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A Technical Feasibility Study of Handwritten Digit Recognition Using VGG19, XGBoost, and Structural Similarity Analysis for Digital Learning Systems

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Published in:Jurnal Masyarakat Informatika
Format: Online Article RSS Article
Published: 2026
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container_title Jurnal Masyarakat Informatika
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:47074
institution FRELIP
journal_source_facet Jurnal Masyarakat Informatika
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Technical Feasibility Study of Handwritten Digit Recognition Using VGG19, XGBoost, and Structural Similarity Analysis for Digital Learning Systems
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
subject_facet — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
title A Technical Feasibility Study of Handwritten Digit Recognition Using VGG19, XGBoost, and Structural Similarity Analysis for Digital Learning Systems
title_auth A Technical Feasibility Study of Handwritten Digit Recognition Using VGG19, XGBoost, and Structural Similarity Analysis for Digital Learning Systems
title_full A Technical Feasibility Study of Handwritten Digit Recognition Using VGG19, XGBoost, and Structural Similarity Analysis for Digital Learning Systems
title_fullStr A Technical Feasibility Study of Handwritten Digit Recognition Using VGG19, XGBoost, and Structural Similarity Analysis for Digital Learning Systems
title_full_unstemmed A Technical Feasibility Study of Handwritten Digit Recognition Using VGG19, XGBoost, and Structural Similarity Analysis for Digital Learning Systems
title_short A Technical Feasibility Study of Handwritten Digit Recognition Using VGG19, XGBoost, and Structural Similarity Analysis for Digital Learning Systems
title_sort a technical feasibility study of handwritten digit recognition using vgg19, xgboost, and structural similarity analysis for digital learning systems
topic — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
url https://ejournal.undip.ac.id/index.php/jmasif/article/view/78073