GPS-Based Digital Business Technology Innovation in Community Health Centers: Application Development for Health Staff Performance Management
Keywords:
mobile attendance application, geolocation technology, , GPS-based attendance systemAbstract
Attendance management in community health centers (Puskesmas) often relies on manual procedures that are prone to inaccuracy, limited traceability, and weak verification mechanisms, particularly for staff performing field-based duties. These limitations hinder the effectiveness of performance monitoring and reduce administrative efficiency. This study aims to develop a GPS-based digital attendance system designed to enhance accuracy, accountability, and transparency in monitoring employee presence at Puskesmas Mantup. The research methodology comprises four stages: Observation to identify operational constraints; Planning and Analysis to formulate functional and non-functional requirements; System Design to model data structures, user interfaces, and workflow diagrams; and Implementation to develop the application using web technologies integrated with geolocation services. System functionality was validated through Blackbox Testing to ensure reliability across key processes, including login authentication, location validation, shift scheduling, and automated recording of attendance events. The results indicate that the system successfully performs real-time GPS verification, prevents false check-ins outside the designated radius, and supports both shift and non-shift attendance schemes. Additionally, the dashboard and reporting features provide comprehensive visibility for administrators in evaluating employee performance. Overall, the GPS-based attendance system substantially improves monitoring accuracy and operational efficiency, offering a scalable solution for adoption in primary healthcare settings.
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[1] D. A. Jerab, “The Impact of Digital Transformation on Public Services,” no. September, 2024.
[2] J. T. Polzer, “The rise of people analytics and the future of organizational research,” Res. Organ. Behav., vol. 42, no. 2022, p. 100181, 2023.
[3] R. Tweheyo, F. Ssengooba, and G. W. Pariyo, “Regulatory mechanisms for absenteeism in the health sector : a systematic review of strategies and their implementation,” pp. 81–94, 2016.
[4] Geolocator, A. A. Simatupang, and A. Maulana, “Design of a Mobile-Based Attendance System Integrated with,” vol. 1, no. 1, pp. 33–45, 2025.
[5] D. R. Munandar, “Integration of Technology and Governance in Indonesian Schools : Toward a Smart School Ecosystem,” vol. 17, pp. 2147–2158, 2025.
[6] E. Udekwe and C. G. Iwu, “Human Resource Information Systems as Strategic Tool for the Sustainability of the Public Health Sector,” no. May, 2025.
[7] J. David, W. Panjaitan, A. Muhammad, and A. Suprianto, “Journal of Computer Networks , Architecture and High Performance Computing Web-Based Attendance Information System At Diskominfosantik Bekasi District With Prototype Method Journal of Computer Networks , Architecture and High Performance Computing,” vol. 7, no. 3, pp. 1021–1031, 2025.
[8] H. Alhilali, N. S. Ali, M. F. Kadhim, and B. Al-sadawi, “Multi-objective attendance and management information system using computer application in industry strip,” no. July, pp. 371–381, 2019.
[9] S. Islam, “INFORMATION SYSTEMS IN HEALTH MANAGEMENT : INNOVATIONS AND INFORMATION SYSTEMS IN HEALTH MANAGEMENT :,” no. May, 2024.
[10] J. Ukko, M. Saunila, and S. Sepp, “Understanding determinants of digital transformation and digitizing management functions in incumbent SMEs,” vol. 5, no. January, 2025.
[11] R. Wulandari, “Development of Application Employee Absence Based on Mobile Web,” vol. 2, no. 2, pp. 59–68, 2023.
[12] L. D. Fitrani, A. C. Puspitaningrum, U. Hayam, W. Perbanas, J. Timur, and S. I. Akademik, “Utilization of Unified Modeling Language ( UML ) in the Design of Academic Information Systems based on the OOAD Method,” vol. 12, pp. 614–625, 2023.
[13] D. Agushinta, Hustinawaty, I. Jatnika, and H. Medyawati, “Boundary Value Analysis Testing on Augmented Reality of Indonesian Fruit Recognition at Mekarsari Tourist Park using Cloud Method on Android Mobile Devices Boundary Value Analysis Testing on Augmented Reality of Indonesian Fruit Recognition at Mekarsari T,” J. Phys., 2019.
[14] Dongmo, “A Review of Non-Functional Requirements Analysis Throughout the SDLC,” 2024.
[15] Guerra-manzanares and M. Välbe, “Machine Learning with Applications Cross-device behavioral consistency : Benchmarking and implications for effective android malware detection,” Mach. Learn. with Appl., vol. 9, no. June, p. 100357, 2022.
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