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								<h1>About</h1>
								<p class="mb-4">ARI.SCAN is a platform that aims to detect Acute Respiratory Infections (ARI) caused by bacteria. This is a valuable resource for individuals, medical professionals, and the general public interested in better understanding the bacteria associated with ARI.</p>
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					<h3>Jember State Polytechnic - Information Technology</h3>
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					For interested Information Technology students, we provide access to public datasets about ISPA which can be used for developing intelligent applications and systems to support early detection and management of ISPA cases. In addition, we also invite you to collaborate on research projects aimed at increasing understanding of the dynamics of bacteria that cause ARI and developing innovative information technology solutions.
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					At ARI.SCAN, we present the latest overview of bacterial detection techniques, starting from artificial intelligence-based approaches and big data analysis. We discuss Digital Image processing techniques and the Random Forest Algorithm used to detect the presence of ARI-causing bacteria in the analyzed samples.</li>
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					Through the investigations and experiments carried out at ARI.SCAN, we hope to make a significant contribution to improving the accuracy and availability of ARI bacteria detection solutions. 
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						<h5 class="section-title">Zilvanhisna Emka Fitri, ST. MT.</h5>
						<p>Dosen D4 Teknik Informatika, Politeknik Negeri Jember</p>
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						<h5 class="section-title">Ir. Arizal Mujibtamala Nanda Imron, ST., MT.</h5>
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						<h5 class="section-title">Dimas Fany Azzuzi</h5>
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