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All Journal JUSIFOR : Jurnal Sistem Informasi dan Informatika Riset : Jurnal Ilmiah Multidisiplin Ilmu
Muhammad Irwan Padli Nasution
Universitas Islam Negeri Sumatera Utara, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science

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Pemanfaatan Sistem Informasi Manajemen Untuk Pengelolaan Data Pasien Di Rumah Sakit Fathir Ferdiansyah Sitepu; Muhammad Irwan Padli Nasution
Riset : Jurnal Ilmiah Multidisiplin Ilmu Volume 1, Nomor 1 Desember 2025
Publisher : PT. AHLAL PUBLISHER NUSANTARA

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Abstract

The utilization of management information systems (MIS) in hospital patient data management has become an essential need in the digital era. Effective and efficient data management can improve healthcare service quality and support faster and more accurate decision-making. This study aims to understand how the implementation of hospital management information systems (HMIS) can assist in managing patient data systematically and integratively. The research uses a qualitative descriptive method based on literature reviews and limited interviews with healthcare workers and administrative staff. The findings indicate that the implementation of HMIS positively impacts work efficiency, reduces administrative errors, and enhances patient satisfaction. However, challenges remain in training human resources and improving technological infrastructure. Keywords: Management Information System, Hospital, Patient Data, Efficiency, Digitalization Abstrak Pemanfaatan sistem informasi manajemen (SIM) dalam pengelolaan data pasien di rumah sakit telah menjadi kebutuhan mendesak di era digital. Pengelolaan data yang efektif dan efisien dapat meningkatkan kualitas pelayanan kesehatan serta mendukung pengambilan keputusan yang cepat dan akurat. Penelitian ini bertujuan untuk memahami bagaimana penerapan sistem informasi manajemen rumah sakit (SIMRS) dapat membantu pengelolaan data pasien secara lebih sistematis dan terintegrasi. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan pendekatan studi literatur serta wawancara terbatas pada tenaga kesehatan dan petugas administrasi rumah sakit. Hasil penelitian menunjukkan bahwa penerapan SIMRS memberikan dampak positif terhadap peningkatan efisiensi kerja, pengurangan kesalahan administrasi, serta peningkatan kepuasan pasien. Namun demikian, tantangan masih ditemukan dalam hal pelatihan sumber daya manusia dan keterbatasan infrastruktur teknologi. Kata kunci: Sistem Informasi Manajemen, Rumah Sakit, Data Pasien, Efisiensi, Digitalisasi.
Perancangan Sistem Perencanaan Konten Media Sosial Berbasis Web Terintegrasi Artificial Intelligence (AI) Bagi UMKM Menggunakan Framework Next.js dengan Model Prototype Nasrullah Gunawan; Muhammad Irwan Padli Nasution
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i2.8343

Abstract

Digital marketing through social media is crucial for the sustainability of MSMEs, yet many business owners face challenges such as inconsistent schedules, difficulty finding content ideas, and limited time for drafting captions. The purpose of this study is to create a web-based social media content planning system utilizing AI to help MSMEs manage their marketing better. The system development method used is the Software Development Life Cycle (SDLC) with the Prototype model, comprising requirement gathering, quick design, prototype building, and user evaluation phases. The system utilizes the Next.js framework, TailwindCSS, and Supabase, along with the IBM Granite Instruct AI model for automated caption features. The results produced a system design featuring an interactive content calendar, publication status management, and an AI assistant. Evaluations indicate the system is proven effective in organizing content planning. Development of automated publishing features, multi-user collaboration support, and deeper content performance analytics are recommended for future research stages.
Co-Authors Fathir Ferdiansyah Sitepu Nasrullah Gunawan