Determine the best option for nearest medical services using Google maps API, Haversine and TOPSIS algorithm

Yuda Dian Harja, R. Sarno
{"title":"Determine the best option for nearest medical services using Google maps API, Haversine and TOPSIS algorithm","authors":"Yuda Dian Harja, R. Sarno","doi":"10.1109/ICOIACT.2018.8350709","DOIUrl":null,"url":null,"abstract":"Medical service has become important aspect nowadays. When we have an emergency condition, we are often confronted with unknown variables such as travel distance and time of the medical services near us. This paper aims to develop a location-based service for medical purpose, which considers two major variables: travel distance and time. This system is using Haversine algorithm to find medical services around us within a certain radius. Then using Google Map API to calculate travel distance and time. TOPSIS algorithm is used to determine the best option for the results. By using this method, the whole system shows this research result give better method in decision making over previous studies.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"70 1","pages":"814-819"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information and Communications Technology (ICOIACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIACT.2018.8350709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

Abstract

Medical service has become important aspect nowadays. When we have an emergency condition, we are often confronted with unknown variables such as travel distance and time of the medical services near us. This paper aims to develop a location-based service for medical purpose, which considers two major variables: travel distance and time. This system is using Haversine algorithm to find medical services around us within a certain radius. Then using Google Map API to calculate travel distance and time. TOPSIS algorithm is used to determine the best option for the results. By using this method, the whole system shows this research result give better method in decision making over previous studies.
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
医疗服务已成为当今社会的一个重要方面。当我们遇到紧急情况时,我们经常面临未知变量,如我们附近的医疗服务的旅行距离和时间。本文旨在开发一种基于位置的医疗服务,它考虑了两个主要变量:旅行距离和时间。这个系统使用哈弗辛算法在我们周围一定半径范围内寻找医疗服务。然后利用谷歌地图API计算出行距离和时间。使用TOPSIS算法确定结果的最佳选项。通过对该方法的应用,整个系统表明,该研究结果比以往的研究提供了更好的决策方法。
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
Data Normalization and Database Design for Joglosemar Tourism Management of fault tolerance and traffic congestion in cloud data center Development of smart public transportation system in Jakarta city based on integrated IoT platform Improving the quality of enterprise IT goals using COBIT 5 prioritization approach Data mining technique with cluster anaysis use K-means algorithm for LQ45 index on Indonesia stock exchange
×
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