Penerapan Algoritma K-Means Tingkat Kesehatan Bayi (Studi Kasus :Dinas Kesehatan Kota Binjai)

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Roma Uli Br Sitanggang
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引用次数: 0

Abstract

The Binjai City Health Office always conducts counseling and weighing for babies and provides information to parents about nutrition and health for babies and provides information to parents about nutrition and health in children so they are not susceptible to disease. Due to limited knowledge of parents about health and nutrition In infants, it is very worried about children who are malnourished and cause children to be easily infected with viruses and diseases, both minor and dangerous diseases. Cluster analysis is the work of classifying data (objects) based only on the information found in the data that describes these objects and the relationships between them. Objects that are joined in a group are objects that are similar (or related) to each other and different (not related) to objects in other groups. One of the most widely used methods in the cluster method is the K-Means algorithm. From the tests carried out using the clustering method with the k-means algorithm, cluster 2 of the criteria for age, body weight, body length, and motor ability, the group that has the highest and most set / value, namely in Cluster 2 totals 624 data on infant health levels. and in cluster 2 in the group of babies aged 4-6 months and weighing 4-8 kg and 55-63.5 cm long and having the ability to crawl, try to stand with assistance. And it can be seen that the 3 clusters of the criteria for Age, Weight, Body Length, and Motoric ability, the group that has the highest and most sets / values, namely in Cluster 2 totaling 368 data on the health level of infants and in cluster 2 in the group of infants aged 4-6 months. and has a body weight of 4-8 kg and a display body of 55-63.5 cm and has the ability to crawl, materials to try to stand up with assistance. And it can be seen that the 3 clusters of the criteria for age, weight, body length, and motor ability, the group that has the highest and most sets / values, namely in Cluster 4 totaling 348 data on infant health levels and in cluster 4 in the group of infants aged 7-9 months and has a body weight of 4-8 kg and a body length of 55-63.5 cm and has the ability to crawl, move the buttocks, roll, or a combination of various movements.
基于基于婴儿健康水平的算法的应用(案例研究:Binjai市卫生部门)
滨江市卫生局一直为婴儿进行咨询和称重,向父母提供婴儿营养和健康方面的信息,并向父母提供儿童营养和健康方面的信息,使他们不容易生病。由于父母对婴儿的健康和营养知识有限,非常担心孩子营养不良,导致孩子容易感染病毒和疾病,无论是轻微的还是危险的疾病。聚类分析是仅根据在数据中发现的描述这些对象的信息及其之间的关系对数据(对象)进行分类的工作。在组中加入的对象是彼此相似(或相关)且与其他组中的对象不同(不相关)的对象。聚类方法中应用最广泛的方法之一是K-Means算法。从使用k-means算法的聚类方法进行的测试中,年龄、体重、体长和运动能力标准的聚类2中,集/值最高和最多的组,即聚类2中总共有624个婴儿健康水平数据。第二组是4-6个月大的婴儿,体重4-8公斤,长55-63.5厘米,有爬行能力,试着在帮助下站立。可以看出,年龄、体重、体长和运动能力标准的3个聚类中,集/值最高和最多的一组,即聚类2中有368个婴儿健康水平数据,聚类2中有4-6个月的婴儿。并具有4-8公斤的体重和55-63.5厘米的显示体,并具有爬行的能力,在材料的帮助下尽量站起来。和可以看出3集群的标准年龄、体重、体长、和运动能力,该集团的最高和最集/价值观,即集群4总计348婴儿健康水平和数据在集群4组的婴儿7 - 9个月,体重4 - 8公斤,体长55 - 63.5厘米,爬行的能力,移动臀部,滚,或者各种动作的结合。
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来源期刊
International Journal of Information and Learning Technology
International Journal of Information and Learning Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.10
自引率
3.30%
发文量
33
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.
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