The Role of Queue Algorithms in Optimizing E-Government Scheduling Systems: Evidence from the JAPIN Case
Keywords:
JAPIN Application; Queue Algorithm; E-Government; Scheduling Efficiency; Public Administration; Digital Transformation; Fifo Principle.Abstract
This study examines the effectiveness of the JAPIN (Jadwal Pimpinan) application, a queue algorithm-based scheduling system designed for the Leadership Administration Bureau of the Regional Secretariat of North Sumatra Province. The objective is to analyze how algorithmic scheduling enhances operational efficiency, accuracy, and coordination in leadership activities. Employing a mixed-method approach, the research integrates descriptive statistical analysis using SPSS with qualitative interviews and observations. Quantitative results indicate high user satisfaction, with a mean score of 21.40 and a standard deviation of 2.011, reflecting consistent positive perceptions of usability, accessibility, and efficiency. Qualitative findings reveal that JAPIN reduces manual workload, prevents scheduling conflicts, and increases transparency in administrative workflows. The queue algorithm’s FIFO and dynamic priority mechanisms ensure fairness and responsiveness in managing the Governor’s agenda. Despite minor challenges such as user adaptation and limited technical resources, JAPIN demonstrates strong potential as a scalable model for digital government transformation. The study provides empirical evidence supporting the use of algorithmic systems to improve scheduling performance and contribute to efficient, transparent e-government practices.
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