Brilliance: Research of Artificial Intelligence
Vol. 6 No. 4 (2026): Brilliance: Research of Artificial Intelligence, Article Research November 2026

Crowdsourced Facility Issues Reporting System: A Case Study in Higher Education Institution

Athiyatul Ulya (Universitas Malikussaleh, Indonesia)
Annisa Karima (Universitas Malikussaleh, Indonesia)
Liza Afra (Universitas Malikussaleh, Indonesia)
Annisya Febriana Lubis (Universitas Malikussaleh, Indonesia)
M. Arsaly Athaaf Neutron (Universitas Malikussaleh, Indonesia)



Article Info

Publish Date
01 Nov 2026

Abstract

Higher education institutions (HEIs) face persistent inefficiencies in facility management due to reliance on manual, paper-based reporting mechanisms, resulting in communication bottlenecks, delayed maintenance, and a lack of traceability. Although crowdsourcing has proven effective in urban civic management, its application within the micro-environment of a university campus remains underexplored. This study aims to design, develop, and evaluate a web-based Crowdsourced Facility Issues Reporting System tailored for HEIs, utilizing a case study at the Faculty of Engineering, Malikussaleh University. Employing a Research and Development (R&D) approach, the system was developed iteratively using the Prototyping method, with requirements derived from interviews and observations analyzed via thematic analysis. The system was implemented using PHP and MySQL, featuring a three-tier role-based access control architecture (Reporter, Faculty Admin, and Bureau Admin). Functional evaluation through Black Box Testing confirmed that all system modules operated according to specifications. A key finding from the implementation is the efficacy of a "Tiered Triage" workflow model, where the Faculty Admin acts as an intermediary verification node. This hierarchical filtration successfully filters invalid or hyper-local issues before they reach the central bureau, preventing administrative overload. Ultimately, the system transforms passive facility users into active stakeholders by providing real-time status tracking, thereby restoring transparency, reducing manual data entry errors, and offering a scalable digital model for facility management in complex institutional bureaucracies.

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Journal Info

Abbrev

brilliance

Publisher

Subject

Decision Sciences, Operations Research & Management Mathematics Other

Description

Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest ...