The Analysis and Design Marketplace Information Systems Web-Based of Electronic Repair Service Providers with Haversine Method

bit-Tech Pub Date : 2019-11-01 DOI:10.32877/bt.v2i1.89
Darmayana Putra, Benny DaniawanDaniawan, Suwit Witno, Andri Wijaya
{"title":"The Analysis and Design Marketplace Information Systems Web-Based of Electronic Repair Service Providers with Haversine Method","authors":"Darmayana Putra, Benny DaniawanDaniawan, Suwit Witno, Andri Wijaya","doi":"10.32877/bt.v2i1.89","DOIUrl":null,"url":null,"abstract":"This system is designed to help customers find electronic service centers were spread in Tangerang. The distribution of electronic service center makes it difficult for users to determine the right electronic service center. Sometimes customers don’t know the results of repairs from the electronic service center. Search for electronic service center on the system is using the Haversine method. Haversine is used to calculate the distance between the position of the customer and the position of the electronic service centers. In addition to Haversine, the search for electronic service center will be adjusted to the type of goods you want to repair and rating from the results of the performance electronic service center. In this system, the customer can choose the damage diagnosis available and the customer can also make a special order by describing the customer's damage. This system was tested using Black Box Testing with Boundary Value Analysis technique, based on the results of testing the system can use data with a success percentage of 96.66%. The system is tested with User Acceptance Testing to find out how much the level of user acceptance of the system designed, and the result is 75% of users agree with the system.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bit-Tech","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32877/bt.v2i1.89","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This system is designed to help customers find electronic service centers were spread in Tangerang. The distribution of electronic service center makes it difficult for users to determine the right electronic service center. Sometimes customers don’t know the results of repairs from the electronic service center. Search for electronic service center on the system is using the Haversine method. Haversine is used to calculate the distance between the position of the customer and the position of the electronic service centers. In addition to Haversine, the search for electronic service center will be adjusted to the type of goods you want to repair and rating from the results of the performance electronic service center. In this system, the customer can choose the damage diagnosis available and the customer can also make a special order by describing the customer's damage. This system was tested using Black Box Testing with Boundary Value Analysis technique, based on the results of testing the system can use data with a success percentage of 96.66%. The system is tested with User Acceptance Testing to find out how much the level of user acceptance of the system designed, and the result is 75% of users agree with the system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于Haversine方法的电子维修服务供应商市场信息系统分析与设计
本系统的目的是帮助客户找到电子服务中心,在橘子坊普及。电子服务中心的分布给用户选择合适的电子服务中心带来了困难。有时客户不知道电子服务中心的维修结果。在系统上搜索电子服务中心使用的是哈弗辛方法。Haversine用于计算客户位置与电子服务中心位置之间的距离。除Haversine外,搜索电子服务中心将根据性能电子服务中心的结果调整为要维修的商品类型和评级。在该系统中,客户可以选择可用的损坏诊断,也可以通过描述客户的损坏情况来进行特殊订购。采用边界值分析技术对系统进行了黑盒测试,测试结果表明,系统对数据的利用成功率为96.66%。通过用户验收测试对系统进行测试,以了解用户对系统设计的接受程度,结果是75%的用户同意系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Implementation Search Engine Optimization (SEO) to Improve Marketing F&B Industry Analysis And Design Of Online Based Plastic Sales Information System With User Acceptance Testing Method Design a Web-based Education Development Contribution Payment Application at SDIT Tahfidz Bintangku Clustering Mental Health on Instagram Users Using K-Means Algorithm Implementation of Business Intelligence In Analyzing Data Using Tableau at PT Global Bintan Permata
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1