TIF_E41200505/templates/roadmap.html

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HTML

<div id="uni_roadmap" class="uni-roadmap uk-section uk-section-large@m uk-panel uk-overflow-hidden">
<div class="uk-container uk-container-small">
<header class="uk-grid-xsmall uk-flex-center uk-flex-middle uk-text-center uk-child-width-auto@m uk-grid"
data-uk-grid>
<div class="uk-panel">
<h2 class="uk-h3 uk-h1@m">Proses Sistem Klasifikasi</h2>
</div>
</header>
<div class="uk-panel uk-margin-medium-top uk-margin-2xlarge-top@m">
<div class="uk-grid-column-large uk-grid-row-collapse@m uk-grid-divider uk-child-width-1-2@m uk-text-muted uk-grid"
data-uk-grid="">
<div>
<div
class="uni-phase uk-panel uk-card uk-card-small uk-card-medium@m uk-radius uk-radius-xlarge@m uk-box-shadow-xsmall dark:uk-background-white-5">
<span
class="uni-phase-progress uk-text-small uk-text-bold uk-position-top-right uk-position-small uk-text-white uk-background-gradient"><span>1</span></span>
<div class="uk-panel">
<span class="uni-phase-count uk-text-overline uk-text-gradient">Phase 01</span>
<h3 class="uni-phase-title uk-h4 uk-h3@m uk-margin-remove-bottom">Pengumpulan Data</h3>
<p class="uni-phase-description uk-text-large@m">Mengumpulkan gambar produk yang
dimanipulasi (misalnya, diubah warna, ditambahkan objek, dihapus bagian gambar) serta
data Real.</p>
</div>
</div>
</div>
<div class="uk-visible@m">
<canvas height="245"></canvas>
</div>
<div class="uk-visible@m">
<canvas height="245"></canvas>
</div>
<div>
<div
class="uni-phase uk-panel uk-card uk-card-small uk-card-medium@m uk-radius uk-radius-xlarge@m uk-box-shadow-xsmall dark:uk-background-white-5 uni-phase-even">
<span
class="uni-phase-progress uk-text-small uk-text-bold uk-position-top-right uk-position-small uk-text-white uk-background-gradient"><span>2</span></span>
<div class="uk-panel">
<span class="uni-phase-count uk-text-overline uk-text-gradient">Phase 02</span>
<h3 class="uni-phase-title uk-h4 uk-h3@m uk-margin-remove-bottom">Praproses Gambar</h3>
<p class="uni-phase-description uk-text-large@m">Ukuran semua gambar disesuaikan, nilai
piksel dinormalisasi, dan teknik augmentasi data diterapkan untuk meningkatkan jumlah
data dan mencegah overfitting.</p>
</div>
</div>
</div>
<div>
<div
class="uni-phase uk-panel uk-card uk-card-small uk-card-medium@m uk-radius uk-radius-xlarge@m uk-box-shadow-xsmall dark:uk-background-white-5">
<span
class="uni-phase-progress uk-text-small uk-text-bold uk-position-top-right uk-position-small uk-text-white uk-background-gradient"><span>3</span></span>
<div class="uk-panel">
<span class="uni-phase-count uk-text-overline uk-text-gradient">Phase 03</span>
<h3 class="uni-phase-title uk-h4 uk-h3@m uk-margin-remove-bottom">Ekstraksi Fitur Error
Level Analysis (ELA)</h3>
<p class="uni-phase-description uk-text-large@m">ELA menghitung perbedaan kompresi di setiap
piksel, kemudian mengubahnya menjadi peta fitur, yang menunjukkan potensi manipulasi
pada gambar.</p>
</div>
</div>
</div>
<div class="uk-visible@m">
<canvas height="245"></canvas>
</div>
<div class="uk-visible@m">
<canvas height="245"></canvas>
</div>
<div>
<div
class="uni-phase uk-panel uk-card uk-card-small uk-card-medium@m uk-radius uk-radius-xlarge@m uk-box-shadow-xsmall dark:uk-background-white-5 uni-phase-even">
<span
class="uni-phase-progress uk-text-small uk-text-bold uk-position-top-right uk-position-small uk-text-white uk-background-gradient"><span>4</span></span>
<div class="uk-panel">
<span class="uni-phase-count uk-text-overline uk-text-gradient">Phase 04</span>
<h3 class="uni-phase-title uk-h4 uk-h3@m uk-margin-remove-bottom">Klasifikasi dengan
Convolutional Neural Network (CNN)</h3>
<p class="uni-phase-description uk-text-large@m">Model CNN dibangun untuk klasifikasi
gambar, dilatih dengan menggunakan peta fitur ELA dan label gambar, serta dievaluasi
kinerjanya pada set data validasi untuk mengukur akurasi dan efektivitasnya dalam
mengklasifikasikan gambar.</p>
</div>
</div>
</div>
<div>
<div
class="uni-phase uk-panel uk-card uk-card-small uk-card-medium@m uk-radius uk-radius-xlarge@m uk-box-shadow-xsmall dark:uk-background-white-5">
<span
class="uni-phase-progress uk-text-small uk-text-bold uk-position-top-right uk-position-small uk-text-white uk-background-gradient"><span>5</span></span>
<div class="uk-panel">
<span class="uni-phase-count uk-text-overline uk-text-gradient">Phase 05</span>
<h3 class="uni-phase-title uk-h4 uk-h3@m uk-margin-remove-bottom">Pengujian Model</h3>
<p class="uni-phase-description uk-text-large@m">Uji aplikasi dengan berbagai gambar produk
untuk memastikan akurasinya.</p>
</div>
</div>
</div>
<div class="uk-visible@m">
<canvas height="245"></canvas>
</div>
<div class="uk-visible@m">
<canvas height="245"></canvas>
</div>
<div>
<div
class="uni-phase uk-panel uk-card uk-card-small uk-card-medium@m uk-radius uk-radius-xlarge@m uk-box-shadow-xsmall dark:uk-background-white-5 uni-phase-even">
<span
class="uni-phase-progress uk-text-small uk-text-bold uk-position-top-right uk-position-small uk-text-white uk-background-gradient"><span>6</span></span>
<div class="uk-panel">
<span class="uni-phase-count uk-text-overline uk-text-gradient">Phase 06</span>
<h3 class="uni-phase-title uk-h4 uk-h3@m uk-margin-remove-bottom">Pengembangan Aplikasi</h3>
<p class="uni-phase-description uk-text-large@m">Antarmuka pengguna dibangun untuk
mengunggah gambar produk, kemudian model CNN yang telah dilatih diintegrasikan ke dalam
aplikasi. Hasil klasifikasi (asli atau dimanipulasi) ditampilkan kepada pengguna,
memberikan informasi tentang keaslian gambar produk yang diunggah.</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- roadmap end -->
<img class="uk-width-2xsmall uk-flex-center uk-margin-auto uk-margin-medium uk-margin-large@m"
src="../static/assets/images/divider-01.svg" alt="Divider"
data-anime="opacity:[0, 1]; translateY:[24, 0]; onview: true; delay: 100;">