The improvement of block chain technology simulation in supply chain management (case study: pesticide company)

Lina Gozali, Helena Juliana Kristina, Andrew Yosua, Teuku Yuri M. Zagloel, Maslin Masrom, Sani Susanto, Harto Tanujaya, Agustinus Purna Irawan, Ariawan Gunadi, Vikas Kumar, Jose Arturo Garza-Reyes, Tji Beng Jap, Frans Jusuf Daywin

Research output: Contribution to journalArticlepeer-review

Abstract

This research was conducted on industrial agriculture in Indonesia. Risk analysis was carried out based on previous research. One source of risk was obtained, namely raw materials that did not meet specifications, which was then proposed to be mitigated by evaluating supplier performance. This activity involves a lot of data, requiring efficient and effective data storage and access. The level in the simulation layout includes analysing system needs, using problem diagrams, compiling activity diagrams, deciding subprocesses, and filtering information. The analysis is carried out by comparing the use of supply chains with Blockchain and without Blockchain, which is then obtained to determine whether there is an increase. A sequentially stored data scenario describes a situation when the transaction process is in progress and is stored sequentially according to the process that occurs. Storing data in groups explains a problem when a transaction has been completed and stored in groups with similar data, making it easier to track specific data. In this regard, a simulation will be carried out using a website, namely a blockchain demo. The design stage starts with identifying system requirements, creating use case diagrams, compiling activity diagrams, determining subprocesses, and selecting information. The simulation results obtained will be analysed to determine the feasibility of Blockchain as a means of supporting risk mitigation related to data using aspects, including security, trust, traceability, sustainability, and costs.

Original languageEnglish
Article number3784
JournalScientific reports
Volume14
Issue number1
DOIs
Publication statusPublished - Dec 2024

Keywords

  • Blockchain
  • Pesticide industry
  • Risk mitigation
  • Simulation
  • Supply chain management

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