https://journal.ittelkom-pwt.ac.id/index.php/ledger/issue/feed 2024-02-13T10:00:57+08:00 Aditya Wijayanto, S.Kom., M.Cs. aditya@ittelkom-pwt.ac.id Open Journal Systems <p>LEDGER : Journal Informatic and Information Technology is a peer-reviewed, scientific journal published by Informatics Faculty of Institut Teknologi Telkom Purwokerto (ITTP) with <a href="https://issn.brin.go.id/terbit/detail/20220831591045739">ISSN 2963-8798</a><strong><a href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&amp;1530165541&amp;1&amp;&amp;" target="blank">&nbsp;</a></strong>. The aim of this journal is to publish articles dedicated to all aspects of the latest outstanding developments in the fields of Informatics, Information System, Software Engineering and Applications. It will be publish Four Times in a year <strong>February</strong>,&nbsp;<strong>May, August</strong>&nbsp;and<strong>&nbsp;November.</strong></p> https://journal.ittelkom-pwt.ac.id/index.php/ledger/article/view/1385 2024-02-13T10:00:56+08:00 Andhika Galuh Prabawati andhika.galuh@staff.ukdw.ac.id Albertus Joko Santoso albjoko@staff.uajy.ac.id Suyoto Suyoto suyoto@staff.uajy.ac.id

<p>The importance of well-integrated data is currently very much needed in various aspects of the field, especially in the field of education. Higher education requires data that is well integrated to meet the needs of performance analysis when submitting accreditation. One way to integrate this data is to build a data warehouse. The data warehouse is visualized with a Dashboard to make it easier for users to see the current conditions at their institution. The dashboard has been widely used but cannot be adequately delivered without the existence of a Key Performance Indicator (KPI). Higher education institutions use KPIs to measure performance program achievements that have been prepared annually. KPI is a reference for stakeholders to make decisions from current achievements. This study will try to develop KPIs that are sourced from documents and accreditation forms of Study Programs as recommendations in the ABC Study Program of Informatics in the construction of academic data warehouses. The purpose of this study is that the method of developing KPI made by researchers can be applied by the needs of the ABC Study Program.</p>

2024-02-13T09:46:54+08:00 ##submission.copyrightStatement## https://journal.ittelkom-pwt.ac.id/index.php/ledger/article/view/1387 2024-02-13T10:00:56+08:00 Dany Candra F danycandra@ittelkom-pwt.ac.id Gunawan Wibisono gunawan@ittelkom-pwt.ac.id Maulida Ayu F maulidaayuf@ump.ac.id Mahazam Afrad mahazamafrad@ittelkom-pwt.ac.id

<p><em>Magnetic Resonance Imaging</em> (MRI) adalah suatu teknik pencitraan digital dalam mendeteksi adanya tumor otak. Pentingnya deteksi dini tumor otak menjadi fokus utama dalam bidang medis. Pendeteksian tumor sejak dini membantu menentukan potensi keganasan tumor tersebut sejak awal. Seiring berkembangnya teknologi, <em>deep learning</em> telah diterapkan secara luas, terutama dalam bidang pencitraan medis. <em>Convolutional Neural Network</em> (CNN) menjadi salah satu teknik <em>deep learning</em> yang umum digunakan untuk mengklasifikasikan citra pada MRI. Pengembangan CNN melalui model <em>pre-trained</em> menjadi topik penelitian yang menarik karena memiliki potensi untuk meningkatkan kinerja model pada berbagai tugas pengolahan citra. Penelitian ini berfokus pada salah satu model <em>pre-trained</em> CNN yaitu VGG 16. VGG-16 merupakan CNN dengan 16 lapisan konvolusi, semakin dalam lapisan konvolusi akan meningkatkan hasil klasifikasi. Hasil penelitian menunjukkan bahwa VGG-16 dapat mencapai tingkat akurasi prediksi hingga 97%, memberikan harapan positif dalam meningkatkan keefektifan diagnosis dan penanganan penyakit tumor otak melalui penerapan teknologi canggih seperti <em>deep learning</em>.</p>

2024-02-13T09:52:50+08:00 ##submission.copyrightStatement##