and capital adequacy ratio negative&amp;nbsp; significantly influence to&amp;nbsp; the probability of financial distress, meanwhile good corporate governance, loan deposit ratio, total asset growth, non performing loans, price earning ratio, and price book value ratio had no significantly influence to to the probability of financial distress.
Keyword: Financial distress, 5C methods, Financial ratio, bank.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2017-03-14</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/aaj/article/view/11343</dc:identifier>
	<dc:identifier>10.15294/aaj.v6i1.11343</dc:identifier>
	<dc:source xml:lang="en-US">Accounting Analysis Journal; Vol 6 No 1 (2017): March 2017; 39-47</dc:source>
	<dc:source>2502-6216</dc:source>
	<dc:source>2252-6765</dc:source>
	<dc:source>10.15294/aaj.v6i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/aaj/article/view/11343/9439</dc:relation>
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