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All Journal DeReMa (Development Research of Management) Jurnal Manajemen Jurnal Ilmiah Edunomika (JIE)
Dinda Azzahra
Universitas Setia Budi Surakarta
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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DETEKSI FINANCIAL DISTRESS PADA INDUSTRI PERTAMBANGAN DI ASIA TENGGARA [DETECTION OF FINANCIAL DISTRESS IN THE MINING INDUSTRY IN SOUTHEAST ASIA] Dinda Azzahra; Yunus Harjito; Agus Endrianto Suseno
DeReMa (Development Research of Management): Jurnal Manajemen Vol 16, No 1 (2021): May
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/derema.v16i1.3367

Abstract

This study aims to reveal and detect potential financial distress in the mining industry in Southeast Asia. Detection of potential financial distress is carried out on financial ratios, including profitability , liquidity , leverage and operating capacity. Financial distress proxied by using Altman Model Modification or popularly known as the Z-Score. The population in this study are mining companies listed on the Stock Exchange in Southeast Asia. Methods purposive sampling used to obtain the sample size of the population used and obtained as many as 140 samples were comprised of 84 companies over three years (2017-2019). Data Analysis used in this study is panel data regression analysis using software Eviews 9. The results showed that the profitability of a positive influence on financial distress and operating capacity negatively affect the potential financial distress . But two other variables namely liquidity and leverage that could be expected to affect the financial distress but not proven effect on the financial distress.Abstrak dalam Bahasa Indonesia Penelitian ini bertujuan untuk mengungkap dan mendeteksi terjadinya potensi financial distress pada industri pertambangan di Asia Tenggara. Deteksi potensi financial distress dilakukan terhadap rasio-rasio keuangan, diantaranya adalah profitabilitas, likuiditas, leverage, dan operating  capacity. Financial distress diproksikan dengan menggunakan Model Altman Modifikasi atau yang  populer dikenal dengan Z-Score. Populasi dalam penelitian ini adalah perusahaan pertambangan yang terdaftar di Bursa Efek se Asia Tenggara. Metode purposive sampling digunakan untuk memperoleh ukuran sampel dari populasi yang digunakan dan diperoleh sebanyak 140 sampel yang terdiri dari 84 perusahaan selama 3 tahun (2017-2019). Analisis data yang digunakan dalam penelitian ini adalah analisis regresi data panel dengan menggunakan Software Eviews 9. Hasil penelitian menunjukkan bahwa profitabilitas berpengaruh positif terhadap financial distress dan operating capacity berpengaruh negatif terhadap potensi financial distress. Namun dua variabel lainnya yakni likuiditas dan leverage yang diduga dapat mempengaruhi financial distress akan tetapi tidak terbukti berpengaruh terhadap financial distress. 
Analisis Potensi Financial Distress Industri Pertambangan di Asia Tenggara Dinda Azzahra; Yunus Harjito; Agus Endrianto Suseno
JURNAL ILMIAH EDUNOMIKA Vol 5, No 1 (2021): EDUNOMIKA : Vol. 05, No. 01, 2021
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v5i1.1733

Abstract

The purpose of this study is to analyze the effect of profitability ratio, liquidity ratio, leverage ratio, and operating capacity ratio on financial distress potential. The population in this study are mining companies listed on the Asia Tenggara Stock Exchange in the period 2017-2019. The sample in this study amounted to 140 samples obtained from 84 companies for 3 years with a purposive sampling method. The analysis technique in this study is panel data regression analysis using eviews 9. The results showed that profitability did no influenced the finacial distress potential, liquidity ratio did no influenced the finacial distress potential, leverage ratio did no influenced the finacial distress potential, and operating capacity ratio has a negative effect on finacial distress potential.
Co-Authors Harjito, Yunus Suseno Suseno Yunus Harjito Yunus Harjito