CLASSIFICATION OF DATA HEALTH POLICY FOR DETERMINING HEALTH DEGREE IN MALUKU PROVINCE WITH K-MEANS METHOD

被引：0

作者：

Talakua, M. W. ^{[1
]}

Nimasratu, Julia ^{[1
]}

Persulessy, E. R. ^{[1
]}

Lesnussa, Y. A. ^{[1
]}

Matdoan, M. Y. ^{[1
]}

机构：

[1] Pattimura Univ, Fac Math & Nat Sci, Math Dept, Jalan Ir M Putuhena, Poka, Ambon, Indonesia

来源：

INTERNATIONAL JOURNAL OF HEALTH MEDICINE AND CURRENT RESEARCH-IJHMCR | 2018年 / 3卷 / 01期

关键词：

Degree of Health; Cluster Analysis; K-Means;

D O I：

10.22301/IJHMCR.2528-3189.799

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

One indicator to assess the success rate of a country's development can be seen from the country's achievement in providing health insurance. This study discusses the utilization of K-Means Algorithm for clustering or grouping of Regency and City in Maluku Province based on the similarity of regional characteristics in terms of indicators of mortality of local health status, namely birth rate, crude mortality rate, infant mortality rate and under-five mortality rate and mother mortality rate. The results obtained from this research, there are three groups and also there are some differences that are found according to the characteristics of each variable.

引用

页码：799 / 806

页数：8