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Audit Problems of Waqf Institutions in Indonesia Irwansah; M. Idris; Ardinata, Riki
International Journal of Waqf Vol. 4 No. 2 (2024): International Journal of Waqf
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/ijw.v4i2.694

Abstract

The management of waqf in Indonesia faces serious challenges in terms of governance and accountability, especially related to the audit function of waqf institutions. Effective audits are the main prerequisites in ensuring transparency, professionalism, and sustainability of waqf asset management. This study aims to identify and prioritize the main problems of auditing in waqf institutions in Indonesia based on the views of experts. The method used is Delphi, involving 15 expert respondents consisting of academics, practitioners, and regulators in the field of waqf and Islamic economics. Data analysis was carried out using three main consensus indicators, namely mean value, standard deviation, and interquartile range (IR). The results of the study showed that all variables of waqf audit problems reached a consensus level (convergent). The three main priorities for waqf audit issues in Indonesia are financial transparency, management professionalism, and service quality. These findings affirm the importance of strengthening the audit system and waqf governance to increase public trust and the effectiveness of waqf management in Indonesia.
Predicting Global Takaful Assets Irwansah; Idris, Muhamad; Prakasa, Muhammad Agung
Islamic Marketing Review Vol. 3 No. 1 (2024): Islamic Marketing Review
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/imr.v3i1.701

Abstract

The Takaful industry is one of the important pillars of the global Islamic financial system. However, the development of global Takaful assets in recent years shows fluctuating dynamics and tends to slow down. This study aims to predict the development of Global Takaful assets in the coming period using three forecasting methods, namely Trend Analysis (regression over time), Exponential Smoothing with Trend, and Multiplicative Decomposition. The data used is secondary data on Takaful Global's total assets for the period 2012–2017 sourced from the Global Islamic Finance Report (GIFR). The forecasting process is done with the help of QM for Windows software version 3. The results of the study show that all methods resulted in a projected decline in Global Takaful assets in the 2018–2022 period. Based on the Mean Absolute Percentage Error (MAPE) value, the Multiplicative Decomposition method has the highest level of accuracy compared to other methods. These findings indicate the need for a strategy to strengthen the Global Takaful industry, both in terms of regulation, product innovation, and increasing Islamic financial literacy.