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    <title>DSpace Collection: PHA E-books and IPR Collection</title>
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    <description>PHA E-books and IPR Collection</description>
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        <rdf:li rdf:resource="http://http://repository.i3l.ac.id:80/handle/123456789/1081" />
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    <dc:date>2026-04-22T02:09:35Z</dc:date>
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    <title>Computer Vision network-based detection of brain cancer with Magnetic Resonance Imaging (MRI) pictures</title>
    <link>http://http://repository.i3l.ac.id:80/handle/123456789/1081</link>
    <description>Title: Computer Vision network-based detection of brain cancer with Magnetic Resonance Imaging (MRI) pictures
Authors: Shiloputra, Axel F
Abstract: Cancer is a complex disease that involves the growth of cells inside the body. In 2020, more&#xD;
than 10 million people died from cancer worldwide. One of them is brain cancer. Brain cancer itself&#xD;
has higher mortality rate on men rather than women. One of the tools that play pivotal role in&#xD;
detecting cancer is Artificial Intelligence. The Artificial Intelligence helps on analyzing the image&#xD;
pattern by using CT scan, MRI scan, and X-Rays. To help the Artificial Intelligence more, a Residual&#xD;
Network (ResNet) and Efficient Network (EfficientNet) will be used in the programming and help&#xD;
reducing human errors. Thus, Artificial Intelligence will be a big support on analyzing cancer,&#xD;
especially in its early stage. By doing this, it will help more lives in the future.</description>
    <dc:date>2024-09-01T00:00:00Z</dc:date>
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  <item rdf:about="http://http://repository.i3l.ac.id:80/handle/123456789/817">
    <title>Structural Bioinformatics Approach to Design Boradamantane-derivates Compounds as SARS-CoV-2 Inhibitors</title>
    <link>http://http://repository.i3l.ac.id:80/handle/123456789/817</link>
    <description>Title: Structural Bioinformatics Approach to Design Boradamantane-derivates Compounds as SARS-CoV-2 Inhibitors
Authors: Parikesit, Arli Aditya
Description: The novelty of this pipeline is devising the organoborane compounds as drug inhibitor of SARS-CoV-2</description>
    <dc:date>2022-02-07T00:00:00Z</dc:date>
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  <item rdf:about="http://http://repository.i3l.ac.id:80/handle/123456789/816">
    <title>Structural Bioinformatics Approach: Study Case in SARS-CoV-2 Inhibitor</title>
    <link>http://http://repository.i3l.ac.id:80/handle/123456789/816</link>
    <description>Title: Structural Bioinformatics Approach: Study Case in SARS-CoV-2 Inhibitor
Authors: Parikesit, Arli Aditya; Surjawan, Iwan
Description: This is one of the ideation product of the Penelitian Dasar DIKTI Grant about SARS-CoV-2 Drug Design. Moreover, the modules have been deployed in a CSR project in Kupang, NTT. You can check this paper for the evidence: https://journal.unnes.ac.id/nju/index.php/jpii/article/view/21437 "</description>
    <dc:date>2021-12-23T00:00:00Z</dc:date>
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  <item rdf:about="http://http://repository.i3l.ac.id:80/handle/123456789/815">
    <title>Utilizing Information System to Tackle Drug-Drug Interaction in Clinical Setting</title>
    <link>http://http://repository.i3l.ac.id:80/handle/123456789/815</link>
    <description>Title: Utilizing Information System to Tackle Drug-Drug Interaction in Clinical Setting
Authors: Valeska, Margaretta Deidre; Veneqe, Ike; Firmansyah, Moch.; Whisnu, Andreas; Crystalia, Audrey Amira; Agustriawan, David; Parikesit, Arli Aditya
Description: It is the depiction of the newly developed drug-drug interaction database, named as DDIBase. The prototype could be accessed in here, and you can ask the PI for access: https://ddi-cloud.i3l.ac.id/</description>
    <dc:date>2021-12-11T00:00:00Z</dc:date>
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