Abstract

Clinic is a facility where people seek treatment and obtain medical advice and a place where medical students observe cases of illness suffered by patients. Currently, the presence of the Corona Virus (COVID-19) has made many clinics accommodate patients who have been exposed to the virus. From these cases, recommendations for determining the clinic are needed because the conditions are very emergency and positive cases are increasing every day. In this paper, information retrieval methods are added, namely the TF-IDF and BM25 methods to determine clinical recommendations in Jember based on keyword from users and sorted by similarity from the largest to the smallest. Meanwhile, the Haversine Formula method is used to select a clinic with a distance.

Original languageEnglish
Title of host publication8th International Conference on ICT for Smart Society
Subtitle of host publicationDigital Twin for Smart Society, ICISS 2021 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665416979
DOIs
Publication statusPublished - 2 Aug 2021
Event8th International Conference on ICT for Smart Society, ICISS 2021 - Virtual, Bandung, Indonesia
Duration: 2 Aug 20214 Aug 2021

Publication series

Name8th International Conference on ICT for Smart Society: Digital Twin for Smart Society, ICISS 2021 - Proceeding

Conference

Conference8th International Conference on ICT for Smart Society, ICISS 2021
Country/TerritoryIndonesia
CityVirtual, Bandung
Period2/08/214/08/21

Keywords

  • Haversine Formula
  • Okapi BM25
  • TF-IDF
  • information retrieval
  • recommendation system

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