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Implementasi Algoritma C5.0 Dan K-Medoids Untuk Klasterisasi Ibu Hamil Beresiko Tinggi

Riadi, Muhammad and Azhar, Yufis and Wicaksono, Galih Wasis (2020) Implementasi Algoritma C5.0 Dan K-Medoids Untuk Klasterisasi Ibu Hamil Beresiko Tinggi. Repositor, 2 (4). pp. 511-524. ISSN 2714-7975

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Abstract

Considering the problem of maternal and under-five mortality rates, and the high number of pregnancies at risk is not just a matter of the health world. The role of information technology that is developing very rapidly can be used as a solution to the problem of risky pregnancy. What's more, computers often change functions to turn off routine human work and decision making. Then to overcome this case two algorithms will be applied namely: (a) Decision Tree C5.0 Algorithm, (b) K-Medoids Clustering. Commercial Version 5.0 (C5.0) method for processing the analysis variables used. The use of C5.0 in this case is for attribute selection so that it produces very powerful features. After doing the selection of new data features will be grouped using K-Medoids for analysis so that they can be used as a reference for handling this case. The application of these two methods is also so that the decisions that are made later are more targeted to reduce or overcome the problem of high-risk maternal pregnancy.

Item Type: Article
Keywords: K-Medoids; C5.0; Kehamilan Resiko; Kematian Ibu Dan Bayi
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Galih Wasis Wicaksono
Date Deposited: 02 Apr 2020 06:21
Last Modified: 02 Apr 2020 06:21
URI : http://eprints.umm.ac.id/id/eprint/60934

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