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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Format: | Article |
Language: | English |
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EDP Sciences
2019-01-01
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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%. |
first_indexed | 2024-12-20T00:23:20Z |
format | Article |
id | doaj.art-967ceace8dac430386d174e0842e4cfb |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-12-20T00:23:20Z |
publishDate | 2019-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
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 |
work_keys_str_mv | AT sarinovachristina informationsystemforanalysisoftheneedofdoctorsusingkmeansclusteringandchisquaretest AT kusumaningrumretno informationsystemforanalysisoftheneedofdoctorsusingkmeansclusteringandchisquaretest AT suryonosuryono informationsystemforanalysisoftheneedofdoctorsusingkmeansclusteringandchisquaretest |