Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square Test

Doctor is one of the medical staff who is needed by the community in implementing health in Indonesia. Some provinces in Indonesia have different populations and doctors, an analysis is needed to maximize the number of doctors to the population. In this research, the K-means method was used to divid...

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Main Authors: Sari Nova Christina, Kusumaningrum Retno, Suryono Suryono
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_25001.pdf
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author Sari Nova Christina
Kusumaningrum Retno
Suryono Suryono
author_facet Sari Nova Christina
Kusumaningrum Retno
Suryono Suryono
author_sort Sari Nova Christina
collection DOAJ
description Doctor is one of the medical staff who is needed by the community in implementing health in Indonesia. Some provinces in Indonesia have different populations and doctors, an analysis is needed to maximize the number of doctors to the population. In this research, the K-means method was used to divide the cluster into the number of doctors needed and the chi-square method to final testing for the result of clustering. This research will provide results on areas that need to increase the number of doctors or do not need to add additional doctors in Indonesia. Using of the K-means clustering method and chi-square test for doctor analysis, giving results of accuracy which is 78%.
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spelling doaj.art-967ceace8dac430386d174e0842e4cfb2022-12-21T20:00:08ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011252500110.1051/e3sconf/201912525001e3sconf_icenis2019_25001Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square TestSari Nova Christina0Kusumaningrum Retno1Suryono Suryono2Magister Program of Information System, School of Postgraduate Studies, Diponegoro UniversityDepartment of Informatics, Faculty of Science and Mathematics, Diponegoro UniversityDepartment of Physics, Faculty of Sciences and Mathematics, Diponegoro UniversityDoctor is one of the medical staff who is needed by the community in implementing health in Indonesia. Some provinces in Indonesia have different populations and doctors, an analysis is needed to maximize the number of doctors to the population. In this research, the K-means method was used to divide the cluster into the number of doctors needed and the chi-square method to final testing for the result of clustering. This research will provide results on areas that need to increase the number of doctors or do not need to add additional doctors in Indonesia. Using of the K-means clustering method and chi-square test for doctor analysis, giving results of accuracy which is 78%.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_25001.pdfdoctork-means clusteringchi-squareanalysis
spellingShingle Sari Nova Christina
Kusumaningrum Retno
Suryono Suryono
Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square Test
E3S Web of Conferences
doctor
k-means clustering
chi-square
analysis
title Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square Test
title_full Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square Test
title_fullStr Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square Test
title_full_unstemmed Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square Test
title_short Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square Test
title_sort information system for analysis of the need of doctors using k means clustering and chi square test
topic doctor
k-means clustering
chi-square
analysis
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_25001.pdf
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AT suryonosuryono informationsystemforanalysisoftheneedofdoctorsusingkmeansclusteringandchisquaretest