Intellectual Capital and Islamic Banks Performance; Evidence From Indonesia and Malaysia

This paper aims to investigate empirically the relationship between the Intellectual Capital (IC) efficiency consist of human capital, structural capital and capital employed and Islamic banks performance in Indonesia and Malaysia. We employ independent sample t-test and regression analysis focusing on the period from 2010 to 2014. The results suggest that there are significant differences in intellectual efficiency scores, where Islamic Banks in Malaysia have exhibited better VAIC scores as compare to that of Islamic banks in Indonesia. While the regression analysis suggest that banks with better human capital efficiency tend to exhibit higher profitability levels. Moreover, sstructural capital is not related to Islamic bank performance. The results also suggets that capital efficiency tend to exhibit higher profitability levels both in Indonesia and Malaysia. The findings may serve as a useful input for Islamic bankers to apply knowledge based management in their respective institutions and in addressing the factors affecting IC performance in order to establish priorities and develop strategic plans, which will in turn enhance their future performance to maximize their value creation

Forecasting Saving Deposit in Malaysian Islamic Banking: Comparison Between Artificial Neural Network and Arima

The aim of this paper is to test the ability of artificial neural network (ANN) as an alternative method in time series forecasting and compared to autoregres­sive integrated moving average (ARIMA) in studying saving deposit in Malay­sian Islamic banks. Artificial neural network is getting popular as an alterna­tive method in time series forecasting for its capability to capture vola­tility pattern of non-linear time series data. In addition, the use of an estab­lished tool of analysis such as ARIMA is of importance here for comparative purposes. These two methods are applied to monthly data of the Malaysian Islamic bank­ing deposits from January 1994 to November 2005. The result provides evidence that ANN using “early stopping” approach can be used as an alterna­tive forecasting engine with univariate time series model. It can predict non-lin­ear time series using the pattern of the data directly without any statisti­cal analysis

Aplikasi Metode Autoregressive Integrated Moving Average (Arima) Pada Peramalan Stabilitas Bank Syariah Di Indonesia

The International financial crisis in has increased the world's interest in Islamic banking. Forecasting the stability of Islamic Banks is important to prevent cost crisis in the future. Z-score can explain the possible bankruptcy of a bank that measures the number of standard deviations a return realization has to fall in order to deplete equity. Autoregressive Integrated Moving Average (ARIMA) has the advantage of accuracy and precision in forecasting. Analysis result showed that ARIMA (24,1,5) is the best model for forecastng the z-score of the Islamic bank with the following equation: ̇ ̇ ̇The model was used to predict predicts the z-score from September 2016 to December 2017. The result showed that z-score of Islamic banks have a downward trend until January 2017 and upward trend from June until November 2017 and then drop in December 2017. The main factor is the changes of retained earnings at each period

Peran Perbankan Syariah dalam Mempengaruhi Pertumbuhan Ekonomi Indonesia Tahun 1993-2016

This study aims to determine the influence of Islamic banking, and investment on economic growth Indonesia in 1993-2016. This study uses a quantitative approach. The analysis technique used Autoregressive Distributed Lags (ARDL). This research used simple random sample. Sample that used in this research were taken from World Bank Data while for islamic banking data obtained from official website of all islamic banking in Indonesia. The result of the research shows that in the long term Islamic financing variable has a significant positive impact on the economic growth in Indonesia, while the short variable of sharia banking has a significant positive impact on the economic growth in Indonesia. Both of these proves that sharia banking has an active role to the economic growth of the country, especially in Indonesia. While the investment variables derived into variable Gross Fixed Capital Formation or GFCF have a significant negative impact on the economic growth of Indonesia in the short and long term

Determinan Niatan Mahasiswa terhadap Wakaf Tunai secara Online Menggunakan Modifikasi TECHNOLOGY Acceptance Model

Tujuan dari Penelitian ini adalah menguji pengaruh kepercayaan dan citra website yang diintegrasikan dengan persepsi kemudahan penggunaan dan persepsi kebermanfaatan pada niatan seorang mahasiswa dalam membayar wakaf secara online, yang menjadikan penelitian ini berbeda dengan penelitian sebelumnya adalah penggunaan citra website sebagai determinan niatan mahasiswa dalam menggunakan layanan wakaf online ini. Penelitian ini menggunakan pendekatan kuantitatif dengan metode SEM-PLS serta melibatkan responden sebesar 100 responden dengan menggunakan Purposive Sampling dengan kriteria seorang muslim usia 18-35 dan seorang mahasiswa. Software analisis untuk mengolah data dalam penelitian ini menggunakan Smartpls 3.3, untuk data diperoleh dengan menggunakan kuesioner online menggunakan skala likert 1 sampai 5, dengan keterangan sangat setuju hingga tidak setuju. Hasil dari penelitian ini menunjukkan bahwa kepercayaan, citra website, kebermanfaatan aplikasi, dan kemudahan penggunaan berhubungan signifikan terhadap niat penggunaan wakaf online. Implikasi hasil penelitian ini diharapkan dapat memberikan tambahan pengetahuan terutama dalam ilmu pemasaran Islam terkait penggunaan behavioral intention dalam penggunaan layanan wakaf online, serta diharapkan penelitian ini dapat memberikan masukan bagi manajemen lembaga donasi terutama nazir untuk lebih memperhatikan kemudahan penggunaan konsumen, manfaat yang dirasakan, kepercayaan lembaga, citra Perusahaan serta niat dalam menggunakan layanan wakaf secara online. Kata kunci: Wakaf online, technology acceptance model, trust, image

Pengaruh Faktor-faktor Makroekonomi Terhadap Islamic Human Development Index (Ihdi) Di Indonesia Tahun 2013-2017

The human development Index (HDI) established by UNDP, might be the most comprehensive approach but is not fully compatible and sufficient for measuring development in Muslim countries, because HDI measurements are not based on Islamic perspective. The HDI is unable to capture the religious and ethical perspective of socio-economic development in Muslim countries. human development and welfare of human being is an ultimate goal in the whole Islamic framework. Therefore, came a measurement called Islamic Human Development Index (I-HDI) as a holistic and comprehensive index for human development derived from the five dimensions of Maqāṣid al-Sharīʿah: religion (dīn), life (nafs), intellect (ʿaql), family (nasl) and wealth (māl). This study aims to determine the effect of macroeconomics factor on Islamic human development Index In Indonesia. The analysis technique used is multiple linearregression. The findings show that unemployment and poverty levels have a significant effect on IHDI, while GRDP does not affect IHDI. In addition, the results show that there are differences in ranking between HDI and IHDI. Some Provinces get IHDI acquisition which is quite low, which is below 50% which can be seen in NTT, NTB, and Papua Provinces. While the other provinces get good IHDI acquisition so that there is still a wealth of prosperity in provinces in Indonesia