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All Journal Switch: Jurnal Sains dan Teknologi Informasi Jurnal Sistem Informasi dan Ilmu Komputer
Paris Alvito
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Computer Science & IT

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Implementation of UINSU Repository System for Publication of Electronic Collections of UIN Sumatera Utara Academic Community Paris Alvito; Bintang Hutagalung; Sultan Azka El Husein Lubis; Ananda Sarbaini Firin
Switch : Jurnal Sains dan Teknologi Informasi Vol. 3 No. 2 (2025): Maret : Switch : Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v3i1.338

Abstract

The need for an efficient system to manage academic works in digital format is growing in universities, including at Universitas Islam Negeri Sumatera Utara (UINSU). Despite previous developments in digital repository systems, many academic institutions, including UINSU, still face challenges related to data management, security, and accessibility. This study aims to develop a web-based repository system for UINSU using the Waterfall method, to improve the storage, management, and accessibility of academic resources. A structured quantitative approach was adopted, focusing on the development and implementation of the repository system. The Waterfall methodology was chosen due to its step-by-step approach, ensuring a thorough and organized development process. The implementation of the system resulted in an organized, user-friendly platform where students, faculty, and staff can upload, manage, and access academic documents efficiently. The system features a clear interface for searching, uploading, and managing documents, with administrative controls for approving and maintaining submissions. The repository system significantly improves data management at UINSU, providing a long-term solution for archiving academic work. Continuous evaluation and system upgrades are essential to ensure it adapts to future needs and technological advancements.
Sistem Kecerdasan Buatan dalam Bioinformatika : Trend dan Potensi di Masa Depan Zubaidah Zubaidah; Trisatin Panggabean; Paris Alvito; Zidanul Akbar; Cut Mirna Nadia
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 1 (2025): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i1.4430

Abstract

In recent decades, artificial intelligence (AI) has significantly advanced and shown great potential across various fields, including bioinformatics. This paper examines current trends in AI applications within bioinformatics, highlighting future potentials and the challenges of integrating these technologies. The research utilizes secondary data collection from scientific literature, books, conference reports, and official documents on AI and bioinformatics, sourced from reputable databases like Scopus, IEEE, PubMed, and Google Scholar. Through comparative analysis, similarities, differences, and technological advancements were identified and discussed. Descriptive narrative interpretation was employed to provide a holistic view of AI trends and potential in bioinformatics. Key findings indicate that AI, particularly machine learning and deep learning, is instrumental in genomic data analysis, protein structure prediction, drug discovery, and clinical bioinformatics. Furthermore, the study underscores the benefits of AI in enhancing data analysis accuracy and efficiency, while addressing ethical and technical challenges. Future prospects emphasize the importance of interdisciplinary collaboration to fully leverage AI's capabilities in bioinformatics.
Co-Authors Ananda Sarbaini Firin Bintang Hutagalung Cut Mirna Nadia Sultan Azka El Husein Lubis Trisatin Panggabean Zidanul Akbar Zubaidah Zubaidah