Claim Missing Document
Check
Articles

Found 2 Documents
Search

Implementasi Algoritma First In First Out (FIFO) Berbasis Web untuk Perhitungan dan Simulasi Berbagai Kasus Antrean Akbar Alif Haikal; Zulfahmi Indra; Azril Arfansyah; Ammar Kamil Al Abror; Aldrik Bastio
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 5 No. 1 (2026): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v5i1.5615

Abstract

Algoritma First In First Out (FIFO) merupakan metode penjadwalan sederhana yang secara luas digunakan dalam berbagai sistem antrean. Prinsip utama algoritma ini adalah entitas yang datang terlebih dahulu akan dilayani terlebih dahulu tanpa mempertimbangkan prioritas tertentu. Penelitian ini bertujuan untuk mengimplementasikan algoritma FIFO dalam bentuk aplikasi berbasis web menggunakan bahasa pemrograman HTML, CSS, dan JavaScript. Aplikasi ini dirancang untuk menghitung dan mensimulasikan sistem antrean berdasarkan parameter arrival time dan burst time, serta menghasilkan keluaran berupa start time, waitingtime, dan turn around time secara otomatis. Metode penelitian meliputi tahap perancangan algoritma, pengembangan antarmuka web, serta pengujian melalui berbagai skenario antrean sederhana. Hasil implementasi awal menunjukkan bahwa sistem mampu menampilkan hasil perhitungan secara akurat sesuai teori dasar FIFO. Aplikasi ini dapat digunakan sebagai media pembelajaran interaktif yang membantu pengguna memahami konsep sistem antrean dan penerapan algoritma penjadwalan proses secara praktis.
Pengembangan Sistem Informasi Donor Darah Terintegrasi untuk Monitoring Stok Darah pada Rumah Sakit Ammar Kamil Al Abror; Yunanda Rizki Sitompul; Calvin Sahputra Buulolo; Debi Yandra Niska
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.4068

Abstract

The absence of integrated blood stock management in hospitals, relying on current manual procedures, frequently results in delayed services and challenges in fulfilling blood requirements under emergencies. This research seeks to design and build a web-based blood stock monitoring platform called HemoBridge, offering real-time data accessible by the public, healthcare facilities, and the Ministry of Health. The System Development Life Cycle (SDLC) framework with the well-known Waterfall approach was adopted, encompassing needs analysis, system architecture, development, verification, deployment, and upkeep. This study used a qualitative methodology through field observation and literature review. The platform was developed using PHP and the Laravel framework, with HTML, CSS, JavaScript, and MySQL as supporting technologies. Findings indicate HemoBridge was successfully deployed with core features comprising a comprehensive landing page, donor education, role-based access control, an integrated hospital management panel, a Ministry of Health dashboard, and an advanced blood stock search module with referral capability. Validation through Black Box Testing across six primary functions confirmed all features performed as intended. The platform demonstrates the capacity to enhance data management efficiency, accelerate information retrieval, and strengthen evidence-based decision-making in healthcare. Prospective enhancements include automated stock alerts, data encryption, and wider interoperability with health institutions throughout Indonesia.