基于多属性失效模式分析法的Mybeb社交支付应用风险分析

Bob Maulana Adam, Z. Tarigan
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引用次数: 0

摘要

MyBeb是一个社交支付应用程序,由东爪哇省Sidoarjo地区的一家金融科技公司拥有。Mybeb本身是一个提供社交媒体功能和支付的应用程序。在运行该产品的过程中,出现了一些没有得到适当处理的障碍和操作风险,并且不少用户没有得到正确的使用此应用程序的教育。本研究旨在确定使用MAFMA方法必须采取的风险优先级和纠正措施。该方法是检测有很大潜力被克服的故障点。然后得到分析方法的结果和效益,将影响使用该方法的公司。从方法上看,风险值最高的风险为P10值的风险,为0.482。同时,风险最低的是P1风险,风险水平值为0.251。然后,对于建议的改进方法的管理意义,风险级别最高,为P10风险,使用用户推荐链接的朋友列表页面被提供给那些上传了个人资料照片的人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Analysis Using Multi-Attribute Failure Mode Analysis Approach in Mybeb Social Payment Application
MyBeb is a social payment application owned by one of the FinTech companies in the Sidoarjo area, East Java Province. Mybeb itself is an application that provides social media features as well as payments. In running the product, several obstacles and operational risks arise that have not been handled properly, and not a few users have not been properly educated in the use of this application. This study aims to identify risk priorities and corrective actions that must be taken using the MAFMA method. The method is to detect failure points that have great potential to be overcome. Then get the results and benefits of the analysis method that will affect the company using the methods. From the methods, the risk with the highest value was at the risk of the P10 value, which was 0.482. At the same time, the lowest risk is at P1 risk with a risk level value of 0.251. Then for managerial implications for the proposed improvement to the method with the highest risk level at P10 risk, a page for a list of friends using referral links from users is given to those who have done uploading profile photos.
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