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    Pengaruh Instabilitas Makroekonomi Terhadap Non-Performing Financing Perbankan Syariah di Indonesia

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    This study aims to identify the determinants of non-performing financing (NPF) in Islamic banks in Indonesia. The study objects are the Islamic banking industry during the first quarter of 2008 until the third quarter of 2019. The variables in this study are inflation, growth of Gross Domestic Product (PDB), and Bank Indonesia rate. The statistic method used is the Vector Error Correction Model (VECM). The result shows that inflation shock significantly affects the trend of NPF, while others do not give significant effect to NPF of Islamic Banking. 

    PERBANDINGAN KINERJA KEUANGAN PERBANKAN SYARIAH INDONESIA DENGAN MALAYSIA

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    Tujuan dari penelitian ini adalah untuk membandingkan kinerja perbankan syariah Indonesia dengan Malaysia. Variabel yang diperbandingkan berupa pertumbuhan aset, pembiayaan, dana pihak ketiga, CAR, FDR, LTA, dan NPF. Sampel yang digunakan dalam penelitian ini berupa laporan agregat kinerja perbankan syariah yang diterbitkan oleh otoritas jasa keuangan dari masing-masing negara selama kwartal I 2016-kwartal IV 2019. Teknik analisis data yang digunakan adalah independent sample t test. Hasil penelitian menunjukan bahwa variabel CAR, FDR, LTA dan NPF antara perbankan syariah Indonesia dengan Malaysia memiliki perbedaan yang signifika

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    The Impact Of Financing Product Scheme To Islamic Banking Financial Performance

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    The aim of this study is to determine how different financing plans affect a bank's ability to earn income and manage financing risk throughout the course of both the short- and long-terms. The study utilizes an associative research design and a quantitative methodology. The Financial Services Authority's monthly aggregate reports on Islamic banking for the years 2012 to 2022 make up the study sample. Total debt-based financing, total profit-sharing financing, total leasing-based financing, return on assets (ROA), and non-performing finance (NPF) are among the variables included in the study model. Vector Error Correction Modelling (VECM), which enables the study of the data, is used to examine the short- and long-term effects of independent factors on the dependent variable. Two investigational models—the ROA model and the NPF model—are included in the study. According to the research's findings, when viewed from the NPF model's point of view, debt- and leasing-based financing are more secure over the long run for Islamic banks. Leasing-based financing, however, turns out to be more beneficial for Islamic banks from the standpoint of the ROA mode

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    The Effect of Investment Portfolio on Investment Returns in Islamic Insurance Companies

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    The importance of investment portfolios in Islamic insurance companies is fundamental to obtaining optimal returns. A well-diversified portfolio can help companies manage their risks and optimize their returns. By opting for appropriate investment instruments, the company can enhance liquidity, stability, and asset growth, which in turn will provide greater benefits to insurance participants. This study focuses on investment portfolio variables, given the important role of investment in Islamic insurance companies. Therefore, this study aims to determine the effect of deposit variables, Islamic stocks, corporate sukuk, State Sharia Securities (SBSN), Islamic mutual funds, direct investment, and other investments on the investment returns of Islamic insurance companies. This study uses a quantitative research approach; it uses the type of data, which is secondary data obtained from the Financial Services Authority (OJK), starting from January 2014-December 2022. The method of analysis used in this research is multiple linear regression analysis. The results showed that the variable deposits, Sharia stocks, corporate sukuk, Sharia mutual funds, direct participation, and other investments had a significant effect, while the SBSN variable was not significant

    The Impact Of Financing Product Scheme To Islamic Banking Financial Performance

    No full text
    The aim of this study is to determine how different financing plans affect a bank's ability to earn income and manage financing risk throughout the course of both the short- and long-terms. The study utilizes an associative research design and a quantitative methodology. The Financial Services Authority's monthly aggregate reports on Islamic banking for the years 2012 to 2022 make up the study sample. Total debt-based financing, total profit-sharing financing, total leasing-based financing, return on assets (ROA), and non-performing finance (NPF) are among the variables included in the study model. Vector Error Correction Modelling (VECM), which enables the study of the data, is used to examine the short- and long-term effects of independent factors on the dependent variable. Two investigational models—the ROA model and the NPF model—are included in the study. According to the research's findings, when viewed from the NPF model's point of view, debt- and leasing-based financing are more secure over the long run for Islamic banks. Leasing-based financing, however, turns out to be more beneficial for Islamic banks from the standpoint of the ROA mode

    Pengaruh Variabel Makroekonomi Terhadap Hasil Investasi Pada Perusahaan Asuransi Syariah di Indonesia

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    This study aims to determine the macroeconomic variables that affect the investment returns of Islamic insurance. The research approach uses a quantitative approach with the type of associative research. The data source uses secondary data in the form of monthly data published by OJK and BI from 2014-2020. The data analysis technique used multiple regression analysis techniques. The result showed that the BI Rate, Exchange Rate, and the Jakarta Islamic Index had a significant effect on the investment returns of sharia insurance. On the other hand, inflation and the money supply have no significant effects
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