PREDIKSI RISIKO HIPERTENSI MENGGUNAKAN ALGORITMA C4.5

Aksen Winarto, . (2021) PREDIKSI RISIKO HIPERTENSI MENGGUNAKAN ALGORITMA C4.5. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

The current developments in the world of health, hypertension is a very dangerous disease, which can cause complications, therefore in Indonesia this disease is a dangerous disease. From the age of 18 years to the 80 years affected by hypertension this is from an irregular, lifestyle, factors from heredity, and health patterns. Therefore there are several samples that will be seen from several factors that may cause hypertension, namely smoking, physical activity, health patterns and food patterns that can cause symptoms of hypertension. And there are several complications that can cause hypertension such as stroke, kidney failure, diabetes and cholesterol. to predict hypertension using the C4.5 algorithm and can determine disease patterns from the analysis results in the classification of hypertension. In this study, researchers used software called RapidMiner which was used for testing to obtain a pattern of hypertension. In this study researchers obtained, that in predicting hypertension obtained through the process stage in Rapid Miner weight attribute are very influential. The results of accuracy obtained through cross validation testing and dividing data into 2 are 70% training data and 30% test data with 79.32% accuracy

Item Type: Thesis (Skripsi)
Additional Information: pembimbing 1Anita Muliawati, pembimbing 2 Mayanda Mega Satoni Penguji 1 Jayanta penguji 2 Nurul chamidah
Uncontrolled Keywords: The current developments in the world of health, hypertension is a very dangerous disease, which can cause complications, therefore in Indonesia this disease is a dangerous disease. From the age of 18 years to the 80 years affected by hypertension this is from an irregular, lifestyle, factors from heredity, and health patterns. Therefore there are several samples that will be seen from several factors that may cause hypertension, namely smoking, physical activity, health patterns and food patterns that can cause symptoms of hypertension. And there are several complications that can cause hypertension such as stroke, kidney failure, diabetes and cholesterol. to predict hypertension using the C4.5 algorithm and can determine disease patterns from the analysis results in the classification of hypertension. In this study, researchers used software called RapidMiner which was used for testing to obtain a pattern of hypertension. In this study researchers obtained, that in predicting hypertension obtained through the process stage in Rapid Miner weight attribute are very influential. The results of accuracy obtained through cross validation testing and dividing data into 2 are 70% training data and 30% test data with 79.32% accuracy.
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: Aksen Winarto
Date Deposited: 13 Jun 2022 06:30
Last Modified: 13 Jun 2022 06:30
URI: http://repository.upnvj.ac.id/id/eprint/17948

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