在线众筹平台信息系统

IF 0.9 3区 数学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Amesanggeng Pataropura
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引用次数: 0

摘要

在现代世界,特别是在众筹领域,技术越来越先进,以方便筹款活动。将计算机技术应用于众筹领域,方便创作者进行募捐活动,捐助者提供资金。比如可以在网上筹款。目前仍有很多人进行人工筹款活动,这需要很多时间,因为他们需要制作文件来支持筹款,他们需要接近潜在的捐助者。提供资金的捐赠者的数据很有可能丢失,因为捐赠者的数据只写在一本册子上,导致数据变得不规则。要解决现有的问题,需要创建一个系统,以电子方式存储筹款人和捐赠者的数据。计算机化系统可以帮助资金筹集者(创建者)和捐赠者。这个系统是用瀑布法和使用一个网络基地,用户需要一个互联网连接来访问这个系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Crowdfunding Platform Information System
In the modern world, especially in the field of crowd funding, technology is getting more advanced to facilitate fundraising activities. By utilizing computer technology in the field of crowd funding, it will facilitate fundraising activities carried out by creators and providing funds by donor. Such as can be done online fundraising. Currently there are still many people who carry out manual fundraising activities which require a lot of time because they have to make documents to support fundraising and they have to approach potential donor. The possibility of losing data on donors who have provided funds is very likely because funder data is only written in a book which causes the data to become irregular. To solve the existing problem is to create a system that can store data on fundraisers and donors electronically. Computerized systems can help fundraisers (creators) and donors. This system is made with the waterfall method and uses a web base where users need an internet connection to access this system.
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来源期刊
Random Structures & Algorithms
Random Structures & Algorithms 数学-计算机:软件工程
CiteScore
2.50
自引率
10.00%
发文量
56
审稿时长
>12 weeks
期刊介绍: It is the aim of this journal to meet two main objectives: to cover the latest research on discrete random structures, and to present applications of such research to problems in combinatorics and computer science. The goal is to provide a natural home for a significant body of current research, and a useful forum for ideas on future studies in randomness. Results concerning random graphs, hypergraphs, matroids, trees, mappings, permutations, matrices, sets and orders, as well as stochastic graph processes and networks are presented with particular emphasis on the use of probabilistic methods in combinatorics as developed by Paul Erdõs. The journal focuses on probabilistic algorithms, average case analysis of deterministic algorithms, and applications of probabilistic methods to cryptography, data structures, searching and sorting. The journal also devotes space to such areas of probability theory as percolation, random walks and combinatorial aspects of probability.
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