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All Journal Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Journal of Electronics, Electromedical Engineering, and Medical Informatics
Mulkan Azhary
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Other

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Helminthiasis prevalence in brick makers at Lambada Peukan Village, Aceh Besar Region, Indonesia Dedy Syahrizal; Cut Mustika; . Ikhsan; Mulkan Azhary
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 1, No 1 (2011): Life Sciences
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (66.076 KB)

Abstract

Helminthiasis are the common health problem in the develop country. WHO prediction  400 million people had infection of helminthiasis. Soil is the usual media to transmitted helminth to human (soil transmitted helminthiasis). One of the rule worker that has hard contact  to helminth is the brick maker. This activity usual doing with convensional technique.The objective of  this devotion are to knowing helminthiasis prevalence on brick maker in Lambada Peukan Village. The primer data is the count of helminthiasis that get from feces examination in laboratory. This result overgo to promotive, preventive and curative activity.The helminthiasis prevalence in Lambada Peukan is 37,5%. To resolve this problem we doing the preventive and curative activity with giving albendazole preparat and Ferrum. Beside that we also make education activity to the workers. The aim of this activity is to increase need and ability of  the worker  to maintance from helminthiasis. The workers who in participated in this programme had having positive response that they want  to participated in all off this programme. 
The Influence of MMP-3 towards MMP-9 among Emphysematous Patients from Gingival Crevicular Fluid and Sputum Mulkan Azhary; Muhammad Amin; Soetjipto Soetjipto; Mulyadi Mulyadi; Sunnati Sunnati
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 5, No 2 (2015): Life Sciences
Publisher : Syiah Kuala University

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The elevated activity of matrix metalloproteinase (MMP)-9 has been responsible for degradation of extracellular matrix (ECM) within lung parenchyma leading to emphysema among patientssuffering from chronic obstructive pulmonary disease (COPD). Prolonged exposure of smokinghad triggered activation of both MMP-9 and MMP-3. Active MMP-3 might degrade numerous kinds of ECM and act as MMP-9 inducer as well. The study aimed to correlate active MMP-3 towards elevated MMP-9 activity from both gingival crevicular fluid (GCF) and sputum to assess breakage of extracellular matrix (ECM) among emphysematous patients. Fifteen emphysematous respondents suffering from COPD were recruited to undergo thoroughly physical assessment, spirometry, and radiological examination. Then, both GCF and sputum were collected for measurement of MMP-3 and MMP-9 activity. Results showed that MMP-3 activities were correlated positively and significant with elevated MMP-9 activities from both GCF and sputum i.e. r = 0.899 (p0.05) and r = 0.770 (p0.05) respectively. Smoking exposure released many radicals and oxidants generating elevation of MMP-3 activity which then influenced repeatedly influx of neutrophils and activation of MMP-9. The role of active MMP-3 also involved in either acute inflammatory or broad ECM breakage. Moreover, active MMP-9 might lead mainly the degradation of ECM within lung parenchyma. Because of similar effect and impact concerning ECM degradation, both active MMP-3 and MMP-9 might concurrently cause larger breakage of ECM leading to lung emphysema among COPD patients. This study showed that both GCF and sputum would be assigned to evaluate active MMP-3 and MMP-9 for assessing ECM degradation among emphysematous patients.
Intelligent Tuberculosis Detection System with Continuous Learning on X-ray Images A'yuni, Qurrata; Nasaruddin, Nasaruddin; Irhamsyah, Muhammad; Azhary, Mulkan; Roslidar, Roslidar
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 1 (2025): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i1.572

Abstract

Tuberculosis (TB) has become a global health threat with millions of cases each year. Therefore, rapid and accurate detection is needed to control its spread. The application of artificial intelligence, especially Deep Learning (DL), has shown great potential in improving the accuracy of TB detection through DL-based X-ray image analysis. Although many studies have developed X-ray image classification models, very few have integrated them into web or mobile platforms. In addition, the models integrated into these platforms generally do not apply continuous learning methods so that model performance cannot be updated. Thus, it is necessary to build an intelligent system based on a web application that integrates the ResNet-101 model for TB detection in X-ray images. This system utilizes continuous learning methods, allowing the model to automatically update itself with new data, thereby improving detection performance over time. The results showed that before continuous learning, the model successfully classified all TB images correctly, but was only able to classify two normal images correctly, resulting in an accuracy of 62.5%. After manual continuous learning, the model showed an increase in accuracy to 71.4%, with better ability to recognize normal images, although there was a slight decrease in performance in detecting TB.
Co-Authors . Ikhsan . Roslidar A'yuni, Qurrata Cut Mustika Dedy Syahrizal Muhammad Amin Muhammad Irhamsyah Mulyadi Mulyadi Nasaruddin Nasaruddin Soetjipto Soetjipto Sunnati Sunnati