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All Journal Ganendra: Majalah IPTEK Nuklir Jurnal Teknologi Pertanian MONETER JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information Systems and Informatics Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal Medical Informatics Technology JURNAL ILMIAH GEMA PERENCANA The Indonesian Journal of Computer Science
Eko Priyono
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Journal : Journal Medical Informatics Technology

 1 
Tubercolusis Segmentation Based on X-ray Images Priyono, Eko; Fatah, Teddy Al; Ma’mun, Sukrul; Aziz, Faruq
Journal Medical Informatics Technology Volume 1 No. 4, December 2023
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v1i4.22

Abstract

Tuberculosis or TB is an infectious disease caused by the bacteria Mycobacterium tubercolusis. This disease usually attacks the lungs, but can also affect other organs such as the kidneys, bones and brain. TB is highly contagious, and can spread through the air when someone who is infected coughs or sneezes. Risk factors that can increase a person's chances of developing TB include a weak immune system, such as people with AIDS, diabetes, or people taking immunosuppressant drugs. And people who live or work in environments with high rates of TB transmission are also at risk of infection. Symptoms of TB are usually a cough that lasts more than three weeks, unexplained weight loss, fever, night sweats and persistent fatigue. In more severe cases, TB can cause coughing up blood, chest pain and difficulty breathing. One of the examination tools that can be used to detect TB disease is x-rays. Which produces X-Rays to help and confirm the diagnosis of TB disease, to see the chest part of the body which is used as medical record documentation. In X-ray photos, random dark and light spots of noise are often found which are caused by several factors. Based on the facts above, image segmentation is an important task for doctors in diagnosing disease. Automatic detection or segmentation of lung images from chest x-ray images is the initial stage of the diagnosis process. This research aims to implement a segmentation method to determine edge detection in clearer images using several segmentation methods, namely the Canny Edge Detection method, Sobel reading chest x-ray results for tuberculosis. And canny edge detection with segmented RGB image (otsu's thresholding) produces the highest value, namely 230,466.0 pixels and a lesion volume of 14,818.625 mm3.
Effects of Diet and Physical Activity on Coronary Heart Disease Risk Among Badminton Players Priyono, Eko; Ma'mun, Sukrul
Journal Medical Informatics Technology Volume 2 No. 2, June 2024
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v2i2.36

Abstract

Coronary heart disease is caused by the narrowing or blockage of coronary arteries due to the buildup of fat and cholesterol, which hinders blood flow to the heart. This study aims to determine the relationship between dietary patterns and physical activity with coronary heart disease in the badminton player community in Indonesia. This research uses a cross-sectional design. The sample was taken using accidental sampling, involving 100 badminton players from various clubs in Indonesia. Data were collected using a questionnaire on June 24-27, 2024, and analyzed with SPSS using the chi-square test. The results showed that 100% of respondents did not have coronary heart disease, 64% often consumed carbohydrates, 71% often consumed protein, 71% rarely consumed fat, 56% rarely consumed fiber, 73% rarely consumed cholesterol, and 79% had heavy physical activity. The chi-square test showed a significant relationship between heavy physical activity and a family history of coronary heart disease (p-value = 0.036) and a nearly significant relationship between fat consumption and a family history of coronary heart disease (p-value = 0.066). The odds ratio showed a significant value (p-value = 0.019). These results indicate that there may be a relationship between the variables tested, although the Pearson Chi-Square did not reach conventional significance, requiring further research for confirmation.
Co-Authors Apriyanto, Mulono Aziz, Faruq Fatah, Teddy Al Hendri Maulana Ispandi Ispandi, Ispandi Ma'mun, Sukrul Ma’mun, Sukrul Ninsix, Retti Retti Ninsix Rusdi Rusdi Syarip Syarip Yohannes Sardjono