การออกแบบและพัฒนาสถาปัตยกรรมจีโอเฟนซิงแบบโลว์โค้ดสำหรับการบริหารจัดการการลงเวลาปฏิบัติงานเชิงพื้นที่ในองค์กรปกครองส่วนท้องถิ่น

Suraphon Chumklin; Krit Chaiwannakoop; Manit Puangbangpo

doi:10.65205/jcct.2026.e3674

Authors

Suraphon Chumklin Computer Science Program, Faculty of Science and Technology, Uttaradit Rajabhat University, Uttaradit 53000, Thailand https://orcid.org/0009-0002-8385-7909
Krit Chaiwannakoop Computer Science Program, Faculty of Science and Technology, Uttaradit Rajabhat University, Uttaradit 53000, Thailand https://orcid.org/0009-0005-2259-0034
Manit Puangbangpo Information Technology Program, Faculty of Science and Technology, Uttaradit Rajabhat University, Uttaradit 53000, Thailand https://orcid.org/0009-0008-5325-6233

DOI:

https://doi.org/10.65205/jcct.2026.e3674

Keywords:

Geofencing, Low-Code Architecture, Workforce Mobility, Location-Based Services, Digital Transformation

Abstract

As public organizations undergo digital transformation, efficient workforce mobility management is imperative. This study addresses a critical gap in the integration of spatial tracking capabilities within low-code platforms by designing and implementing a low-code geofencing architecture at Thasao Subdistrict Municipality, Thailand. The proposed three-tier architecture facilitates real-time data processing using Google AppSheet and Google Sheets. The system's business logic implements the Haversine formula for geodesic distance calculation and incorporates error-handling mechanisms to mitigate intermittent GPS signal instability. Performance evaluation via black-box testing demonstrated a 100% success rate across predefined functional test cases under controlled conditions, rather than absolute system accuracy. Field observations further revealed that real-world performance may vary depending on network latency and GPS signal quality. Empirical data collected through purposive sampling from 20 off-site personnel indicated a high level of satisfaction (Mean = 4.39, S.D. = 0.57), with the evaluation instrument reaching high reliability (Cronbach's Alpha = 0.85). This research contributes a scalable and resource-efficient architectural framework that reduces administrative workload and supports practical digital transformation in local government contexts, while also highlighting implementation constraints relevant to real-world deployment.

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