Paradigma
Vol. 25 No. 1 (2023): March 2023 Period

Prediction Of Infant Mortality Using The Decission Tree And Genetic Algorithm Methods

Suhardjono Suhardjono (Universitas Bina Sarana Informatika)
Adjat Sudradjat (Universitas Bina Sarana Informatika)
Bilal Abdul Wahid (Universitas Bina Sarana Informatika)
Hari Sugiarto (Universitas Bina Sarana Informatika)
Hafis Nurdin (Universitas Nusa Mandiri)

Article Info

Publish Date
30 Mar 2023

Abstract

One of the things that plays a role in reducing infant mortality is the government. Based on infant mortality data in Jakarta in 2018 that has been previously tested with the decision tree algorithm, the update in this study is to use the genetic algorithm. The purpose of the update is to increase the accuracy of the results to be maximized. From the test results with the DT algorithm optimized by GA, the maximum accuracy value is 100%, and each attribute has a weight value of 1 where the value is the maximum value. After obtaining maximum results, the data will be used to reduce infant mortality, especially in Jakarta

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Journal Info
Paradigma
Website

Abbrev

paradigma

Publisher

Universitas Bina Sarana Informatika

Subject

Computer Science & IT

Description

The Paradigma Journal is intended as a medium for scientific studies of research, thought and analysis-critical issues on Computer Science, Information Systems, and Information Technology, both nationally and internationally. The scientific article refers to theoretical reviews and empirical studies ...