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All Journal Journal of Artificial Intelligence and Digital Business DIGITAL BUSINESS INSIGHTS JOURNAL
Ramly Muha Zendra
Universitas Islam Indragiri
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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SISTEM INFORMASI MANAJEMEN STOK DARAH PADA PALANG MERAH INDONESIA KABUPATEN INDRAGIRI HILIR Ramly Muha Zendra; Muhammad Aidil; Helly Khairuddin
Digital Business Insights Journal Vol 1 No 2 (2025): DIGITAL BUSINESS INSIGHTS JOURNAL
Publisher : Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/bidi.v1i2.4453

Abstract

Palang Merah Indonesia (PMI) of Indragiri Hilir Regency faces challenges in managing blood stock demand that is often not met due to limited information and manual processes. This study aims to design and develop a web-based information system that can facilitate blood demand management at the Blood Transfusion Unit (UTD) of PMI Indragiri Hilir Regency. This system is designed to replace the blood stock management process that was previously carried out manually through physical letters, into a digital system that is able to accelerate the delivery of information related to blood availability. The system also provides an executive dashboard for monitoring blood stock availability. The system design uses the Unified Modeling Language (UML) and functionality testing is carried out using the Black Box method. The test results show that the system can manage blood stock management well and provide accurate reports.
Pengembangan Aplikasi Donor dan Stok Darah pada PMI Kabupaten Indragiri Hilir Ramly Muha Zendra; Abdullah Abdullah; Fitri Yunita
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.11921

Abstract

Pelayanan donor dan pengelolaan stok darah pada Palang Merah Indonesia (PMI) Kabupaten Indragiri Hilir masih dilakukan secara manual menggunakan buku dan formulir, sehingga pembaruan data stok darah berjalan lambat, informasi ketersediaan darah tidak dapat diakses publik, dan pencatatan transaksi darah masuk maupun keluar rawan hilang. Penelitian ini bertujuan mengembangkan sistem informasi donor dan stok darah berbasis website yang mampu menyajikan data secara real-time bagi petugas maupun masyarakat. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan Waterfall, meliputi identifikasi masalah, pengumpulan data melalui observasi dan wawancara, analisis kebutuhan menggunakan kerangka PIECES, perancangan sistem dengan Unified Modeling Language (UML), implementasi menggunakan Node.js, Express.js, dan MongoDB Atlas, serta pengujian dengan metode Black Box Testing. Hasil penelitian menunjukkan bahwa sistem berhasil dibangun dengan empat peran admin, yaitu Super Admin, Petugas Lab, Petugas Aftap, dan Humas, serta halaman publik yang menampilkan stok darah, jadwal donor, dan berita PMI tanpa memerlukan login. Pengujian Black Box terhadap 28 skenario fungsional menunjukkan seluruh fitur berjalan sesuai rancangan. Sistem ini terbukti mampu mempercepat pendataan donor, meningkatkan akurasi data stok darah, dan mempermudah masyarakat memperoleh informasi ketersediaan darah secara transparan.
Co-Authors Abdullah Abdullah Fitri Yunita Helly Khairuddin Muhammad Aidil