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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Pseudocode Jurnal Pengabdian UntukMu NegeRI Jurnal Sains dan Informatika INOVTEK Polbeng - Seri Informatika JRST (Jurnal Riset Sains dan Teknologi) Conference SENATIK STT Adisutjipto Yogyakarta CYBERNETICS Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Building of Informatics, Technology and Science Indonesian Journal of Business Intelligence (IJUBI) International Journal of Informatics and Computation Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Masyarakat Berdaya dan Inovasi Jurnal Pengabdian Masyarakat Kebidanan HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Jurnal Informatika Terpadu Journal of Information Technology (JIfoTech) JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Ilmu Komputer untuk Masyarakat PELS (Procedia of Engineering and Life Science) Digital Transformation Technology (Digitech) Jurnal Ilmiah Teknik Informatika dan Komunikasi Journal Of Artificial Intelligence And Software Engineering Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Silmina, Esi Putri
Program Studi Teknologi Informasi Universitas ‘Aisyiyah Yogyakarta
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Journal : Journal Of Artificial Intelligence And Software Engineering

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EDA and Tableau Analysis for Identification of Heart Disease Risk Factors Silmina, Esi Putri; Perkasa, Legawan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6389

Abstract

Heart disease is one of the leading causes of death worldwide, influenced by various risk factors such as high blood pressure, cholesterol levels, and lifestyle. This study analyzes the risk factors for heart disease using the Heart Disease Dataset which includes more than 1,000 records with variables such as age, blood pressure, cholesterol, and alcohol consumption. Exploratory Data Analysis (EDA) was applied to identify patterns and relationships between variables, while Tableau was used to present the results visually and interactively. The results showed that high blood pressure was the main risk factor, with the majority of patients having blood pressure in the range of 130-135 mmHg, which is considered high risk. In addition, high cholesterol levels (200-205 mg/dL) also contributed significantly to the increased risk of heart disease, while alcohol consumption in the "Heavy" category worsened heart health conditions. Data visualization shows an increasing trend in heart disease cases, especially in individuals with a combination of these risk factors. Therefore, this study emphasizes the importance of routine blood pressure and cholesterol monitoring, implementing a healthy diet, regular physical activity, and health education to reduce the incidence of heart disease in the future.
Co-Authors Aditiya, Aqni Alam Almon Lanang Prasojo Anggit Widcaksono Anton Yudhana Aris Rakhmadi Arjun, Restu Agil Yuli Bin Riedho, Al Bukhari Cendana, Willy Pratama Dana, Syaiful Rachmat Fadlillah, Umi Fikamelyalla, Naura Firdonsyah, Arizona Firmansyah Hanafi Fajar Hidayati, Ririn Wahyu Intan Mutiara Putri Intan Putri Irwanda Budi Pangestu Laily Maghfira Luluk Rosida Mufreni, Sadr Lufti Perkasa, Legawan Retantyo Wardoyo Rovalia Adhella Attya Amanda Salsyabila Vidia Nur Afni Salsyabila Vidia Nur Afni Sri Lestari Linawati Sri Winiarti Sunardi Suyani Suyani Syaiful Rachmat Dana Syaifurrahman, Rizky Syarifah Najmah Tikaridha Hardiani Wahyudi, M. Ilham Wijayanto, Danur Willy Pratama Cendana Yuliana Putri Yusuf Sulistyo Nugroho