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All Journal Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems
Haekal Febriansyah Ramadhan
Universitas Negeri Makassar
Computer Science & IT Education

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End-to-End Encryption Security Analysis on Telegram for User Message Protection Fadhlirrahman Baso; Ayu Hasnining; Haekal Febriansyah Ramadhan; Auralia Putri Nurani; Fadillah Muhlis
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9847

Abstract

This study systematically reviews the credibility of artificial intelligence (AI)–based authentic assessment in evaluating numeracy achievement among early-grade primary students. The growing use of AI in educational assessment—ranging from automated scoring to adaptive feedback—has raised questions regarding its validity, reliability, and fairness. Using a qualitative descriptive approach through a systematic literature review, this study synthesizes eighteen high-quality publications issued between 2020 and 2025 from major academic databases. Thematic analysis identifies three interrelated findings. First, algorithmic accuracy must be complemented by human validation to prevent bias and preserve contextual meaning. Second, collaboration between teachers and AI systems enhances interpretive credibility and fosters reflective learning practices. Third, integrating AI ethics and literacy within primary school curricula is essential to ensure fair and transparent assessment outcomes. The results indicate that credible AI-based evaluation depends not solely on computational precision but also on socially grounded interpretation supported by ethical and pedagogical principles. Theoretically, this study reinforces Vygotsky’s social constructivist perspective and the Assessment for Learning (AfL) paradigm, positioning AI as a cognitive scaffold that enables reflective interaction among students, teachers, and technology. Practically, it offers implications for educational policy in Indonesia’s Merdeka Curriculum, emphasizing teacher training, ethical guidelines, and algorithmic transparency to promote equitable digital learning ecosystems. This study uniquely integrates AI assessment credibility with the context of early numeracy, providing original insights and advancing theoretical discourse on ethical, human-centered, and contextually responsive digital assessment practices in primary education.
Development and Optimization of An Automated Thesis Format Checking System For Undergraduate Students At Universitas Negeri Makassar Haekal Febriansyah Ramadhan
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.9211

Abstract

This research presents the development and optimization of an automated thesis format checking system tailored for undergraduate students at Universitas Negeri Makassar (UNM). Motivated by the disproportionate ratio of 1538 students to 52 lecturers in the Informatics and Computer Engineering Education Study Program, this project aims to reduce lecturers’ workload by automating compliance verification with institutional thesis formatting guidelines. A web-based application was developed using an iterative, consultation-driven design approach involving system prototyping, expert testing, and feedback-based refinement. The application detects elements such as font usage, margins, spacing, and heading structure based on the official formatting standards. Expert feedback indicated a high satisfaction level (4.36/5). Although current limitations include manual file uploads and lack of integration with UNM's official systems, the tool significantly enhances efficiency and consistency in academic supervision. Future developments aim at full portal integration and real-time feedback mechanisms.
Co-Authors Auralia Putri Nurani Ayu Hasnining Fadhlirrahman Baso Fadillah Muhlis