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All Journal Jurnal Sistem Informasi dan Teknik Informasi Jurnal Ilmu Komputer dan Informatika Journal of Engineering, Electrical and Informatics
Deval Gusrion
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mathematics Medicine & Pharmacology Other

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Geographic Information System (GIS) for Optimizing Hospital Distribution and Accessibility in Padang City, Indonesia Andri Candra; Deval gusrion
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 1 No. 3 (2025): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to map the locations of hospitals in Padang City using Geographic Information Systems (GIS) to improve accessibility and efficiency in the distribution of healthcare services. The mapping also aims to provide a clearer overview of the hospital distribution across the city, assisting the government in planning more equitable healthcare facilities. Data used in this study was obtained from available hospital databases and geographic coordinates recorded using a web-based GIS system. The mapping results show a concentration of hospitals in the city center, while the outskirts of Padang City still lack healthcare facilities. This mapping allows the public to easily access information on nearby hospital locations, while enabling the government to plan the construction of new hospitals in more strategic areas. This study also recommends integrating this GIS mapping with other health information systems to enhance decision-making in the healthcare sector.
Pengolahan Data Dengan Metode Rapid Application Development Pada Posyandu Pada Puskesmas Tanjung Ampalu Kabupaten Sijunjung Deri Putra; afdhal, Muhammad Afdhal; Deval Gusrion
Jurnal SANTI - Sistem Informasi dan Teknik Informasi Vol. 4 No. 3 (2024)
Publisher : Yayasan Rahmatan Fiddunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/santi.v4i3.960

Abstract

Puskesmas Tanjung Ampalu merupakan salah satu instansi yang bergerak dalam bidang pelayanan kesehatan yang terletak di Kecamatan Koto VII, Kabupaten Sijunjung. Di dalam melakukan pelayanannya Puskesmas Tanjung Ampalu masih sangat bergantung dengan proses yang dikerjakan secara konvensional seperti pada pendaftaran pasien. Pasien yang sudah registrasi, kemudian menunggu antrian ke dokter yang dipilih. Selama menunggu antrian sering terjadi kesalahan (human error), yaitu pasien tidak mengetahui posisi urutan antrian yang menyebabkan pasien tidak bisa memperkirakan waktu tunggu dan saat pemanggilan nomor antrian oleh perawat tidak didengar pasien maka antrian akan dilewati atau dianggap pasien tidak ada.Tujuan dari penelitian ini adalah membuat system informasi layanan posyandu berbasis website menggunakan metode Rapid Application Development untuk meningkatkan layanan dalam pengolahan data posyandu, dengan menggunakan metode RAD, sistem fungsional yang di lengkap akan mudah di capai dalam waktu yang relatif singkat. Dengan itu timbul pemikiran untuk bagaimanan mengolah data Dalam Pengolahan Data Posyandu Pada Puskesmas Tanjung Ampalu Kabupaten Sijunjung.  
Exploring the Synergy Between Artificial Intelligence and Blockchain in Enhancing Cybersecurity Solutions Deval Gusrion; Fitri Firdalius; Elmi Rahmawati
Journal of Engineering, Electrical and Informatics Vol. 5 No. 3 (2025): October: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v5i3.5567

Abstract

This research investigates the integration of Artificial Intelligence (AI) and blockchain technologies to develop a more robust and adaptive cybersecurity framework. Amid the growing complexity and frequency of cyber threats, traditional security systems are increasingly insufficient in ensuring data integrity, threat detection, and operational transparency. The study aims to explore how the synergy between AI and blockchain can address these limitations and enhance digital security infrastructures. A qualitative exploratory approach was employed, utilizing a Systematic Literature Review (SLR) of 42 peer-reviewed articles published between 2020 and 2025. The analysis revealed three dominant integration models: AI-based anomaly detection with blockchain-secured logging, smart contracts for automated incident response, and blockchain-based identity verification enhanced by AI behavioral analysis. The proposed framework demonstrated a high detection rate (94.3%), low response latency (0.7 seconds), and improved auditability compared to state-of-the-art approaches. These findings suggest that combining AI's predictive capabilities with blockchain’s immutable and decentralized architecture offers a more comprehensive cybersecurity solution. However, challenges such as computational overhead, energy consumption, and interoperability issues remain. The study concludes that the integrated approach not only enhances resilience and transparency but also provides a scalable foundation for future cybersecurity systems, especially in critical sectors such as healthcare, finance, and government services.
Co-Authors afdhal, Muhammad Afdhal Andri Candra Deri Putra Elmi Rahmawati Erdisna Fitri Firdalius Rahmat Hidayat Sri Restu Ningsih Weni Kurnia Sari