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Journal : Proceeding of International Conference Health, Science And Technology (ICOHETECH)

Stress and Motivation to Smoke among Adolescents Firdaus, Insanul; Arnas Suwarni, Anggita; Agung Yudhianto, Kresna; Mei Astuti, Andriani; Witriyani, Witriyani
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4225

Abstract

Background: Stress is a condition of anxiety or mental strain brought on by challenging circumstances and motivates us to face obstacles and dangers in life. Stress often experienced by adolescents, with a reported high prevalence of depression among teenagers. Each person uses different stress coping techniques, some of which are beneficial and others of which are detrimental. Smoking is one of the negative stress coping strategies that some people turn to in the hopes of finding mental calm. However, smoking behavior is dangerous for both active and passive smokers, who may experience a range of illnesses, including cancer, lung disease, impotence, reproductive abnormalities, stroke, and possibly fatal pregnancy issues for the fetus. Objective: The aim of this research is to determine the relationship between stress levels and smoking motivation among adolescents. Method: This research is a quantitative descriptive study with a cross-sectional approach by involving 80 subjects of adolescents. The research instrument used a questionnaire that had been tested for validity. Analysis of this research data used the Spearman Rho test. Results: It was discovered that 38 subject (47.5%) had low level of stress, 26 subject (32.5%) had moderate levels of stress, 9 (11,25%) had high levels of stress, 7 (8,75%) had very high levels of stress. Smoking motivation was discovered that 59 subject (73.75%) had moderate smoking motivation, 31 subject (38.75%) had high smoking motivation. Conclusion: There is a relation between stress levels and smoking motivation among adolescents with a significance value of 0.00 (p<0.05).
Implementation and Optimization of Saliency Mapping Algorithms in Convolutional Neural Networks (CNN) to Enhance Transparency in Pneumonia Diagnosis Ardiyanto, Marta; Irawan, Ridwan Dwi; Yudhianto, Kresna Agung
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/c9jq7074

Abstract

This study aims to develop a transparent and reliable artificial intelligence model for pneumonia diagnosis using chest X-ray images by implementing and optimizing Convolutional Neural Networks (CNN) with Saliency Mapping. The research employed a combination of advanced optimization techniques, including aggressive data augmentation, class weight balancing, L2 regularization, dropout, batch normalization, and adaptive learning rate scheduling to address overfitting challenges. A functional prototype was then deployed in a Streamlit-based application to provide an interactive diagnostic tool. The evaluation results demonstrated that the model achieved strong performance, with high training accuracy and competitive testing accuracy, while visualization through Saliency Mapping provided meaningful interpretability by highlighting critical lung regions, particularly the mid-to-lower lung fields and hilar area. This interpretability ensured that the system not only delivered accurate predictions but also supported clinical reasoning by aligning with radiological characteristics of early-stage pneumonia and bronchopneumonia. The integration into a user-friendly application illustrates the potential for practical adoption in healthcare settings, especially in regions with limited access to radiologists. Overall, the study demonstrates that combining CNN-based classification with explainable AI techniques can bridge the gap between advanced machine learning and clinical applicability, offering a strategic pathway to improve pneumonia diagnosis and patient outcomes.
Stress and Motivation to Smoke among Adolescents Firdaus, Insanul; Arnas Suwarni, Anggita; Agung Yudhianto, Kresna; Mei Astuti, Andriani; Witriyani, Witriyani
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4225

Abstract

Background: Stress is a condition of anxiety or mental strain brought on by challenging circumstances and motivates us to face obstacles and dangers in life. Stress often experienced by adolescents, with a reported high prevalence of depression among teenagers. Each person uses different stress coping techniques, some of which are beneficial and others of which are detrimental. Smoking is one of the negative stress coping strategies that some people turn to in the hopes of finding mental calm. However, smoking behavior is dangerous for both active and passive smokers, who may experience a range of illnesses, including cancer, lung disease, impotence, reproductive abnormalities, stroke, and possibly fatal pregnancy issues for the fetus. Objective: The aim of this research is to determine the relationship between stress levels and smoking motivation among adolescents. Method: This research is a quantitative descriptive study with a cross-sectional approach by involving 80 subjects of adolescents. The research instrument used a questionnaire that had been tested for validity. Analysis of this research data used the Spearman Rho test. Results: It was discovered that 38 subject (47.5%) had low level of stress, 26 subject (32.5%) had moderate levels of stress, 9 (11,25%) had high levels of stress, 7 (8,75%) had very high levels of stress. Smoking motivation was discovered that 59 subject (73.75%) had moderate smoking motivation, 31 subject (38.75%) had high smoking motivation. Conclusion: There is a relation between stress levels and smoking motivation among adolescents with a significance value of 0.00 (p<0.05).