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Journal : ARBITRASE: JOURNAL OF ECONOMICS AND ACCOUNTING

Financial Technology (FinTech) and Its Impact on Financial Performance of Islamic Banking Siska, Elmira
ARBITRASE: Journal of Economics and Accounting Vol. 2 No. 3 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/arbitrase.v2i3.338

Abstract

As a financial services provider, Islamic banking must be able to keep up with the times by responding to challenges and establishing a competitive advantage through the development of innovative financial products and services using Fintech. The goal of this research is to examine how FinTech services affect Islamic banking's financial performance. With a case study at Bank Syariah Indonesia (BSI), this study used a quantitative-descriptive research design. Financial ratios such as CAR, ROA, ROE, BOPO, FDR, and Finctech service were used as secondary data. The data is in annual time series format ranging from 2016 to 2020. In this study, the program SPSS 21 was used to process the data to perform the Classical Assumption Test, Simple Linear Regression, t-Test, and Coefficient of Determination Test. Finding of current research proves that Fintech service has an impact on the financial performance of BSI in terms of CAR, ROA, ROE, BOPO, and FDR
Digital Bank Financial Soundness Analysis at PT Bank Jago Tbk.: CAMEL Framework Approach Siska, Elmira
ARBITRASE: Journal of Economics and Accounting Vol. 3 No. 3 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/arbitrase.v3i3.700

Abstract

Out of around 250 digital banks in the world, 20% are in Asia Pacific region, and only around 5% have crossed the profitability line. Bank Jago is the sixth digital bank in Indonesia. The objective of current research is to analysis financial soundness of PT Bank Jago Tbk under CAMEL framework which includes capital, assets quality, management, earnings, and liquidity. This study employs non-statistical quantitative methods. Sampling method was utilized is purposive sample technique. The data utilized is secondary data on the financial performance of CAR, KAP, NIM, ROA, and LDR, presented as a yearly time series from 2018 to 2022. The data was taken from PT Bank Jago's yearly report, which is accessible at the bank’s web address. Data analysis was carried out by employing a horizontal analysis technique. Finding of the study conclude that Bank Jago has very strong capital, as indicated by the CAR ratio. Bank Jago's asset quality as reflected on KAP ratio is in good condition. Bank Jago's management, as indicated by the NPM ratio, Bank's profitability as indicated by the ROA ratio, and Bank’s liquidity reflected by the LDR ratio, all off still at an unhealthy level. Going forward, Bank Jago will implement a plan to boost lending by working with partners in a variety of financing goods in order to enhance financial performance.
Do Liquidity and Solvency Ratios Matter to Stock Prices in the Transportation Infrastructure Sub-Sector Companies? Wijaya, Meylynda; Siska, Elmira
ARBITRASE: Journal of Economics and Accounting Vol. 6 No. 1 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/arbitrase.v6i1.2538

Abstract

Stock prices play an important role in reflecting a company's performance in the capital market and are a key consideration for investors before investing. However, the fluctuations in stock prices of Transportation Infrastructure sub sector companies from 2019-2023 raised suspicions of the influence of financial ratios, such as liquidity and solvency ratios. This study aims to determine analysis the effect of liquidity ratio (CR) and solvency ratio (DER) on stock prices of Transportation Infrastructure sub sector companies listed on the Indonesia Stock Exchange for the period 2019-2023. This study uses a quantitative approach in the form of secondary data obtained from the company's financial statements. Sample selection using purposive sampling technique, obtained 6 companies with a total of 30 observation for five years. Data analysis was carried out using SPSS through descriptive statistics, classical assumption test, t-test, and F-tests. The results of the study showed that partially, CR had no significant effect on stock prices with a t-count value of 1.274 < t-table 2.04841 and a significannce of 0.214 > 0.05, while DER had a positive and significant effect with a t-count value of 6.527 > 2.04841 t-table and a significance of 0.000 < 0.05. Simultaneously, CR and DER had a significant effect on stock prices with an F-count value of 30,740 > 3.35 F-table and a significance value of 0.000 < 0.05.