Ensuring Coffee Quality through Blockchain Traceability: A Methodical Approach Using Software Development Life Cycle


Nurhazizah, Eva and Tyasamesi, Prenzeline and Alamsyah, Andry and Kannan, Rathimala (2023) Ensuring Coffee Quality through Blockchain Traceability: A Methodical Approach Using Software Development Life Cycle. In: 2023 International Conference on Digital Business and Technology Management (ICONDBTM), 2-3 August 2023, Lombok, Nusa Tenggara Barat, Indonesia.

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The Indonesian coffee bean industry faces significant challenges in exporting to countries with stringent standards, primarily due to a lack of trust. Recent legislation in European countries has intensified scrutiny of imported agricultural products, highlighting the crucial role of cultivation processes. The lack of transparency and traceability poses hurdles for Indonesian coffee exports in effectively promoting their products and meeting the demanding quality standards of these countries. Blockchain technology, with its distributed ledgers and smart contracts, holds immense potential for providing supply chain traceability, enhancing transparency, and safeguarding against unauthorized data manipulation. We explore the capabilities of blockchain technology in the coffee supply chain and propose a solution model to overcome exportrelated obstacles, with a specific focus on enhancing supply chain transparency. The research centers around a coffee bean company's aspiration to expand its international operations. To ensure optimal development and performance of the model system, we adopt the Software Development Life Cycle (SDLC) methodology. The model system in this study has been successfully implemented and tested, resulting in the realization of transparency and traceability measures to ensure coffee quality.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Blockchain
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Management (FOM)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 02 Jan 2024 08:53
Last Modified: 02 Jan 2024 08:53
URII: http://shdl.mmu.edu.my/id/eprint/11976


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