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All Journal Jurnal Cakrawala Promkes PREDATECS: Public Research Journal of Engineering, Data Technology and Computer Science
Addini, Ezza
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Public Health

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Performance Comparison of Random Forest, Support Vector Machine and Neural Network in Health Classification of Stroke Patients Sari, Windy Junita; Melyani, Nasya Amirah; Arrazak, Fadlan; Anahar, Muhammad Asyraf Bin; Addini, Ezza; Al-Sawaff, Zaid Husham; Manickam, Selvakumar
Public Research Journal of Engineering, Data Technology and Computer Science Vol. 2 No. 1: PREDATECS July 2024
Publisher : Institute of Research and Publication Indonesia (IRPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/predatecs.v2i1.1119

Abstract

Stroke is the second most common cause of death globally, making up about 11% of all deaths from health-related deaths each year, the condition varies from mild to severe, with the potential for permanent or temporary damage, caused by non-traumatic cerebral circulatory disorders. This research began with data understanding through the acquisition of a stroke patient health dataset from Kaggle, consisting of 5110 records. The pre-processing stage involved transforming the data to optimize processing, converting numeric attributes to nominal, and preparing training and test data. The focus then shifted to stroke disease classification using Random Forest, Support Vector Machines, and Neural Networks algorithms. Data processing results from the Kaggle dataset showed high performance, with Random Forest achieving 98.58% accuracy, SVM 94.11%, and Neural Network 95.72%. Although SVM has the highest recall (99.41%), while Random Forest and ANN have high but slightly lower recall rates, 98.58% and 95.72% respectively. Model selection depends on the needs of the application, either focusing on precision, recall, or a balance of both. This research contributes to further understanding of stroke diagnosis and introduces new potential for classifying the disease.
The CHSE paradox: tourists at Blue Lagoon know the rules but do not follow them Zulhayudin, Muhammad Fadillah; Agustin, Helfi; Marlyta, Nadha; Ruliandari, Rochana; Addini, Ezza
Jurnal Cakrawala Promkes Vol. 7 No. 1 (2025): February
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jcp.v7i1.9317

Abstract

This study examines the relationship between tourists' knowledge of cleanliness, health, safety, and environmental sustainability (CHSE) and their CHSE-related practices at the Blue Lagoon tourist attraction in Sleman, Yogyakarta. Using a cross-sectional design, data were collected from 106 respondents through an accidental sampling technique. The Chi-Square test was employed for statistical analysis. The results revealed no statistically significant correlation between knowledge and CHSE-related practices (cleanliness: p = 0.267, health: p = 0.480, safety: p = 0.724, environmental sustainability: p = 0.257). Despite high levels of knowledge among respondents, this awareness did not necessarily translate into consistent CHSE practices. These findings suggest that factors beyond knowledge, such as behavioral habits, infrastructure availability, and social influences, may be more critical in shaping CHSE practices among tourists. The study has practical implications for improving tourism management by encouraging greater participation from tourism operators in providing adequate CHSE infrastructure, implementing clear regulations, and enhancing supervision. Additionally, tourist compliance with CHSE protocols remains essential for ensuring safety and environmental sustainability in tourism destinations. To strengthen CHSE implementation, advocacy, partnerships, and empowerment programs among stakeholders, including government agencies, tourism managers, universities, media, and the private sector—are crucial. Moreover, policy advocacy should reinforce CHSE compliance through certification mechanisms and sanctions for non-compliance. Continuous and intensive public awareness campaigns are necessary to enhance tourist commitment to CHSE practices, ensuring safer and more sustainable tourism experiences.
Co-Authors Al-Sawaff, Zaid Husham Anahar, Muhammad Asyraf Bin Arrazak, Fadlan Helfi Agustin Manickam, Selvakumar Marlyta, Nadha Melyani, Nasya Amirah Ruliandari, Rochana Sari, Windy Junita Zulhayudin, Muhammad Fadillah