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All Journal International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET)
T. Rizkan Polem
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education

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ISLAMIC WEALTH MANAGEMENT: HARMONIZING SPIRITUALITY AND FINANCIAL SUSTAINABILITY T. Rizkan Polem; Sugianto; Marliyah
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 3 (2025): FEBRUARY
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i3.659

Abstract

Islamic wealth management represents a unique integration of ethical finance and spirituality, addressing the growing need for financial systems that prioritize sustainability and social justice. This study aims to explore how Islamic wealth management harmonizes spiritual principles and financial sustainability, focusing on emerging trends, challenges, and opportunities in the global context. The research employs a qualitative approach, utilizing case studies and literature reviews to analyze contemporary practices, theories, and applications. Data is drawn from scholarly articles, industry reports, and primary sources that examine Shariah-compliant wealth management practices, including zakah, waqf, and ESG integration. The findings highlight that Islamic wealth management frameworks ensure financial stability through risk-sharing mechanisms, enhance social welfare via ethical investments, and address global sustainability goals through the adoption of fintech innovations. Key challenges identified include the standardization of Shariah compliance, the need for gender inclusivity, and the alignment of ESG metrics with Islamic principles. These results imply that Islamic wealth management holds significant potential to contribute to a more equitable and sustainable global financial system.
ARIMA MODELS IN PREDICTING INDONESIAN ISLAMIC BANK PROFITABILITY Muhammad Hakim Sitompul; T. Rizkan Polem; Dede Ruslan; Muhammad Fitri Rahmadana
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 4 (2024): August
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i4.1817

Abstract

This study aims to predict the profitability of Bank Muamalat Indonesia, proxied by the ROA ratio. The data analysis used is ARIMA (Autoregressive Integrated Moving Average), which is an appropriate approach for analyzing time series data such as the profitability of Bank Muamalat Indonesia over the period 2010-2023. The findings indicate that the ARIMA (1,1,12) model is the best in predicting the profitability of Bank Muamalat Indonesia. This is because the ARIMA (1,1,2) model demonstrates white noise characteristics and produces low AIC and SC values as well as significant parameters, thus it is selected for analysis. Using the ARIMA (1,1,2) model, profitability estimation shows RMSE values of 0.39 and MAE values of 0.32, indicating a low error rate. The prediction shows a significant decline in the profitability of Bank Muamalat Indonesia, although fluctuations remain. Therefore, the ARIMA (1,1,2) model proves to be effective in predicting the profitability of Bank Muamalat Indonesia with a low error rate, despite the prediction results showing a downward trend.
Co-Authors DEDE RUSLAN Marliyah Muhammad Hakim Sitompul Rahmadana, Muhammad Fitri Sugianto