Blockchain-Based Property Sukuk Models for the Indonesian Market

The Indonesian property sector has experienced significant growth, with a remarkable 54% annual increase in property prices and a 9% rise in real estate companies' profits over the past decade, driven by rapid urbanisation and robust economic development. This growth underscores the need for innovative and transparent financing solutions. This study investigates the potential integration of blockchain technology into a sukuk model tailored for Indonesia's property market. Sukuk, which comply with Sharia principles, offer asset ownership opportunities and could significantly benefit from blockchain technology by enhancing ownership certainty, streamlining transactions, enabling real-time monitoring, and reducing both costs and associated risks. Despite the promising synergies, the application of blockchain in Indonesian sukuk remains largely unexplored. The research methodology involves qualitative interviews with industry experts and simulations to thoroughly examine the sukuk processes, identify potential challenges, and evaluate the benefits that blockchain can offer. Anticipated outcomes include greater market efficiency and enhanced transparency; however, challenges such as regulatory hurdles and issues related to technology adoption may arise. The study proposes a collaborative framework involving Islamic financial institutions, property developers, and blockchain experts to develop a robust and effective sukuk model. This research is pioneering in its approach and aims to provide transformative insights into how blockchain could revolutionize sukuk financing in Indonesia's rapidly expanding property sector.

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Publication Details

Published
2024-08-20
DOI
https://doi.org/10.1109/icoabcd63526.2024.10704239
Citations
4
Primary Topic
Islamic Finance and Communication
Type
article
Field-Weighted Citation Impact
4.53
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article

Blockchain-Based Property Sukuk Models for the Indonesian Market

Dodie Tricahyono, Andry Alamsyah, Yhouga Ariesta Moppratama
4 citations
Islamic Finance and Communication
4.53
article

Blockchain-Based Property Sukuk Models for the Indonesian Market

Dodie Tricahyono, Andry Alamsyah, Yhouga Ariesta Moppratama
article en
4 citations

Abstract

The Indonesian property sector has experienced significant growth, with a remarkable 54% annual increase in property prices and a 9% rise in real estate companies' profits over the past decade, driven by rapid urbanisation and robust economic development. This growth underscores the need for innovative and transparent financing solutions. This study investigates the potential integration of blockchain technology into a sukuk model tailored for Indonesia's property market. Sukuk, which comply with Sharia principles, offer asset ownership opportunities and could significantly benefit from blockchain technology by enhancing ownership certainty, streamlining transactions, enabling real-time monitoring, and reducing both costs and associated risks. Despite the promising synergies, the application of blockchain in Indonesian sukuk remains largely unexplored. The research methodology involves qualitative interviews with industry experts and simulations to thoroughly examine the sukuk processes, identify potential challenges, and evaluate the benefits that blockchain can offer. Anticipated outcomes include greater market efficiency and enhanced transparency; however, challenges such as regulatory hurdles and issues related to technology adoption may arise. The study proposes a collaborative framework involving Islamic financial institutions, property developers, and blockchain experts to develop a robust and effective sukuk model. This research is pioneering in its approach and aims to provide transformative insights into how blockchain could revolutionize sukuk financing in Indonesia's rapidly expanding property sector.

Telkom University (ID)
Openalex Percentile: Top 5%
Islamic Finance and Communication
4.53
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Blockchain-Based Property Sukuk Models for the Indonesian Market — Dodie Tricahyono, Andry Alamsyah, et al. · (2024) | TGRS Research Map | TGRS