这项研究是针对印度尼西亚的工业农业进行的。在前人研究的基础上进行了风险分析。获得了一个风险来源,即不符合规格的原材料,然后建议通过评估供应商绩效来缓解。这个活动涉及大量的数据,需要高效和有效的数据存储和访问。仿真布局中的级别包括分析系统需求,使用问题图,编译活动图,决定子进程,过滤信息。该分析是通过比较供应链与区块链和没有区块链的使用来进行的,然后获得,以确定是否有增加。顺序存储的数据场景描述了当事务处理正在进行并且根据发生的过程顺序存储时的情况。将数据存储在组中解释了当事务已完成并存储在具有相似数据的组中时的问题。更容易跟踪特定数据。在这方面,将使用网站进行模拟,即区块链演示。设计阶段从确定系统需求开始,创建用例图,编译活动图,确定子过程,选择信息。将对获得的模拟结果进行分析,以确定区块链作为支持与使用方面的数据相关的风险缓解的手段的可行性,包括安全,信任,可追溯性,可持续性和成本。
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.