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Enhancing Teachers Proficiency with Digital Interactive Learning Resources for Differentiated Instruction Yahya Yahya; Mira Febriana Sesunan; Nur Syamsiyah; Husen Asbanu; Juan Pratama; Linda Nur Afifa; Darsono
JEPTIRA Vol 3 No 1 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.93

Abstract

The course seeks to enhance educators' competencies in creating customized learning experiences with digital interactive technologies, namely platforms like Wordwall and Quizizz. The event occurred on February 11, 2025, in the Bekasi region, involving high school and vocational school educators. The training materials encompassed the concept of diversified learning, an introduction to the Wordwall and Quizizz platforms, and exercises for developing interactive media that align with suitable teaching methodologies. The activity's outcomes demonstrated a notable enhancement in instructors' competencies in the creative and contextual utilization of digital media, alongside heightened understanding of the need of adaptive learning services tailored to student needs. This initiative enhances the transformation of digital education at the secondary school level.
Development of a Digital Signature Classification Information System for Documents Yahya Yahya; Eva Novianti; Anand Fiardhi Ramadhan
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 2 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i2.116

Abstract

A signature is a unique identity attached to a document, playing an essential role in verification and legal authentication. Legally, a signature represents the true authorization of the document’s owner. With the advancement of digital technology, signature pattern identification can now be performed not only manually but also with the support of computer-based systems. Recent studies in digital forensics and pattern recognition highlight the growing importance of automated signature verification to prevent falsification and ensure document integrity, especially within academic and administrative environments. This research aims to develop a web-based Digital Signature Classification Information System designed for use by administrative staff at the Faculty of Engineering, Universitas Darma Persada. The objective is to provide an accessible tool capable of distinguishing between genuine and forged digital signatures with higher accuracy and reliability. The system applies image processing techniques combined with automated classification methods to analyze signature characteristics and determine authenticity. Through this approach, the system reduces the dependency on manual inspection, which is often time-consuming and prone to human error. The results of the implementation show that the system is able to classify digital signatures effectively and can be operated easily by administrative personnel. Its deployment is expected to improve the security, validity, and accuracy of signed documents within the faculty’s administrative workflow. Overall, the system offers a practical solution for enhancing document verification processes and reducing risks associated with signature forgery