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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.
Implementation of a Rule-Based Expert System in the Web-Based SMK Boarding and Semi Boarding Admission System by the Central Java Government Fajar, Muhammad Syaeful; Atmaja, Ardian Prima; Hafidhoh, Nisa'ul; Ismar, MH. Ramdhani; Ivansyah, Maulana Nur
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 6 No. 1 (2026): March 2026
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v6i1.162

Abstract

The student admission process for boarding and semi-boarding vocational schools involves complex administrative, academic, and socio-economic criteria, which often lead to inefficiencies and inconsistencies when handled manually. This study proposes a web-based student admission system integrating a rule-based expert system to automate multi-stage selection processes in vocational high schools managed by the Central Java Provincial Government. The system was developed using a Research and Development approach with the Agile Scrum methodology. Knowledge representation is implemented through IF–THEN rules derived from officially verified admission guidelines, enabling automated scoring, ranking, and admission decisions. The proposed system was applied across three boarding schools and fifteen semi-boarding schools during the 2024 admission period. The results indicate that the system reduces processing time, improves scoring consistency, and enhances transparency and accountability in decision-making. This study demonstrates that integrating a rule-based expert system with official admission regulations provides an effective and scalable solution for large-scale student selection processes.