@inproceedings{3fb8d9cc82744d28a3e77ea35fadab00,
title = "Determine the best option for nearest medical services using Google maps API, Haversine and TOPSIS algorithm",
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.",
keywords = "Google Maps API, Haversine, Location-based service, Medical service, TOPSIS",
author = "\{Dian Harja\}, Yuda and Riyanarto Sarno",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 1st International Conference on Information and Communications Technology, ICOIACT 2018 ; Conference date: 06-03-2018 Through 07-03-2018",
year = "2018",
month = apr,
day = "26",
doi = "10.1109/ICOIACT.2018.8350709",
language = "English",
series = "2018 International Conference on Information and Communications Technology, ICOIACT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "814--819",
booktitle = "2018 International Conference on Information and Communications Technology, ICOIACT 2018",
address = "United States",
}