Tika Arundina
Faculty Of Economics And Business, University Of Indonesia, Indonesia

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Sukuk Rating Prediction using Voting Ensemble Strategy Mira Kartiwi; Teddy Surya Gunawan; Tika Arundina; Mohd Azmi Omar
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (192.942 KB) | DOI: 10.11591/ijece.v8i1.pp299-303

Abstract

Islamic finance development has grown into a focal point in many countries accros the globe. Sukuk, in particular, an Islamic investment product that has received growing attention from sovereigns, multinational and national organizations from both developed and emerging economies. Its uses has been aimed to finance investments in a varieties of economic activities and development projects. Despite the promising look of Sukuk, currently there is lack of studies had been to examine and predict the rating of the Sukuk. As a result, many practitioners adopted the conventional bond hence ignore the fact that these two instruments are different in nature. In order to fill the gap in the literature, it is the aim of this research to develop an ensemble model that can be used to predict Sukuk rating. The effectiveness of the proposed models were evaluated using dataset on Sukuk issuance for domestic from 2006 to 2016. The results indicate that the overall performance of the ensemble model is fall short behind the i duction decision tree (IDT) model. However, the class precision of the ensemble model improved, particularly in predicting the lowest rating of Sukuk.
Opportunities and Challenges in Developing Islamic Pension Funds in Indonesia Rahmatina Awaliyah Kasri; Banu Muhammad Haidlir; Muhammad Budi Prasetyo; Tika Arundina Aswin; Fenny Rosmanita
ETIKONOMI Vol 19, No 2 (2020)
Publisher : Faculty of Economic and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/etk.v19i2.16284

Abstract

Despite the rapid development of the Islamic financial sector in Indonesia, the development of Islamic pension funds is way behind those of the other Islamic financial sectors. This study aims to explore the opportunities and challenges faced by Indonesian Islamic pension funds. Utilizing a qualitative research method, the study conducted Focus Group Discussions with 23 large pension funds spread across five big cities in Indonesia. It was revealed that opportunities and prospects for developing Islamic pension funds in Indonesia are relatively good. However, various internal and external challenges were found, such as a lack of knowledge; the weak commitment of founders; lack of quality human resources; relatively unfavorable tax treatment; limited investment instruments; competition with government pension schemes; and public literacy problems.  Therefore, two broad strategies are recommended to develop the Islamic funds, namely the provision of direct/indirect incentives to market players, and literacy programmes to targeted/priority groups. These strategies are expected to encourage and accelerate the growth of Indonesia's Islamic pension fund industry in the future.JEL Classification: H55, H75, J32How to Cite:Kasri, R. A., Haidlir, B. H., Prasetyo, M. B., Aswin, T. A., Rosmanita, F. (2020). Probability of Paying Zakat from Micro Financing Project Return. Etikonomi: Jurnal Ekonomi, 19(2), 311-322. https://doi.org/10.15408/etk.v19i2.16284.
Efficiency Analysis of Islamic Banks Post-Merger Using DEA Methods Orieza Alif Putra Purnomo; Tika Arundina Aswin
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 2 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i2.5038

Abstract

This academic study explores the impact of mergers on the efficiency of Islamic banks in Indonesia, mainly focusing on Bank Syariah Indonesia (BSI), formed from the merger of three state-owned Islamic banks. Covering the period from 2017 to 2023, the research utilizes Data Envelopment Analysis (DEA) to assess efficiency levels before and after the merger. Secondary data from financial statements and regulatory reports are analyzed to determine changes in market concentration and performance metrics such as profitability and operational efficiency. Results indicate a general decline in the industry’s average efficiency post-merger despite BSI itself showing improvements in operational metrics. This study contributes to understanding the complex effects of mergers in the Islamic banking sector, offering insights for policymakers and stakeholders into the dynamics of corporate restructuring within the industry.