Deo Haganta Depari, . (2022) PERBANDINGAN MODEL DECISION TREE, NAIVE BAYES DAN RANDOM FOREST UNTUK PREDIKSI KLASIFIKASI PENYAKIT JANTUNG. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The heart is a muscular organ cavity that pumps blood through blood vessels with rhythmic contractions that keep repeating itself is one of the human organs that plays a role in the circulatory system. The heart as one of the most important organs in the body has a risk of death if there are abnormalities that occur in the heart. Some heart problems are divided into two, namely heart disease and heart attack. WHO based on data states that there are as many as 7.3 million people in the world who died due to heart disease. This study uses a data collection of heart disease patients "Personal Key Indicators of Heart Disease" and applies the Decision Tree, Naive Bayes and Random Forest classification algorithms. The purpose of this research is how to process and analyze data, how to apply the Decision Tree, Naive Bayes and Random Forest methods to the classification of heart disease, then how are the results of the accuracy of the methods used, how are the results of the comparison between Decision Tree, Naive Bayes and Random Forests used and what method is the best of classification of heart disease. The result of this research is an evaluation of the performance of the Decision Tree, Naive Bayes and Random Forest classification methods. Where the accuracy value of the Decision Tree method is 0.71%, Naive Bayes is 0.72% and Random Forest is 0.75%.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1810511104] [Pembimbing 1: Yuni Widiastiwi] [Pembimbing 2: Mayanda Mega Santoni] [Penguji 1: Iin Ernawati] [Penguji 2: Desta Sandya Prasvita] |
| Uncontrolled Keywords: | Heart Disease, Decision Tree, Naive Bayes, Comparison |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Deo Haganta Depari |
| Date Deposited: | 12 Aug 2022 03:14 |
| Last Modified: | 12 Aug 2022 03:14 |
| URI: | http://repository.upnvj.ac.id/id/eprint/19693 |
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