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All Journal Jurnal Publikasi Teknik Informatika (JUPTI)
Kairos Abinaya Susanto
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Computer Science & IT

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Implementasi Bahasa Python Dalam Menganalisis Pengaruh Rokok Terhadap Risiko Pasien Terkena Penyakit Stroke Kairos Abinaya Susanto; Darrien Rafael Wijaya; Matthew Owen; Tertius Raya Prasetya; George Maximillian Theodore; Jevant Russell; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1722

Abstract

This study discusses the implementation of Python programming language in analyzing the influence of smoking habits on the risk of stroke in patients. The study utilizes the "Stroke Prediction Dataset" from World Health Organization (WHO) as the research data source. By employing exploratory data analysis methods, the study can model statistics, visualize data, and test hypotheses to gather supporting variables in analyzing the impact of smoking on the risk of stroke. The analysis results indicate that smoking significantly contributes to an increased risk of stroke. The relationship between smoking status and stroke risk is also influenced by other factors such as age, gender, and other underlying health conditions like hypertension and heart disease.
Co-Authors Darrien Rafael Wijaya George Maximillian Theodore Jevant Russell Matthew Owen Rahmi Yulia Ningsih Tertius Raya Prasetya