An Android-Based Real-Time Asset Maintenance Complaint Management System for Polytechnic Facilities
DOI:
https://doi.org/10.67922/juvotek.v4i01.01Keywords:
asset maintenance, complaint management, Android application, mobile information system, system usability, polytechnic facilitiesAbstract
Effective asset maintenance in higher-education institutions requires timely reporting, monitoring, and documentation of facility-related problems. Conventional complaint procedures may limit information traceability and coordination among users, administrators, and institutional decision-makers. This study aimed to develop and empirically evaluate an Android-based asset-maintenance complaint management system for polytechnic facilities. A design and development research approach was implemented using the Waterfall model, comprising requirements analysis, system design, implementation, and functional testing. The application was developed using Kotlin and Android Studio with Firebase Realtime Database for data management. Three operational roles were supported: End User, Administrator, and Managerial User. Functional suitability was evaluated through black-box testing of eight principal functional modules. Perceived usability was assessed using the System Usability Scale (SUS) among 30 participants comprising 22 End Users, 5 Administrators, and 3 Managerial Users. Descriptive statistics included mean, standard deviation, median, range, and 95% confidence interval. All eight functional modules passed the predefined test criteria, yielding a functional pass rate of 100% (8/8). The overall SUS score was 79.42 (SD = 4.14), with a median of 80.00, a range of 67.50–85.00, and a 95% confidence interval of 77.94–80.90. Mean SUS scores were 78.86 for End Users, 80.00 for Administrators, and 82.50 for Managerial Users. The developed application demonstrated functional feasibility and favorable perceived usability for asset-maintenance complaint management in a polytechnic environment. The system provides a structured mobile-based foundation for information traceability and future data-driven maintenance management.
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