Article Per Year (5 Year)
p-Index From 2021 - 2026
2.771
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Terapan Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Journal of Security, Computer, Information, Embedded, Network and Intelligence System Paramacitra : Jurnal Pengabdian Masyarakat Journal of Vocational, Informatics and Computer Education
Fadhlirrahman Baso
Universitas Negeri Makassar
Humanities Computer Science & IT Education Engineering Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Information Technology Education Journal

 1 
Implementasi Teknik Kriptografi dengan Metode AES 256 untuk Keamanan File Fadhlirrahman Baso; Natalia Anriani L
Information Technology Education Journal Vol. 3, No. 3, September (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v3i3.5525

Abstract

Pesatnya perkembangan teknologi komputer membuat keamanan informasi menjadi suatu kebutuhan mendesak. Penelitian ini mengimplementasikan teknik kriptografi dengan metode Advanced Encryption Standard (AES) 256 untuk meningkatkan keamanan file. Kriptografi merupakan solusi yang efektif untuk menjaga kerahasiaan dan integritas data. AES 256 dipilih karena keamanannya yang tinggi dan efisiensi dalam penggunaan daya komputasi. Penelitian ini melibatkan instalasi dan penggunaan OpenSSL sebagai toolkit kriptografi. Langkah-langkah eksperimen melibatkan enkripsi dan dekripsi file menggunakan AES 256. Hasil penelitian menunjukkan bahwa implementasi ini efektif dalam melindungi informasi dari akses yang tidak sah, meningkatkan tingkat keamanan data, efisiensi waktu pemrosesan data, dan kesulitan bagi pihak yang tidak berwenang untuk membaca data.
Understanding IoT Privacy Policies: Perceptions and Concerns of College Students Regarding Data Security Fadhlirrahman Baso
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7426

Abstract

The development of Internet of Things (IoT) technology presents new challenges related to personal data protection. Among university students, the use of IoT devices is increasing, yet their understanding of privacy policies remains low. This study aims to analyze students’ understanding of IoT application privacy policies and their impact on personal data security. A quantitative descriptive approach was employed, utilizing an online questionnaire filled out by student respondents. The data analysis results indicate that the proportion of students who rarely read privacy policies and have limited understanding of them is relatively high. Only 22.65% of respondents reported regularly reading privacy policies, 20.55% demonstrated an understanding of privacy policies, and 20.27% expressed concern about the misuse of personal data. These findings indicate that most students do not read IoT application privacy policies, resulting in a relatively low level of concern about potential data misuse. Therefore, more accessible and comprehensible privacy policies are necessary to improve privacy literacy and enhance user trust in IoT mobile applications. Clearer privacy policies and increased education on the importance of privacy are essential to improve digital literacy and strengthen user confidence.
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.
Co-Authors A. Fadil A. Novia Ramadani Ahmad Faris Al Faruq Al Imran Alfiani Alfiani Ali Mirza Najafi Ambo Dalle Andi Muh Achyar AM Andi Tenriola Bangsawan A.S Ardi Ansya Auralia Putri Nurani Ayu Hasnining Fadillah Muhlis Fariz Ramlan Febrianti Tandi Ra’pak Haekal Febriansyah Ramadhan Hartini Ramli Indah Febriyani Asril Iqvhan Muhqisar Johar Amir Kurnia Prima Putra M. Syahid Nur Wahid Marwan Ramdhany Edy Muh. Albar Muh. Nur Irfan Muhammad Alif Leo Muhammad Ardiansyah Muhammad Fajar B Muhammad Rahmat Ramadan Nasrah Natsir Natalia Anriani L Nur Aisyah Mukhtar Nur Azizah Ayu Safanah Nur Inayah Idil Rahmadani Rahmadani Rahmadani Sri Wahyuni Tessa` Labennu Veronika Asri Tandirerung Wahyu Hidayat M Wahyuni, Maya Sari Wilda Inaya Syafdwi