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All Journal Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Yahya Yahya
Darma Persada University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Social Sciences Other

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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.
Pengembangan Sistem Informasi Lowongan Kerja di Career Center Universitas Darma Persada Yahya Yahya; Endang Ayu Susilawati; Eva Novianti; Rahmadanti
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.83

Abstract

Career centers play a vital role in bridging the gap between higher education and the workforce by helping students and alumni access job opportunities and develop relevant skills. At Universitas Darma Persada, the career center faced challenges in disseminating job vacancy information efficiently due to time constraints and limited distribution methods, primarily via Instagram. This study aims to design and develop a web-based job vacancy information system to improve accessibility and communication between job seekers and employers.The uniqueness of this research lies in the development of a role-based job portal system that integrates multiple user roles, namely job seekers (students and alumni), career staff, and employers, into a single digital platform. The objective is to accelerate job vacancy publication, facilitate job applications, and streamline employer access to candidate data.This study adopts the Waterfall methodology, including stages of requirement analysis, system design, implementation, and testing. Data were collected through observation, interviews, and literature review. The final system was developed using Visual Studio Code, PHP, MySQL, and other web development tools.The results show that the system successfully reduces delays in job vacancy announcements, expands reach beyond Instagram, and provides a more structured and interactive recruitment process. Employers can post jobs and review CVs, while job seekers can apply directly and track their application status. The system has proven effective in enhancing the career center’s role in graduate employability support.
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
Co-Authors Anand Fiardhi Ramadhan Darsono Endang Ayu Susilawati Eva Novianti Husen Asbanu Juan Pratama Linda Nur Afifa Mira Febriana Sesunan Nur Syamsiyah Rahmadanti