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All Journal Andalasian International Journal of Applied Science, Engineering, and Technology
Ivansyah, Maulana Nur
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Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering

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Optimizing Asset Management: A Risk-Based Approach with Inventory Outsourcing and Asset Management Information System Fajar, Muhammad Syaeful; Syaifuddiin, Gus Nanang; Hafidhoh, Nisa'ul; Ismar, MH. Ramdhani; Ivansyah, Maulana Nur
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 3 No. 3 (2023): November 2023
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v3i3.99

Abstract

Effective management of regional assets is crucial for efficient government administration and community service delivery. Proper asset management ensures transparency, efficiency, and accountability in regional property management, supporting key tasks and functions of the government. Efficient asset management empowers local governments to fund regional development and enhances public confidence in state finance management. The rapid development of information technology presents unique challenges, especially in asset management within educational institutions. This study focuses on implementing the Risk-Based Asset Management (RBAM) method in a Web-Based Asset Management Information System. RBAM categorizes requests by risk levels, generates monthly data analysis, and aids in anticipating item stock quantities. The integrated RBAM is expected to enhance inventory management efficiency, improving responsiveness to demand fluctuations. This journal presents research findings related to RBAM implementation, aiming to enhance asset management performance in the government context. The study employs the Research and Development method, fitting for software engineering research. The development utilizes the waterfall model, ensuring a structured software development process. The system streamlines item data management, reporting requests, enhancing facility inventory management.
Optimizing Asset Management: A Risk-Based Approach with Inventory Outsourcing and Asset Management Information System Fajar, Muhammad Syaeful; Syaifuddiin, Gus Nanang; Hafidhoh, Nisa'ul; Ismar, MH. Ramdhani; Ivansyah, Maulana Nur
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 3 No. 3 (2023): November 2023
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v3i3.99

Abstract

Effective management of regional assets is crucial for efficient government administration and community service delivery. Proper asset management ensures transparency, efficiency, and accountability in regional property management, supporting key tasks and functions of the government. Efficient asset management empowers local governments to fund regional development and enhances public confidence in state finance management. The rapid development of information technology presents unique challenges, especially in asset management within educational institutions. This study focuses on implementing the Risk-Based Asset Management (RBAM) method in a Web-Based Asset Management Information System. RBAM categorizes requests by risk levels, generates monthly data analysis, and aids in anticipating item stock quantities. The integrated RBAM is expected to enhance inventory management efficiency, improving responsiveness to demand fluctuations. This journal presents research findings related to RBAM implementation, aiming to enhance asset management performance in the government context. The study employs the Research and Development method, fitting for software engineering research. The development utilizes the waterfall model, ensuring a structured software development process. The system streamlines item data management, reporting requests, enhancing facility inventory management.
Co-Authors Fajar, Muhammad Syaeful Gus Nanang Syaifuddiin Hafidhoh, Nisa'ul Ismar, MH. Ramdhani