Analisis Faktor-Faktor Yang Memengaruhi Financial Distress Pada Perusahaan Perbankan Menggunakan Model Regresi Logistik Biner

Salwa, Robi'atus (2023) Analisis Faktor-Faktor Yang Memengaruhi Financial Distress Pada Perusahaan Perbankan Menggunakan Model Regresi Logistik Biner. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perusahaan go-public yang terdaftar di BEI terutama perusahaan perbankan juga dapat mengalami financial distress. Financial distress secara garis besar merupakan beberapa situasi di mana suatu perusahaan menghadapi masalah kesulitan keuangan. Financial distress dipengaruhi oleh banyak faktor yang dapat dilihat melalui laporan keuangan perusahaan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang berpengaruh terhadap financial distress, dengan metode regresi logistik biner. Data yang digunakan adalah data sekunder sebanyak 35 data perusahaan periode waktu mulai tahun 2019 sampai 2021. Hasil analisis diperoleh bahwa perusahaan perbankan di Indonesia yang mengalami financial distress perlu dilakukan analisis menggunakan regresi logistik biner. Berdasarkan analisis yang dilakukan variabel yang berpengaruh di perusahaan perbankan Indonesia yang mengalami financial distress adalah variabel Capital adequacy ratio (CAR), Non-performing loan (NPL).
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Go-public companies listed on the IDX, especially banking companies, can also experience financial distress. Broadly speaking, financial distress is a number of situation in which a company faces financial difficulties. Financial distress is influenced by many factors which can be seen through the company's financial statements. This study aims to analyze the factors that influence financial distress, using binary logistic regression method. The data used is secondary data of 35 company data for the time period 2019 to 2021. The results of the analysis show that banking companies in Indonesia experiencing financial distress need to be analyzed using binary logistic regression. Based on the analysis carried out, the influential variables in Indonesian banking companies experiencing financial distress are the Capital Adequacy Ratio (CAR) and Non-performing loans (NPL) variables.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Financial distress, Perbankan, Regresi logistik biner, Banking, Binary logistic regression.
Subjects:	H Social Sciences > HC Economic History and Conditions H Social Sciences > HG Finance Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Robi'atus Salwa
Date Deposited:	13 Mar 2023 01:05
Last Modified:	13 Mar 2023 01:05
URI:	http://repository.its.ac.id/id/eprint/97749

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