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All Journal Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Computers and Digital Business
Ayu Azzahra Batubara
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Rancangan Desain Prototype RFID Pada Presensi Mahasiswa Menggunakan KTM Di Prodi Sistem Informasi UINSU wardana, aji; Ayu Azzahra Batubara; Bagus Sopian Wanandi; Cahaya Muzaddidah; Kiki Andrea; Muhammad Abdurrahman Hafizh
Jurnal Komputer Teknologi Informasi dan Sistem Informasi (JUKTISI) Vol. 1 No. 3 (2023): Februari 2023
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v1i3.40

Abstract

Pada penelitiakan ini kami akan merancang sebuah sistem informasi absensi menggunakan card dalam berbagai jenis presensi kehadiran di Kampus UINSU. Penggunaan sistem absensi sebelumnya hanya menggunakan sistem manual yang mana sistem manual itu sering menjadi hambatan dalam peroses absensi Mahasiswa maupun Dosen. Sistem informasi absensi yang akan dirancang yaitu dengan menggunakan teknologi Radio Frequency Identification (RFID). Teknologi RFID merupakan salah satu metode yang cukup banyak digunakan dalam pembuatan sistem informasi absensi. RFID dapat mengeleminasikan proses perhitungan manual dari data absensi. Perancangan sistem informasi absensi ini nantinya akan dirancang menggunakan prototype. Sistem absensi menggunakan RFID nantinya akan menjadi sitem presensi Online, yang mana menjadi solusi dalam mengatasi hambatan dari sistem absensi manual. Dengan adanya sistem absensi Online ini Mahasiswa hanya tinggal melakukan scan saja tidak lagi menggunakan kertas dan pulpen. Dengan adanya sistem ini dapat mempersingkat proses absensi yang mana nantinya tidak akan mengurangi waktu perkuliahan
Selection of Marketing Staff Using Simple Additive Weight and VIKOR Algorithm Muhammad Ali; Nurhayati; Ayu Azzahra Batubara
Journal of Computers and Digital Business Vol. 3 No. 3 (2024)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v3i3.600

Abstract

In today’s rapidly evolving technological landscape, decision-making processes within organizations are increasingly relying on advanced computational methods to enhance efficiency and accuracy. This is particularly relevant in human resource management, where selecting suitable candidates for key positions is critical. Traditional methods of staff recruitment often rely on subjective assessments, which may lead to biases and inconsistencies. To address these challenges, this study proposes the use of the Simple Additive Weighting (SAW) and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) algorithms as multi-criteria decision-making tools for selecting marketing staff. The SAW method offers a straightforward approach by assigning weighted scores to various criteria. In contrast, the VIKOR method provides a ranking system that considers ideal and compromise solutions for candidate selection. Integrating these two algorithms makes the selection process more objective and data-driven, reducing the risk of human error and improving overall decision quality. This paper outlines implementing the combined SAW-VIKOR model in the marketing staff recruitment process, highlighting its potential to optimize candidate evaluation and selection. The results demonstrate that utilizing these algorithms enhances the decision-making process, leading to better alignment of selected staff with organizational goals. This approach is valuable for organizations looking to leverage technology in their recruitment strategies.
Co-Authors Bagus Sopian Wanandi Cahaya Muzaddidah Kiki Andrea Muhammad Abdurrahman Hafizh Muhammad Ali Nurhayati Wardana, Aji