IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-938-4_45.html

Usability Evaluation of Zakat Chain: Blockchain-Based Smart Contracts for Transparent Zakat Management

In: Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025)

Author

Listed:
  • Fajerin Biabdillah

    (Information Technology Department)

  • Fitri Wulandari

    (Accountancy Department)

Abstract

Zakat Chain is a blockchain-based platform designed to improve the transparency and efficiency of Zakat management through smart contracts and tokenization. The proposed system encodes Zakat rules (e.g. nisab threshold and 2.5% levy) in self-executing smart contracts, automating the calculation and distribution of Zakat contributions. A custom token akin to the gold Dinar is integrated to represent a stable, Shariah-aligned asset for transactions, mitigating concerns over cryptocurrency volatility. We outline the system architecture and development workflow, including the smart contract logic and token integration, and evaluate the platform’s usability with end-users. Results from a Post-Study System Usability Questionnaire (PSSUQ) indicate high user satisfaction and ease of use at the 89.90%. The discussion highlights that leveraging blockchain’s transparency and immutability can enhance trust in Zakat processes, as all transactions are auditable and tamper-proof. In summary, the Zakat Chain demonstrates the potential of merging classical Islamic finance principles with modern blockchain technology to achieve a more transparent, trustworthy, and user-friendly Zakat management system.

Suggested Citation

  • Fajerin Biabdillah & Fitri Wulandari, 2025. "Usability Evaluation of Zakat Chain: Blockchain-Based Smart Contracts for Transparent Zakat Management," Advances in Economics, Business and Management Research, in: Muhammad Udin Harun Al Rasyid & Nurul Fahmi & Yuliana Sukarmawati & I Wayan Sutina & Upayana Wiguna (ed.), Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025), pages 388-395, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-938-4_45
    DOI: 10.2991/978-94-6463-938-4_45
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-938-4_45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.