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Determine Types of Indonesian Hospital by Criteria-based Proses Model, K-means Cluster, and Hierarchical Average Linkage

  • Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Hospital is an institution that provides health services to all communities. Hospitals in Indonesia have class type divisions, namely class A, class B, class C, and class D. Several criteria determine each classification. These criteria are human resources, such as the availability of doctors and pharmacists and time criteria. However, the values of those criteria are usually obtained by observation directly. The aim of this study is defining hospital values for each criterion through model process hospital directly. Firstly, this experiment forms a log of processes in the hospital instantly by using a workflow system. Then, a log is processes based on the hospital criteria. The final values of those criteria are processed by K-means Cluster and Hierarchical Average Linkage to obtain the hospital class. The final results of the experiment show that the K-means Cluster method is better with the Hierachical Average Linkage method in terms of accuracy, precision, and recall.

Original languageEnglish
Title of host publicationProceedings - 2019 International Seminar on Application for Technology of Information and Communication
Subtitle of host publicationIndustry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages191-195
Number of pages5
ISBN (Electronic)9781728138329
DOIs
Publication statusPublished - Sept 2019
Event2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019 - Semarang, Indonesia
Duration: 21 Sept 201922 Sept 2019

Publication series

NameProceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019

Conference

Conference2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019
Country/TerritoryIndonesia
CitySemarang
Period21/09/1922/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Classification
  • Hierarchical Average Linkage
  • Indonesian hospital
  • K-means Cluster

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