ABSTRACT This study aims to empirically examine the effect of liquidity on bank performance through the inclusion of interest rate risk on credit risk (INRISK) as a mediator. Where the inclusion of interest rate risk in credit risk (INRISK) is a novel concept developed from the synthesis of monetary theory, financial intermediation theory and liquidity theory, as an attempt to mediate the research gap between the effect of liquidity on bank performance. This study uses panel data with 30 companies as samples and uses the study period from 2010 to 2018, resulting in 270 observational data. All samples are banking companies listed on the IDX. The analytical tool used in this study was PLS-Sem with the WarpPLS 5.0 application. ABSTRAK Penelitian ini bertujuan untuk menguji secara empiris pengaruh likuiditas terhadap kinerja bank melalui dimasukkannya risiko suku bunga pada risiko kredit (INRISK) sebagai mediator. Dimana dimasukkannya risiko suku bunga dalam risiko kredit (INRISK) adalah konsep baru yang dikembangkan dari sintesis teori moneter, teori intermediasi keuangan dan teori likuiditas, sebagai upaya untuk menengahi kesenjangan penelitian antara pengaruh likuiditas terhadap kinerja bank. Penelitian ini menggunakan data panel dengan 30 perusahaan sebagai sampel dan menggunakan periode penelitian dari 2010 hingga 2018, menghasilkan 270 data observasi. Semua sampel adalah perusahaan perbankan yang terdaftar di BEI. Alat analisis yang digunakan dalam penelitian ini adalah PLS-Sem dengan aplikasi WarpPLS 5.0. JEL Classification: L10, G32
This study determines the Good Corporate Governances (GCG) influence in increasing company value through Return on Assets (ROA). Good Corporate Governance factors used in this research are independent commissioner (IC) and audit committee (AC). Company Value factors used in this research is PBV (Price to Book Value). Sample of this research contains 23 conventional commercial banks registered on IDX (Indonesia Stock Exchange) in the period of 2014-2018. The method of data analysis uses multiple linear regression. The results show that the fastest variable to increase company value through ROA as a mediating variable is the audit committee. Independent commissioner does not influence on financial performance (ROA) and company value. Another variable that rapidly increases company value is the direct influence of intellectual capital on company value.
The technological advancement in learning has made it possible for students to study beyond space and time restrictions, known as online learning. Impacted by the pandemic for an extended period, most students have adapted to online learning and, even more, have realized the vast benefits of online learning despite all the minor disadvantages. As a result, worldwide institutions, including Indonesia, are now offering online degrees and courses. Previous studies have shown contradictory results of cost factor effects on online courses, from the least important to the most critical factor for student achievements. Therefore, deciding the online course rates has been a major concern for online course providers. This research aims to answer the fundamental question of designing costs for online learning by analyzing online course preferences and ensuring sustainability by proposing a framework for the E-learning Pricing Model Policy in Higher Education using literature studies and qualitative approaches. The results show four main phases: the preparation phase, which conducts market research to understand consumer demand and behavior; the implementation phase, which includes marketing expenses and tutor fees; evaluation phase, which includes the course content material and video production revisions for further implementation. In addition, the infrastructure phase as the Learning Management System's virtual space is added with the Cloud Expenses. However, as a limitation of this research, countless factors influence online course rates, and no exact number can determine those rates. Nevertheless, the course cost can be estimated by considering the factors that affect the overall cost and the number of learners who take the course. As a result, this framework acts as an essential foundation for institutions to determine sustainable online course rates.
This study aims to examine and analyze the relationship between the effect of operating costs and operating income on bank performance which is mediated by credit risk. Using data on Islamic banking companies listed on the IDX in 2012-2019. The methodology in this study uses secondary data. Data specification is panel data (pooled data) which is actually a combination of data consisting of time series data and cross-sectional data. The analysis tool used is SEM-PLS with the WarpPLS 7.0 application. The results of this study indicate that credit risk can partially mediate the effect of operating costs and operating income on bank performance. This research is successful in proving that the operational cost ratio is used to measure the level of efficiency and ability of a bank in conducting its operations. The smaller this ratio means the more efficient the operational costs borne by the bank concerned so that the possibility of a bank in a less problematic condition. The smaller this ratio, the better the bank's performance.
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