PREDIKTOR FINANCIAL DISTRESS DI INDUSTRI TEKSTIL DAN GARMENT YANG TERDAFTAR DI BEI

Daneswari, Pramesta Khusuma (2020) PREDIKTOR FINANCIAL DISTRESS DI INDUSTRI TEKSTIL DAN GARMENT YANG TERDAFTAR DI BEI. Skripsi thesis, Sekolah Tinggi Ilmu Ekonomi Indonesia Jakarta.

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Abstract

Penelitian ini bertujuan untuk memprediksi financial distress di Industri Tekstil dan Garment yang terdaftar di BEI tahun 2015-2019. Variabel independen penelitian ini adalah kinerja keuangan terdiri dari Current Ratio (CR), Debt to Equity Ratio (DER), Total Assets Turnover (TATO), Return on Equity (ROE) dan Ukuran Perusahaan menggunakan Ln Total Asset. Populasi penelitian ini adalah Perusahaan Papan Pengembangan Tekstil dan Garment yang Terdaftar di BEI. Sampel ditentukan berdasarkan metode pusposive sampling, dengan jumlah sampel sebanyak 5 perusahaan. Periode penelitian selama 5 tahun dalam jangka waktu kuartal sehinggan sehingga diperoleh total observasi data penelitian ini sebanyak 100. Teknik analisis data dengan menggunakan analisis regresi logistik dengan alat bantuan aplikasi E-Views10. Hasil penelitian ini adalah Current Ratio(CR) dan Debt to Equity Ratio (DER)negatif dan tidak berpengaruh terhadap financial distress di Industri Tekstil dan Garment yang terdaftar di BEI tahun 2015-2019.Total Asset Turnover (TATO) dan Return on Equity (ROE) berpengaruh negatif signifikan terhadap financial distress di Industr Tekstil dan Garment yang terdaftar di BEI tahun 2015-2019. Sedangkan Ukuran Perusahaan berpengaruh positif signifikan terhadap financial distress di Industri Tekstil dan Garment yang terdaftar di BEI tahun 2015-2019. This research aims to predict financial distress in the Textile and Garment Industry registered in IDX in 2015-2019. The independent variables of this study are liquidity performance, solvency peformance, activity performance, profitability performance, and company size. The population of this study is a Textile and Garment Development board Company Registered in IDX. The sample is determined based on pusposive sampling method, with the number of samples as many as 5 textile and garment companies, so the total observation of this research data is as many as 100 observations. Data analysis techniques using logistics regression analysis with the E-Views10 application help tool. Based on the results of the liquidity performance variable determination coefficient, the current ratio has negative results and has no effect on financial distress in the textile and garment industries listed in IDX 2015-2019. Variable solvency performance projected by debt to equity ratio obtains negative results and has no effect on financial distress in the textile and garment industries listed in IDX in 2015-2019. The variable performance of activities projected by total asset turnover obtained significant negative results limited financial distress in textile and garment indutri registered in IDX in 2015-2019. Variable profitability performance projected by return on equity has a significant negative impact on financial distress in the textile and agrment industries listed on IDX in 2015-2019. and Variable size of the company projected by the log naturan total assets obtained a significant positive result on financial distress in the textile and garment industries listed in IDX in 2015-2019.

Item Type: Thesis (Skripsi)
Contributors:
ContributionContributorsNIDNEmail
Thesis advisorHR, ImronUNSPECIFIEDimron_hr@stei.ac.id
Subjects: Manajemen > Manajemen Keuangan
Divisions: S1 Manajemen
Depositing User: Mrs PRAMESTA KHUSUMA DANESWARI
Date Deposited: 28 Dec 2020 00:10
Last Modified: 28 Dec 2020 00:10
URI: http://repository.stei.ac.id/id/eprint/1988

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