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The Determinants of Capital Structure on China-Listed Construction Companies Chandra Setiawan; Qu Yumeng
JAAF (Journal of Applied Accounting and Finance) Vol 5, No 1 (2021): JAAF (Journal of Applied Accounting and Finance)
Publisher : President University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jaaf.v5i1.1459

Abstract

Contruction companies in China debt to asset ratio around 76.16 % to 82.67% compared to other countries in average below 40%. Therefore, the objective of this research is to find out the determinants of the capital structure of listed construction companies in China. By employing the panel multiple regression model to meet the research objective. Through purposive sampling technique 10 listed companies in the construction industry from 2012 to 2019 are selected as samples, so there are 80 observations sample.  The variable used to proxy capital structure is total debt ratio, and the independent variables are profitability, asset tangibility, firm size, growth opportunities, non-debt tax shield, interest rate and inflation rate. Among the independent variables been tested, the results reveal that five independent variables, except non-debt tax shield and inflation rate have a significant impact toward capital structure. Interest rate is the most significant influence variable. Finally, this research puts forward relevant suggestions for the optimization of the company's capital structure.
PREDICTING FINANCIAL DISTRESS USING DEA AND ALTMAN’S MODEL ON STEEL AND IRON INDUSTRY INDONESIA Chandra Setiawan
JURNAL MANAJEMEN DAN BISNIS SRIWIJAYA Vol 18, No 1 (2020): Jurnal Manajemen dan Bisnis Sriwijaya
Publisher : Program Studi Magister Manajemen FE Unsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29259/jmbs.v18i1.12727

Abstract

Financial distress is a company’s inability to meet their financial obligation, which finally leads to going bankruptcy. Financial distress is then used as an early warning signal before going bankrupt. Therefore, financial distress should be predicted as preventive actions. This study main objective is to compare the traditional predictions tools, Altman’s Z-score model, with the new propose Data Envelopment Analysis (DEA) approach method. Focusing on Indonesia steel and iron industry, this study examines using 7 steels and iron companies which listed in IDX from the period of 2013- 2018.  Starting from constructing the model of DEA in predicting distress, the accuracy test of both models is compared. The results reveal that DEA’s approach prediction has a higher accuracy rate compared to the Altman’s model. DEA with a total of 39 correct predictions out of 42 samples generate an accuracy rate of 92.86%. This rate is higher than the Altman’s model with the accuracy rate of 85.71% which resulting from a total of 36 correct predictions out of 42 samples. The method, especially DEA to predict financial distress for Steel and Iron Companies in Indonesia is the significant contribution to science.Keywords: Altman (Z-Score), DEA, Financial Distress
THE DETERMINANTS OF ROA (RETURN ON ASSETS) OF FULL-FLEDGED ISLAMIC BANKS IN INDONESIA Shinta Amalina Hazrati Havidz; Chandra Setiawan
MIX: JURNAL ILMIAH MANAJEMEN Vol 5, No 1 (2015): MIX: Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.741 KB)

Abstract

Abstract.The main objectives of this research is to examine the determinants of ROA (Return on Assets) of Full-fledged Islamic banks in Indonesia in the period of January 2008 – December 2011 using monthly-published report data of Central Bank (Bank Indonesia) with 3 full-fledged Islamic banks in Indonesia as the samples of the research. Panel Least Square is applied as the research method where those data had been tested with the classical assumption test, such as: normality, autocorrelation, multicollinearity and heteroscedasticity tests. However, the data could not fulfill the normality test, while the remaining assumption tests is fulfilled. The findings reveal that Financing to Deposit Ratio (FDR), Debt to Total Assets Ratio, Capital Adequacy Ratio (CAR), Size and Operational Efficiency Ratio (OER) have significant effect simultaneously towards ROA. Partially, FDR, DTAR, and CAR have positive effect and significant towards ROA, while size and OER have negative effect and significant towards ROA.Size is the highest coefficient among the determinant variables, while FDR is the weakest coefficient that effect ROA in the full-fledged Islamic banks in Indonesia.Keywords: return on assets , Financing to Deposit Ratio, Debt to Total Assets Ratio, Capital Adequacy Ratio, Size, Operational Efficiency Ratio
The Effect of Financial Ratios and Firm Size Toward Stock Price of Consumer Goods Industry Listed in the IDX Hanifah Fathinah; Chandra Setiawan
Nusantara Science and Technology Proceedings 1st ICEMAC 2020: International Conference on Economics, Management, and Accounting
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.1025

Abstract

This study aims to find out the effects of financial ratios and firm size toward the stock price for the consumer goods industry both partially and simultaneously with valuation ratio as a moderating variable as well as to find out the most significant independent variable. The independent variables are proxied by PBV, EPS, DER, SIZE, NPM, and lastly ROA. PER is a proxy of the valuation ratio as a moderating variable and stock price as a dependent variable. This research implements both multiple and moderated regression analysis. The population used in this research is the consumer goods industries with seven companies fulfilling the purposive sampling criteria and using quarterly data within the years 2015 to 2019. Therefore, there are 140 data observations. The results of the research reveal that only PBV does not have a statistically significant effect on the stock price. The variation of the independent variables can explain the 64.02% variation of the stock price. PER as a moderating variable can strengthen the EPS variable to influence the stock price. Among those independent variables, EPS is the most significant variable in its effect on the stock price.
Capital structure, liquidity, and firm size impact on profitability of mining industry in Indonesia Chandra Setiawan; Nemisia Freitas de Jesus Pereira
Proceeding of the International Conference on Family Business and Entrepreneurship 2022: Proceeding of the 5th International Conference on Family Business and Entrepreneurship
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.345 KB) | DOI: 10.33021/icfbe.v2i1.3569

Abstract

The aim of this research is specifically for measuring the impact of capital structure, liquidity, and firm size on mining industry profitability in Indonesia, both partially and simultaneously. There are five independent variables within this study that are examined by descriptive statistical analysis, classical assumption test, multiple linear regression, and hypothesis testing. In order to select the observation data, purposive sampling method and panel data were used. Adopting quantitative research, there are 119 observation data from 17 samples within the period of 2013 to 2019. Financial ratios used in this study are Debt-to-equity Ratio, Short-term Debt to Asset ratio, Long-term Debt to Asset ratio, Current Ratio, Firm Size, and Return on Equity. DER, STDA, and LTDA are used as the measurement for capital structure, CR as the proxy of liquidity, and FIRMSIZE. Meanwhile, the proxy of profitability is Return on Equity (ROE) which is the dependent variable in this study. The findings of the study reveal that DER, LTDA, and Firm Size all have a significant impact on ROE. On the other hands, STDA and CR do not have a significant effect toward ROE. The most significant independent variable toward ROE is DER.
The financial performance before and after mergers and acquisitions of State-owned Islamic banks in Indonesia Mulfi Rahman; Chandra Setiawan; Chongmi An
Proceeding of the International Conference on Family Business and Entrepreneurship 2022: Proceeding of 6th International Conference on Family Business and Entrepreneurship
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/icfbe.v3i1.3817

Abstract

This study aims to explore which variables have the most significant influence on Return on Assets (ROA) and differences in financial performance after Mergers and Acquisitions (M&A) of Sharia banks in Indonesia. By using purposive sampling and panel data analysis, this study uses three samples, namely PT Bank Rakyat Indonesia Syariah (BRIS), PT Bank Negara Indonesia Syariah (BNIS) an d PT Bank Syariah Mandiri (BSM). 77 secondary data have been collected from the financial statements between periods 2015Q1-2020Q4 for the timeline before the M&A and 2021Q1-2021Q2 for the timeline after. This study uses several analytical methods, namely Mann-Whitney Test, classical assumptions, multiple linear regression, and hypothesis testing. Based on research conducted prior to the M&A, the results show that the Capital Adequacy Ratio (CAR) and Operating Expense to Operating Income (OEOI) have a significant effect on ROA. Meanwhile, Non-Performing Financing (NPF), Finance to Deposit Ratio (FDR), and Third-Party Fund have no significant effect on ROA. Simultaneously, the five variables account for 72.80% of the significant change in ROA. The capital adequacy ratio and operating expense to operating income have been identified as having the most significant impact. In terms of the direction of change before and after the M&A, ROA has significantly increased after the M&A, implying that the M&A had a positive impact on Sharia banks in Indonesia.
Predicting Financial Distress Using DEA and Multivariate Discriminant for Tourism, Restaurant, and Hotel Sector in Indonesia Perina Amelia; Chandra Setiawan
Journal of International Conference Proceedings Vol 5, No 4 (2022): FEBIC International Conference Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v5i4.1936

Abstract

Financial distress is a condition in which a company experiences decline and difficulty to fulfil its financial obligations. Financial distress prediction aims to identify early warning indicators of impending financial disaster so businesses can begin financial reconstruction at the appropriate moment. This study aims to compare the statistically significant difference results of various financial prediction models and the level of accuracy of each model in 25 companies engaged in the hotel, restaurant, and tourism sectors in 2018-2021. By using Kruskal-Wallis Test, Mann-Whitney Post Hoc Test, and accuracy test to compare each model. The results of this study are based on the Kruskal-Wallis test, all models used are statistically significant differences. Meanwhile, when paired using the Mann-Whitney Post-Hoc Test, it was found that the Springate and Grover models did not have a statistically significant difference. In addition, the results of the test accuracy show that the DEA accuracy rate of 79%, and the Springate model with the lowest accuracy of 33%. The results interpret that each model has its own indicator for predicting financial distress. It is recommended in examining the financial distress of hotel, restaurant, and tourism companies using DEA model since it results in the highest accuracy rate. Keywords: DEA, financial distress, multivariate discriminant analysis
PERBEDAAN AKTIVITAS BELAJAR PKN ANTARA YANG MENGGUNAKAN METODE PROBLEM SOLVING (PEMECAHAN MASALAH) DAN PROBLEM POSING (PENGAJUAN MASALAH): (Studi Eksperimen di SMA Negeri 76 Jakarta ) Yosy Triyani; Chandra Setiawan
Sindoro: Cendikia Pendidikan Vol. 4 No. 1 (2024): Sindoro: Cendikia Pendidikan
Publisher : Cahaya Ilmu Bangsa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9644/sindoro.v4i1.2860

Abstract

Penelitian bertujuan untuk mengetahui secara empiris apakah terdapat perbedaan aktivitas Belajar PKn antara yang menggunakan metode problem solving (pemecahan masalah) dan metode problem posing (pengajuan masalah). Penelitian ini merupakan studi eksperimen, yaitu penelitian yang menggunakan kelas eksperimen dan kelas kontrol sebagai kelas pembanding yang dilakukan pada SMAN 76 Jakarta dan dilaksanakan di kelas XI-IPA 2 dan XI-IPA 1. Pemilihan sampel dengan menggunakan metode sensus dengan catatan kedua kelas tersebut memiliki kesamaan dalam kemampuan dan tingkat aktivitas belajarnya. Bertindak sebagai kelas eksperimen, yaitu kelas XI-IPA 2 dengan jumlah sampel 38 orang yang merupakan kelas yang diberi perlakuan, yaitu dalam proses pembelajaran PKn menggunakan penerapan metode problem solving dan kelas XI-IPA 1 dengan jumlah sampel 38 orang sebagai kelas kontrol. Hasil penelitian dan pengolahan data didapatkan pada kelas eksperimen nilai rentang sebesar 75 sampai 81 dan nilai rata-rata sebesar 100,26. Kelas kontrol didapatkan mempunyai rentang nilai 79 sampai 85 dan nilai rata-rata sebesar 93,13. Untuk uji normalitas pada kelas eksperimen dan kelas kontrol, keduanya didapat kelas eksperimen Lhitung = 0,099 > Ltabel = 0,143 dan kelas kontrol Lhitung = 0,100 > Ltabel = 0,143 maka kedua data baik kelas eksperimen maupun kelas kontrol berdistribusi normal. Sedangkan uji homogenitas didapatkan harga Fhitung homogenitas sebesar 1,54, sedangkan harga Ftabel (0,05;39;38) sebesar 1,90. Hasil penelitian tersebut menyimpulkan bahwa aktivitas belajar PKn dengan menggunakan metode problem solving (pemecahan masalah) lebih tinggi daripada menggunakan metode problem posing (pengajuan masalah). Proses pembelajaran dengan metode problem solving lebih menyenangkan dan merangsang peserta didik untuk menjadi aktif, kreatif dan kritis serta menumbuhkan kemampuan dalam menyelesaikan suatu masalah sehingga menimnbulkan semangat belajar yang tinggi.