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All Journal TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora QISTINA: Jurnal Multidisiplin Indonesia
Nurrahma, Suci
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Religion Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Other

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Development of VB.Net Based Educational Psychology Learning Media Applications Syahputra, Fahmy; Putri, Tansa Trisna Astono; Manurung, Ricardo; Nurrahma, Suci; Ginting, Ariyantika Br
QISTINA: Jurnal Multidisiplin Indonesia Vol 3, No 2 (2024): December 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v3i2.4226

Abstract

This article aims to develop a learning multimedia application specifically designed to support the learning process of educational psychology using the VB.Net programming language. With the increasing utilization of technology in education, the need for effective and interactive learning materials is becoming more urgent. This application comes with various features including learning material modules, interactive quizzes, and evaluation of learning outcomes that allow users to track their learning progress. In addition, the app is designed to be easily accessed and used by teachers and students, both in the classroom and in a self-study environment. The application development process includes many stages, from requirements analysis, system design, software development to testing and evaluation. The trial results show that this application has the potential to improve understanding of educational psychology concepts and provide a more dynamic learning experience. Through the use of this application, students can learn more deeply and repeatedly, thus significantly increasing their motivation and learning outcomes.
Keamanan Pengenalan Wajah Berbasis Deep Learning: Tinjauan Sistematis Serangan Adversarial dan Strategi Pertahanan (Systematic Literature Review) Syahputra, Fahmy; Sabrina, Elsa; Sitorus, Andika; Lubis, Khodijah May Nuri; Saragi, Frans Jhonatan; Nurrahma, Suci; Sinaga, Novi Novanni
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 6, No 4 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/trilogi.v6i4.13424

Abstract

Deep learning–based face recognition is widely adopted due to its strong performance, yet its susceptibility to attacks—particularly adversarial attacks—poses critical risks to the security and reliability of biometric systems. This study presents a Systematic Literature Review (SLR) to synthesize evidence on performance, vulnerabilities, and defense strategies in deep learning–based face recognition. The review follows PRISMA guidelines, including literature retrieval from reputable scholarly sources, deduplication, title/abstract screening, and full-text eligibility assessment based on predefined inclusion and exclusion criteria. Study quality is examined through critical appraisal, and findings are synthesized using thematic analysis, yielding four major themes: (1) model performance and factors influencing accuracy, (2) attack types and their impact on recognition outcomes, (3) defense mechanisms and their effectiveness, and (4) real-world deployment constraints (e.g., illumination, pose, image quality, and identity scale). The synthesis indicates that high accuracy does not necessarily imply high robustness; several defenses (e.g., adversarial training, attack detection, and robust learning) can improve resilience but may introduce trade-offs in computational cost and/or accuracy. This review provides a comparative synthesis and a conceptual model linking accuracy–attacks–defenses, and offers practical recommendations for model selection and security evaluation design. Limitations include heterogeneity in datasets and experimental protocols, inconsistent reporting metrics, and potential publication bias
Co-Authors Ginting, Ariyantika Br Lubis, Khodijah May Nuri Manurung, Ricardo Putri, Tansa Trisna Astono SABRINA, ELSA Saragi, Frans Jhonatan Sinaga, Novi Novanni Sitorus, Andika Syahputra, Fahmy