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All Journal Jurnal Riset Akuntansi dan Keuangan Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) PERMANA : Jurnal Perpajakan, Manajemen, dan Akuntansi Jurnal Ekonomi, Teknologi dan Bisnis Blantika : Multidisciplinary Journal
Rivanda, Agil Krisna
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Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health

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Analisis Perbandingan Model Prediksi Financial Distress pada Sub Sektor Textile dan Garment Rivanda, Agil Krisna; Muslim, Ade Imam
Jurnal Riset Akuntansi dan Keuangan Vol 9, No 3 (2021): Jurnal Riset Akuntansi dan Keuangan. Desember 2021 [DOAJ & SINTA Indexed]
Publisher : Program Studi Akuntansi FPEB UPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jrak.v9i3.32450

Abstract

Abstract. The aims of this study is to identify the variables used in financial distress prediction dominantly and to identify the best accuraction and clasification from the financial distress prediction models. The objects are 15 textile and garment companies listed in Indonesia Stock Exchange since 2010 to 2018 using logistic regression and multiple discriminant analysis methods. The variables used financial ratios indicators from the aspects of the operation capacity, liquidity, profitability, solvency, asset management capacity and growth capacity. The results of the study suggest that the model based on a logit function out performs the classification accuracy of the discriminant model. The classification power created by logistic regression was 85.92% while the classification power created by multiple discriminant analysis was 83.70%. The best accuracy came from logistic regression models with 71 from 71 observations predicted fall into health firm category were classified correctly (100%), and 19 from 64 textile and garment companies repondends predicted fall into financial distress category were classified correctly (70,30%). The most significant predictors of impeding firms failure appear to be debt to equity ratio, return on assets ratio, return on equity ratio and working capital to total assets. Keywords. Financial distress prediction; Financial ratio; Logistic regression, Multivariate discriminant analysis
PREDICTING CORPORATE BANKRUPTCY: BASED ON MDA TEXTILE AND GARMENT ON INDONESIA STOCK EXCHANGE Afgani, Kurnia Fajar; Rivanda, Agil Krisna; Purbayati, Radia

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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (74.74 KB) | DOI: 10.31955/mea.v5i2.1392

Abstract

During the Covid-19 Pandemic, Indonesian companies, especially the various industrial sectors, were affected in various ways. This may have an impact especially in the textile and garment sub-sector, while one of the strategic sectors that continue to make a significant contribution to the national economy, such as exports of non-oil foreign exchange earner, employment, and domestic needs. It is therefore important to know the company's bankruptcy to do with predicting bankruptcy. This study uses a statistical model of multiple discriminant analysis (MDA). This is a model developed by Altman in a study to predict the failure of a company.The statistical method used is discriminant analysis using five Altman variables, namely working capital/total assets, retained earnings/total assets, earnings before interest/total assets, and taxes, market value equity to book value of total debt and sales to total assets. There are 17 textile and garment companies available on the Indonesia Stock Exchange for the period 2015 to 2020. The results also show that the five independent variables used are significant in distinguishing between the bankruptcy prediction group and the non-bankruptcy prediction group through the F test and the Wilks Lambda test. At < 0.05, the ratio of WC/TA and EBIT/TA is the most dominant independent variable in distinguishing between groups that are predicted to be bankrupt and not bankrupt
PENGARUH BI RATE DAN INFLASI TERHADAP IHSG DENGAN NILAI TUKAR SEBAGAI VARIABEL MODERATING Rivanda, Agil Krisna; Arif, Imam Akbar Ilham; Ramadhan, Reviandi
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 6 No 2 (2022): Edisi Mei - Agustus 2022
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.889 KB) | DOI: 10.31955/mea.v6i2.2083

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh BI rate dan inflasi terhadap indeks harga saham sektor barang konsumsi, keuangan, dan properti, dengan nilai tukar USD/IDR sebagai variabel moderasi. Penelitian ini menggunakan data periode tahun 2016 hingga tahun 2021. Moderated Regression Analysis (MRA) untuk menguji dan menganalisis model yang telah disusun menggunakan pengujian hipotesis. Hasil penelitian menunjukkan bahwa nilai tukar tidak dapat memoderasi pengaruh BI rate dan inflasi terhadap sektor barang konsumsi. Sedangkan pada sektor keuangan dan properti menunjukkan bahwa nilai tukar USD/IDR berpengaruh terhadap dampak BI rate dan inflasi. Uji secara parsial membuktikan bahwa inflasi tidak berpengaruh terhadap sektor barang konsumsi, keuangan, dan properti, sedangkan BI rate berpengaruh, kecuali sektor properti.
Pengaruh Moralitas Individu, Pengendalian Internal dan Whistleblowing System terhadap Pencegahan Kecurangan pada Perum Bulog Kota Bandung Maulana, Muhammad Asril; Rivanda, Agil Krisna; Abirukmana, Rizki Pratama; Dwiastuti, Shella Salsabila
Blantika: Multidisciplinary Journal Vol. 3 No. 8 (2025): Special Issue
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/blantika.v3i8.395

Abstract

Penelitian ini dilatarbelakangi oleh tingginya kasus kecurangan (fraud) di Perum Bulog Kota Bandung, yang menimbulkan kerugian finansial signifikan bagi negara. Kecurangan tersebut meliputi penyalahgunaan aset, korupsi, dan penipuan laporan keuangan. Tujuan penelitian ini adalah untuk menganalisis pengaruh moralitas individu, pengendalian internal dan whistleblowing system terhadap pencegahan kecurangan pada Perum Bulog Kota Bandung. Populasi dalam penelitian ini diambil dari karyawan internal Perum Bulog Kota Bandung dengan total sebanyak 45 responden . Teknik pengambilan sampel data dalam penelitian ini menggunakan probability sampling dengan metode simple random sampling sebanyak 31 responden. Jenis pengumpulan data dalam penelitian ini berasal dari data primer yang diperoleh melalui kuesioner yang disebarkan kepada karyawan internal Perum Bulog Kota Bandung. Metode analisis yang digunakan dalam penelitian ini adalah analisis multivariat dengan pendekatan analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa moralitas individu, pengendalian internal dan whistleblowing system berpengaruh signifikan terhadap pencegahan kecurangan pada Perum Bulog Kota Bandung. Dengan demikian semakin tinggi tingkat moralitas individu, semakin kuat pengendalian internal, dan semakin efektif whistleblowing system, maka akan semakin tinggi efektivitas pencegahan kecurangan.
Faktor Determinan Financial Distress Rivanda, Agil Krisna; Kartadjumena, Eriana
Permana : Jurnal Perpajakan, Manajemen, dan Akuntansi Vol. 17 No. 2 (2025): August
Publisher : Faculty of Economics and Business, University of Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/permana.v17i2.545

Abstract

Penelitian ini bertujuan untuk mengetahui kecen­de­ru­ngan kemampuan variabel-variabel prediktor yang diguna­kan dalam mendeteksi kondisi financial distress. Variabel prediktor financial distress yang digunakan adalah indikator rasio keuangan dari aspek leverage berupa debt to equity ratio, likuiditas berupa current ratio, operating capacity berupa sales to total assets ratio, profitabilitas berupa return on assets ratio, dan rasio nilai pasar berupa market value equity to book value of total debt ratio. Populasi dalam penelitian ini adalah laporan keuangan yang dipublikasikan dari seluruh perusahaan sektor industri barang konsumsi yang terdaftar di Bursa Efek Indonesia periode 2017 sampai dengan 2021. Sampel yang digunakan berjumlah 63 perusahaan dengan jumlah observasi sebanyak 306 yang diperoleh dengan menggunakan teknik sampling jenuh. Penelitian ini menggunakan data sekunder yang diperoleh melalui data laporan keuangan perusahaan yang diunduh dari website Bursa Efek Indonesia. Metode analisis yang digunakan adalah regresi logistik dengan menggunakan program Statistical Product and Service Solutions (SPSS) versi 22. Hasil penelitian menunjukkan bahwa variabel prediktor return on assets ratio, sales to total assets ratio, debt to equity ratio, dan market value equity to book value of total debt ratio memiliki kecenderungan untuk dapat mendeteksi kondisi financial distress. Sedangkan variabel prediktor current ratio tidak memiliki kecenderungan untuk dapat mendeteksi kondisi financial distress.
The Effect of Good Corporate Governance (GCG) and Bank Size on Financial Performance with Non-Performing Financing (NPF) as a Moderating Variable in Islamic Banking in 2019-2023 Maulana, Muhammad Asril; Rivanda, Agil Krisna; Nugraha , Galih
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 2 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i2.178

Abstract

The growth of the Islamic banking industry in Indonesia shows a significant increase, which triggers competition between Islamic banks and conventional banks. In this context, Good Corporate Governance (GCG) and bank size play an important role in influencing financial performance, as measured by Return on Assets (ROA). This study aims to analyze the effect of GCG and bank size on financial performance with Non-Performing Financing (NPF) as a moderating variable. This study uses data from 10 Islamic banks registered with OJK during the 2019-2023 period, using purposive sampling method. The data were analyzed using panel regression and Moderated Regression Analysis (MRA) to test the proposed hypothesis. The results showed that GCG and bank size have a positive and significant effect on ROA. However, NPF is not able to moderate the effect of GCG and bank size on ROA. This finding confirms the importance of good GCG implementation and effective risk management in improving the financial performance of Islamic banks. Although NPF does not moderate the relationship between GCG and bank size on ROA, risk management is key in maintaining good financial performance. An increase in the number of independent commissioners is expected to support better company conditions. This study concluded that GCG and bank size have a significant influence on the financial performance of Islamic banks. To improve financial performance, it is important for Islamic banks to optimize the implementation of GCG and manage financing risks well. Future research is recommended to expand the number of samples and variables studied in order to obtain more accurate and comprehensive results.
Co-Authors Abirukmana, Rizki Pratama Ade Imam Muslim Afgani, Kurnia Fajar Arif, Imam Akbar Ilham Dwiastuti, Shella Salsabila Eriana Kartadjumena Galih Nugraha Muhammad Asril Maulana Purbayati, Radia Ramadhan, Reviandi