42 research outputs found

    PREDIKSI KEBANGKRUTAN BANK-BANK YANG TERDAFTAR DI BURSA EFEK INDONESIA

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    The purpose of this study was to investigate whether CAMELS ratios could be used to predict Bank bankruptcy.This study used seven ratios that represented CAMELS ratios. Logic regression Model used showedthat model fit and prediction accuracy was as much as 81.2%. It led us to the conclusion that the CAMELSratios could be used to predict bank bankruptcy. The research showed that only CAR (Capital) negatively andsignificantly influenced the prediction of Bank bankruptcy. The other variables, NPL (Asset quality), ROA(Management), NIM (Earnings), LDR (Liquidity), Price/Earning (Sensitivity) and size (Sensitivity) did nothave any significant influence to predict bank bankruptcy. This model also showed us that variability of anindependent variable could be explained by the dependent variability as much as 43.5%

    Islamic Bank Listed in Financial Market: Risk, Governance, Earning, and Capital

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    Islamic Bank is a bank that applies Islamic principles in running the business. Until 2015, there were 12 Islamic Bank in Indonesia; one of them already listed on the stock market. The purpose of this study was to analyze differences in the bank's soundness was assessed using a bank's risk profile, good corporate governance, income, and capital (RGEC) between listed Islamic Banks and the unlisted ones. Using the data period 2011-2015 used the independent t-test to test for differences. Statistical tests showed that there is no significant difference in credit risk as measured by NPF and Earning as measured by BOPO that represent cost efficiency between the two groups of companies. Listed Islamic banks have lower credit risk and greater efficiency than the unlisted onesDOI: 10.15408/aiq.v9i1.401

    Pengaruh Leverage, Liquidity, Firm Size Dan Institutional Ownership Terhadap Dividend Policy

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    The purpose of this study is to reveal how leverage, liquidity, firm size and institutional ownership affect dividend policy in the property and real estate sector companies listed on the Indonesia Stock Exchange for the 2015-2021 period. The data applied in this study is secondary data obtained from annual reports or financial reports published on the Indonesia Stock Exchange website or company website. The sampling technique applied in this research is purposive sampling and obtained 6 companies from 79 research objects. The regression model applied is panel data regression. The results of the study reveal that there is a simultaneous influence of independent variables, namely leverage, liquidity, firm size and institutional ownership on dividend policy in property and real estate sector companies in 2015-2021. Partially, liquidity has a significant positive effect on dividend policy, while leverage, firm size and institutional ownership have no effect on dividend policy

    PENGARUH CORPORATE GOVERNANCE TERHADAP INDIKASI FINANCIAL DISTRESS DENGAN PROFITABILITAS SEBAGAI VARIABEL MODERASI

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    This study aims to determine the effect of corporate governance on financial distress with profitability as a moderating variabel. Corporate governance is a principle applied by the company so that the management of a company becomes more efficient and the company can achieve maximum profit. The sample used in this study was 50 companies in consumer cyclicals sector listed in indonesia stock exchange in 2017 to 2021. Researchers used logistic regression and moderating regression analysis (MRA) techniques. The results showed that the CEO duality, institusional ownership, and gender diversity had no effect on indiaction of financial distress. Size of the board of directors had a negative effect on indication of financial distress. Then profitability can moderate the relationship between the size of the board of directors and financial distress.Penelitian ini bertujuan untuk mengetahui atau menguji pengaruh corporate governance terhadap indikasi financial distress dengan profitabilitas yang berperan sebagai variabel moderasi. Corporate governance merupakan suatu prinsip yang diterapkan oleh entitas agar pengelolaan suatu perusahaan menjadi lebih efisien sehingga perusahaan dapat mencapai tujuan utama yaitu memperoleh laba dengan maksimal. Sampel yang digunakan dalam penelitian ini yaitu 50 perusahaan pada sektor konsumen non-primer yang terdaftar di BEI pada periode 2017 sampai 2020. Peneliti menggunakan teknik analisis regresi logistik dan regresi moderasi. Hasil penelitian menunjukan bahwa dualitas CEO, kepemilikan institusional, dan gender diversity tidak memiliki pengaruh terhadap indikasi financial distress. Sedangkan ukuran dewan direksi berpengaruh negatif terhadap indikasi financial distress. Kemudian profitabilitas dapat memoderasi hubungan ukuran dewan direksi terhadap indikasi financial distress

    Pengaruh Profitabilitas, Struktur Aktiva, Pertumbuhan Perusahaan, Risiko Bisnis Dan Aktivitas Perusahaan Terhadap Struktur Modal

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    ABSTRACT   The purpose of this study is to determine the effect of profitability(ROA), asset structure(SA), company growth (GROWTH), business risk (BEPR), and company activities (TATO) on capital structure (DER) in a large trading sub-sector company listed its shares on the Indonesia Stock Exchange 2013-2018 period simultaneously (simultaneously) or partially (partial). Purposive sampling technique was used in this study for sampling by obtaining 21 company samples with a research period of 6 years, so that 126 data samples were obtained. Processing data using Eviews 9.0, this study uses data from several independent variables, namely profitability (ROA), asset structure (SA), company growth (GROWTH), business risk (BEPR), and company activities (TATO) with the results of research that simultaneously the five independent variables can affect the capital structure. While partially it can be concluded, company growth has a significant negative effect on capital structure and asset structure has a significant positive effect on the dependent variable. Whereas the other variables, profitability, business risk, and company activities cannot influence the capital structure.Keywords                   : Capital Structure; ROA;  SA; GROWTH; BEPR and TATO. ABSTRAKTujuan dilakukan penelitian ini yaitu untuk mengetahui pengaruh profitabilitas (ROA), struktur aktiva (SA), pertumbuhan perusahaan (GROWTH), risiko bisnis (BEPR), dan aktivitas perusahaan (TATO) terhadap struktur modal (DER)  disuatu perusahaaan sub sektor perdagangan besar yang mencatatkan sahamnya di Bursa Efek Indonesia periode 2013-2018 secara bersamaan (simultan) maupun sebagian (parsial). Teknik purposive sampling digunakan dalam penelitian ini untuk pengambilan sampel  dengan peroleh 21 sampel perusahaan dengan periode penelitian 6 tahun, sehingga diperoleh sebesar 126 data sampel. Pengolahaan data menggunakan Eviews 9.0, penelitian ini menggunakan data dari beberapa variabel bebas yaitu profitabilitas (ROA), struktur aktiva (SA), pertumbuhan perusahaan (GROWTH), risiko bisnis (BEPR), dan aktivitas perusahaan (TATO)  dengan hasil penelitian bahwa secara simultan kelima variabel bebas tersebut dapat berpengaruh terhadap struktur modal. Sedangkan secara parsial dapat disimpulkan, pertumbuhan perusahaan memiliki sebuah pengaruh negatif signifikan terhadap struktur modal dan struktur aktiva memilki pengaruh positif signifikan terhadap variabel dependen. Sedangkan pada variabel lainnya yaitu profitabilitas, risiko bisnis, dan aktivitas perusahaan tidak dapat mempengaruhi terjadinya struktur modal. Kata Kunci                          : Struktur Modal; ROA; SA; GROWTH; BEPR dan TATO

    PREDIKSI FINANCIAL DISTRESS MENGGUNAKAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) PERIODE 2017-2021

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    The Earnings Per Share (EPS) value from 2017 to 2021 shows how banking companies listed on the Indonesia Stock Exchange (IDX) did. Several banking companies experienced a decrease in EPS values from 2017 to 2021 and even obtained a negative EPS value which could indicate that the company identified as having a poor profit growth value and even triggering financial distress. This study plans to foresee the event of monetary trouble in financial organizations recorded on the Indonesia Stock Trade for the 2017-2021 period by utilizing a Fake Brain Organization. The info boundaries utilized are monetary proportions, specifically the ongoing proportion, return on resources, obligation to-resource proportion, and complete resource turnover. The results of the study show that the four ratios are suitable for use as input parameters because they provide significant differences between companies that declared distress and non-distress. This study's prediction process utilized an ANN architecture consisting of 20 neurons as the input layer, 5 neurons as the hidden layer, and 1 neuron as the output layer, achieving the highest accuracy of 87 percent. Keywords:  Artificial Neural Network, Financial Distress, Financial Ratios.Kinerja perusahaan perbankan yang terdaftar pada Bursa Efek Indonesia (BEI) digambarkan dengan nilai Earnings Per Share (EPS) dari tahun 2017 hingga tahun 2021. Beberapa asosiasi perbankan mengalami penurunan nilai EPS dari 2017 hingga 2021 bahkan sampai memperoleh nilai EPS negatif yang dapat menunjukkan bahwa perusahaan diidentifikasi memiliki nilai pertumbuhan laba yang kurang baik bahkan memicu terjadinya financial distress. Penelitian ini bertujuan guna memprediksi terjadinya financial distress atas asosiasi perbankan yang tercantum di BEI periode 2017-2021 melalui pemakaian Artificial Neural Network. Parameter input yang digunakan adalah rasio keuangan yaitu current ratio, return on asset, debt to asset ratio, dan total asset turn over. Hasil penelitian menegaskan kalau keempat rasio tersebut cocok guna dipakai selaku parameter input sebab memberikan kontras yang signifikan antara asosiasi yang dinyatakan distress serta non-distress. Arsitektur ANN yang dipakai atas siklus prediksi penelitian ini adalah dengan 20 neuron sebagai input layer, 5 neuron sebagai hidden layer, serta 1 neuron sebagai output layer dengan hasil akurasi terbaik yaitu 87%. Kata Kunci : Artificial Neural Network, Financial Distress, Rasio Keuangan

    PREDIKSI FINANCIAL DISTRESS MENGGUNAKAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) PERIODE 2017-2021

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    The Earnings Per Share (EPS) value from 2017 to 2021 shows how banking companies listed on the Indonesia Stock Exchange (IDX) did. Several banking companies experienced a decrease in EPS values from 2017 to 2021 and even obtained a negative EPS value which could indicate that the company identified as having a poor profit growth value and even triggering financial distress. This study plans to foresee the event of monetary trouble in financial organizations recorded on the Indonesia Stock Trade for the 2017-2021 period by utilizing a Fake Brain Organization. The info boundaries utilized are monetary proportions, specifically the ongoing proportion, return on resources, obligation to-resource proportion, and complete resource turnover. The results of the study show that the four ratios are suitable for use as input parameters because they provide significant differences between companies that declared distress and non-distress. This study's prediction process utilized an ANN architecture consisting of 20 neurons as the input layer, 5 neurons as the hidden layer, and 1 neuron as the output layer, achieving the highest accuracy of 87 percent. Keywords:  Artificial Neural Network, Financial Distress, Financial Ratios.Kinerja perusahaan perbankan yang terdaftar pada Bursa Efek Indonesia (BEI) digambarkan dengan nilai Earnings Per Share (EPS) dari tahun 2017 hingga tahun 2021. Beberapa asosiasi perbankan mengalami penurunan nilai EPS dari 2017 hingga 2021 bahkan sampai memperoleh nilai EPS negatif yang dapat menunjukkan bahwa perusahaan diidentifikasi memiliki nilai pertumbuhan laba yang kurang baik bahkan memicu terjadinya financial distress. Penelitian ini bertujuan guna memprediksi terjadinya financial distress atas asosiasi perbankan yang tercantum di BEI periode 2017-2021 melalui pemakaian Artificial Neural Network. Parameter input yang digunakan adalah rasio keuangan yaitu current ratio, return on asset, debt to asset ratio, dan total asset turn over. Hasil penelitian menegaskan kalau keempat rasio tersebut cocok guna dipakai selaku parameter input sebab memberikan kontras yang signifikan antara asosiasi yang dinyatakan distress serta non-distress. Arsitektur ANN yang dipakai atas siklus prediksi penelitian ini adalah dengan 20 neuron sebagai input layer, 5 neuron sebagai hidden layer, serta 1 neuron sebagai output layer dengan hasil akurasi terbaik yaitu 87%. Kata Kunci : Artificial Neural Network, Financial Distress, Rasio Keuangan

    Analisis Survival Pada Financial Distress Menggunakan Model Cox Hazard

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    ABSTRACTCompanies need a system to prevent the emergence of financial distress to provide early warning if there are financial problems in the company. The research carried out aims to determine how much impact liquidity, leverage, independent commissioners, institutional ownership, managerial ownership, intellectual capital have on financial distress. The selected population is the companies included in the property, real estate, and building construction sector as well as the utility and transportation infrastructure sector for the 2009-2018 period. Purposive sampling technique is used in sampling by obtaining 56 samples. The analysis technique uses survival analysis with Cox Proportional Hazard model. Based on the results of data processing leverage and intellectual capital have a significant impact on financial distress.Keywords                   : Corporate Governance; Financial Distress; Financial Ratios; Intellectual Capital. ABSTRAK Perusahaan memerlukan sistem untuk mengantisipasi timbulnya financial distress guna memberikan peringatan dini apabila ada masalah keuangan pada perusahaan. Riset yang dilakukan tujuannya adalah mengetahui seberapa besar dampak likuiditas, leverage, komisaris independen, kepemilikan institusional, manajerial, intellectual capital terhadap financial distress. Populasi yang dipilih yakni perusahaan yang termasuk ke dalam bidang properti, real estate, dan konstruksi serta infrastruktur utilitas dan transportasi periode 2009-2018. Pengambilan sampelnya memakai teknik purposive sampling dan memperoleh 56 sampel. Teknik analisisnya memakai analisis survival dengan model Cox Proportional Hazard. Berdasarkan hasil pengolahan data leverage dan intellectual capital mempunyai dampak yang signifikan pada financial distress. Kata kunci      : corporate governance; financial distress; intellectual capital; kinerja keuanga

    PENGARUH KINERJA KEUANGAN TERHADAP FINANCIAL DISTRESS DENGAN KEPEMILIKAN MANAJERIAL SEBAGAI VARIABEL MODERASI

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      In facing competition with other business units, a company must maintain its business stability. Individuals who have an interest in an organization trust that this security will keep going quite a while so the organization can keep on running its tasks and can give development to keep up with its business. It is possible for a business to find itself in financial trouble if it is unable to compete with its rivals. This study plans to decide the impact of monetary execution which incorporates the proportion of liquidity, influence, action, and income to monetary misery with administrative proprietorship as a directing variable. Secondary data from the 2017-2021 annual financial reports of companies in the energy sector listed on the Indonesia Stock Exchange were used. MRA and logistic regression are the models that were used in this study. The findings demonstrated that the ratio of liquidity to cash flow can have a significant impact on financial distress, whereas the ratio of leverage to activity cannot have a significant impact on financial distress. Meanwhile, managerial ownership is able to significantly moderate the relationship between the liquidity ratio and financial distress, but not the relationship between the leverage ratio and activity to financial distress. Keywords: Activity; Cash flow; financial distress; leverage, liquidity, managerial ownershipSebuah bisnis harus menjaga stabilitasnya ketika bersaing dengan unit bisnis lainnya. Orang-orang yang tertarik dengan suatu bisnis berharap stabilitas ini akan bertahan lama sehingga bisnis bisa terus menjalankan operasinya serta menawarkan ide-ide baru guna mempertahankan bisnisnya. Financial distress mungkin terjadi pada bisnis yang tidak mampu bersaing dengan saingannya serta tidak bisa bertahan. Penelitian ini berencana guna menentukan dampak eksekusi moneter yang memasukkan proporsi likuiditas, pengaruh, pergerakan, serta pendapatan atas masalah moneter dengan kepemilikan administratif selaku variabel pengarah. Informasi yang dipakai yakni informasi tambahan yang diperoleh dari laporan keuangan tahunan asosiasi bidang energi yang tercatat di BEI periode 2017-2021. Model yang dipakai dalam penelitian ini yakni relaps terhitung serta MRA. Hasilnya menegaskan kalau proporsi likuiditas serta pendapatan secara bersama-sama bisa berdampak atas penderitaan moneter, serta proporsi pengaruh serta tindakan tidak bisa berdampak atas kesengsaraan moneter secara mendasar. Sedangkan kepemilikan manajerial mampu memoderasi hubungan antara rasio likuiditas serta financial distress secara signifikan, namun tidak memoderasi hubungan rasio leverage serta aktivitas atas financial distress. Kata Kunci: Aktivitas; Arus kas; financial distress; leverage, likuiditas, kepemilikan manajerial
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