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Pengaruh Struktur Aset dan Stabilitas Pendapatan terhadap Struktur Modal di BPRS PNM Mentari Garut Syalsabila Raikhan Aulia; Widya Sari
Jurnal Accounting Information System (AIMS) Vol. 5 No. 2 (2022)
Publisher : Ma'soem University

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Abstract

Based on the observation, that the background of this research is the fluctuating asset structure and income stability at BPRS PNM Mentari garut for the 2017 - 2021 period, thus causing fluctuations in the capital structure of the bank.This study aims to find out how the influence of asset structure and income stability on capital structure in BPRS PNM Mentari Garut period 2017 - 2021 either partially or simultaneously.The object of research in this report is to measure the capital structure. As for this type of research is quantitative associative with secondary data types with data collection techniques in the form of observation, interviews, documentation and literature study. The population in this study are all published financial reports of BPRS PNM Mentari Garut. The sampling technique was carried out by non-probability sampling, so that a sample was obtained, namely the quarterly financial statements for the period 2017-2021. The results showed that there was an influence between the asset structure on the capital structure at BPRS PNM Mentari Garut with the results of the t-test, namely the value of tcount > ttable (3, 02 > 1.73406). However, there is no significant effect between income stability and capital structure in BPRS PNM Mentari Garut, with the results of the t test, namely tcount < ttable (-0.776 < 1.73406). While, simultaneously the asset structure and income stability in BPRS PNM Mentari Garut affect the capital structure. This is indicated by the value of Fcount > Ftable (12.2 > 3.59.)
Volatilitas Saham Sektor Teknologi yang Terdaftar di Indeks Saham Syariah Indonesia pada Masa Pandemi COVID-19 Widya Sari; Susilo Setiyawan
Jurnal Accounting Information System (AIMS) Vol. 6 No. 1 (2023)
Publisher : Ma'soem University

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Abstract

Based on the results of data documentation, that the background to this research is investment risk, especially during the COVID-19 pandemic and also the uncertainty of stock returns. This study aims to analyze which technology companies have the highest and lowest volatility during the COVID-19 pandemic and find out which univariate ARCH-GARCH model is the best. This research is a descriptive quantitative research, in which the company sample selection uses a purposive sampling method. With the criteria of stocks belonging to the technology sector on the Indonesia Stock Exchange, and also having to be included in the List of Sharia Securities consecutively, to fulfill the research period. The data analysis used in this study is descriptive statistical analysis and time series analysis with 10 samples of technology company stock data. The results showed that the technology company with the highest volatility was PT NFC Indonesia Tbk. (NFCX). Meanwhile, the technology company with the lowest volatility is PT Hensel Davest Indonesia Tbk. (HDIT). The model that best describes the volatility of technology companies during the COVID-19 pandemic is ARCH (2.2).
Metode RGEC untuk Menganalisis Kesehatan Bank di Bank BRI Syariah Widya Sari; Dea Nur Sadilah
Jurnal Maps (Manajemen Perbankan Syariah) Vol. 5 No. 1 (2021)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/maps.v5i1.83

Abstract

The background of this research is the fluctuation in financial ratios which is influenced by the amount of non-performing financing, the amount of third party funds released for financing, the ability of bank management to control the efficiency of the company, and the adequacy of capital owned by the bank. So that with the aim of knowing the level of bank soundness at BRI Syariah Bank for the period 2016 - 2020, an analysis is carried out according to the Financial Services Authority Regulation No. 8/POJK.03/2014 concerning the assessment of the soundness level of Islamic commercial banks and sharia business units, namely by using the RGEC method. In this study, the method used is a qualitative research with a descriptive approach. Secondary data is obtained from the BRI Syariah Bank Annual Report and the GCG Implementation Report published on the company's official website. Data collection was carried out by the author using documentation and literature studies. In this study, the steps taken in data analysis are data collection, data reduction, data presentation, and drawing conclusions. The results of the study indicate that the health level of BRI Syariah Bank according to the Risk Profile factor is Healthy and Very Healthy. The Good Corporate Governance factor received the title of Healthy. Earning factor obtained the predicate of Unhealthy and Unhealthy. And Capital Factor received the title Very Healthy.