{"title":"根据年龄对BPJS患者诊断分类的应用采用Clustering方法(案例研究:","authors":"Leny Widiya Pa","doi":"10.32938/jitu.v2i1.1036","DOIUrl":null,"url":null,"abstract":"The hospital is a health service institution that provides complete individual health services that provide inpatient services. Because the large number of patient data in the hospital makes it difficult for the administration to process existing data and information, the authors want to group patient data at the hospital to produce information. and can also facilitate the hospital in providing information to patients. Cluster is finding a collection of objects in a group that are the same (or have a relationship) with others and different (or not related) with objects in other groups. The purpose of cluster analysis is to minimize the distance within the cluster and maximize the distance between clusters. And the Centroid on the cluster is the center point. From the tests carried out using the clustering method with the k-means algorithm, it can be seen that cluster 2 of the criteria for disease symptoms, diagnosis results, age, group that has the highest set / value and the most patient diagnosis data, namely in Cluster 1 totaling 825. Patient data with diagnosis results using BPJS on Symptoms of High Fever and the diagnosis is Asthma, then age is> 60 years. and the most intermediate data on patients who experience delinquency, namely in Cluster 1 amounted to 595 patient data with a diagnosis using BPJS on Symptoms of High Fever and the diagnosis is anemia, then the age used is> 60 years.","PeriodicalId":51872,"journal":{"name":"International Journal of Information and Learning Technology","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Penerapan Data Mining Pengelompokan Hasil Diagnosa Pasien BPJS Berdasarkan Usia Menggunakan Metode Clustering (Studi Kasus: RSU Bidadari Binjai)\",\"authors\":\"Leny Widiya Pa\",\"doi\":\"10.32938/jitu.v2i1.1036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The hospital is a health service institution that provides complete individual health services that provide inpatient services. Because the large number of patient data in the hospital makes it difficult for the administration to process existing data and information, the authors want to group patient data at the hospital to produce information. and can also facilitate the hospital in providing information to patients. Cluster is finding a collection of objects in a group that are the same (or have a relationship) with others and different (or not related) with objects in other groups. The purpose of cluster analysis is to minimize the distance within the cluster and maximize the distance between clusters. And the Centroid on the cluster is the center point. From the tests carried out using the clustering method with the k-means algorithm, it can be seen that cluster 2 of the criteria for disease symptoms, diagnosis results, age, group that has the highest set / value and the most patient diagnosis data, namely in Cluster 1 totaling 825. Patient data with diagnosis results using BPJS on Symptoms of High Fever and the diagnosis is Asthma, then age is> 60 years. and the most intermediate data on patients who experience delinquency, namely in Cluster 1 amounted to 595 patient data with a diagnosis using BPJS on Symptoms of High Fever and the diagnosis is anemia, then the age used is> 60 years.\",\"PeriodicalId\":51872,\"journal\":{\"name\":\"International Journal of Information and Learning Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2022-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information and Learning Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32938/jitu.v2i1.1036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Learning Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32938/jitu.v2i1.1036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Penerapan Data Mining Pengelompokan Hasil Diagnosa Pasien BPJS Berdasarkan Usia Menggunakan Metode Clustering (Studi Kasus: RSU Bidadari Binjai)
The hospital is a health service institution that provides complete individual health services that provide inpatient services. Because the large number of patient data in the hospital makes it difficult for the administration to process existing data and information, the authors want to group patient data at the hospital to produce information. and can also facilitate the hospital in providing information to patients. Cluster is finding a collection of objects in a group that are the same (or have a relationship) with others and different (or not related) with objects in other groups. The purpose of cluster analysis is to minimize the distance within the cluster and maximize the distance between clusters. And the Centroid on the cluster is the center point. From the tests carried out using the clustering method with the k-means algorithm, it can be seen that cluster 2 of the criteria for disease symptoms, diagnosis results, age, group that has the highest set / value and the most patient diagnosis data, namely in Cluster 1 totaling 825. Patient data with diagnosis results using BPJS on Symptoms of High Fever and the diagnosis is Asthma, then age is> 60 years. and the most intermediate data on patients who experience delinquency, namely in Cluster 1 amounted to 595 patient data with a diagnosis using BPJS on Symptoms of High Fever and the diagnosis is anemia, then the age used is> 60 years.
期刊介绍:
International Journal of Information and Learning Technology (IJILT) provides a forum for the sharing of the latest theories, applications, and services related to planning, developing, managing, using, and evaluating information technologies in administrative, academic, and library computing, as well as other educational technologies. Submissions can include research: -Illustrating and critiquing educational technologies -New uses of technology in education -Issue-or results-focused case studies detailing examples of technology applications in higher education -In-depth analyses of the latest theories, applications and services in the field The journal provides wide-ranging and independent coverage of the management, use and integration of information resources and learning technologies.