Application of K-Mean Algorithm for Medicine Data Clustering in Puskesmas Rumbai

被引：0

作者：

Taslim ^{[1
]}

Fajrizal ^{[1
]}

Toresa, Dafwen ^{[1
]}

机构：

[1] Univ Lancang Kuning, Pekanbaru, Riau, Indonesia

来源：

INTERNATIONAL CONFERENCE ON ENVIRONMENT AND TECHNOLOGY (IC-TECH) 2017 | 2017年 / 97卷

关键词：

D O I：

10.1088/1755-1315/97/1/012051

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Through the government's health insurance program, efforts are made to ensure the health of the community through Puskesmas or community clinics. One of the most important components in health is the availability of medicines. The availability of medicines should be well managed to ensure that the medicines needed by the community are always available in sufficient quantities. Clustering on Data mining can be used to analyze the use of medicines during this time at a Puskesmas to be used as one of considerations for the Puskesmas to submit the demand of medicines in the period to come. The results of this study are expected to classify the level of medicines used in the pharmacy of Puskesmas in Rumbai Bukit Pekanbaru.

引用

页数：5