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All Journal Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Jurnal Sistem Informasi dan Ilmu Komputer
Ziyad Habibul Mikraj
Unknown Affiliation
Computer Science & IT

Published : 2 Documents Claim Missing Document
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Sistem Informasi Surat Elektronik Badan Diklat Keagamaan Kota Medan Berbasis Web Menggunakan Penegembangan Waterfall Adelia Fairiza Putri; Cindy Aulia Amanda; Zidanul Akbar; Ziyad Habibul Mikraj
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 3 (2025): Mei: Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i6.302

Abstract

Work Practice is a form of providing education and skills training that systematically and synchronously combines educational programs on campus and skills mastery programs obtained through working in the world of work, aimed at achieving a certain level of professional expertise. This work practice is part of an internship program implemented by the North Sumatra State Islamic University (UINSU) consisting of students from the Computer Science Study Program, Faculty of Science and Technology. North Sumatra State Islamic University (UINSU). The author was assigned to the Medan City Religious Education and Training Agency, one of whose duties was compiling and archiving documents. The author supervises and reviews the progress of structuring and writing documents at the Education and Training Agency. The method for implementing the internship/field work practice program (Magang) used by students is Project Based Learning (PBL) is a teaching method where students learn by being actively involved in projects in the real world and with personal meaning. This MBKM program internship activity results in the transfer of knowledge, transfer of skills, and transfer of new technology which will be useful for students as guidance and useful experience in the world of work in the future.
Inovasi Kecerdasan Komputer Mendorong Masa Depan Bioinformatika yang Lebih Cerdas Anggy Dwi Anggreny; Rizki Ramadani Ritonga; Gali Aditya Putra; Mikoa Alfatih Harahap; Ziyad Habibul Mikraj; Fahmi Fahmi
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.v3i1.4443

Abstract

Computer intelligence, particularly Artificial Intelligence (AI), has become a cornerstone in advancing bioinformatics. This study aims to explore the role of AI in addressing the challenges of analyzing complex biological data, especially in genomics, proteomics, and metabolomics. Using machine learning (ML) and deep learning (DL) algorithms, AI efficiently processes large-scale data, accelerates genomic research, predicts protein structures, and identifies disease biomarkers. However, challenges such as data quality, computational limitations, and privacy issues remain barriers to its implementation. The findings of this study highlight the importance of continuous innovation, multidisciplinary collaboration, and strict regulations in AI applications. In conclusion, AI holds great potential to revolutionize bioinformatics, significantly impacting scientific research and the development of global healthcare systems.
Co-Authors Adelia Fairiza Putri Anggy Dwi Anggreny Cindy Aulia Amanda Fahmi Fahmi Gali Aditya Putra Mikoa Alfatih Harahap Rizki Ramadani Ritonga Zidanul Akbar