Progressive Web Application Geographic Information System for Offline Spatial Data Collection: A Case Study of Robusta Coffee Disease and Pest Survey

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Published: Feb 17, 2026
DOI: https://doi.org/10.14456/kkuscij.2026.17
Keywords:
Geographic Information System Progressive Web Application Offline System IndexedDB

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Norathep Sakphet
Major of Computer Education, College of Innovation and Management, Songkhla Rajabhat University, Thailand
Chatirot Jitrugtham
Major of Agriculture, Faculty of Agricultural Technology, Songkhla Rajabhat University, Thailand
Wanida Petlamul
Major of Agriculture, Faculty of Agricultural Technology, Songkhla Rajabhat University, Thailand
Vilerswat Noosaeng
The Joint Graduate School of Energy and Environment, King Mongkut’s University of Technology Thonburi, Thailand
Pikul Somjit
Major of Computer Education, Faculty of Science and Technology, Songkhla Rajabhat University, Thailand
Sanit Haruehansawasin
Information Technology Division, Chitralada Technology Institute, Thailand

Abstract

The purpose of this research is to develop a Geographic Information System (GIS) based on a Progressive Web Application (PWA) for offline spatial data collection. It aims to solve the problem of field data collection in remote areas with limited internet signals. This study uses a case study of Robusta coffee disease and pest surveys conducted in Khlong Hoi Khong District, Songkhla Province. The system is developed with PWA technology, which uses IndexedDB for offline data storage and supports automatic data syncing when there is an Internet connection. This research also presents an innovative display of location accuracy in a percentage format to make it easier for users to understand. Field performance tests indicate that the system is 100% effective in tracking location and data recording even without Internet, and 95% of maps can be displayed (subject to pre-caching of maps). The system can reduce survey time by 43.4%, increase data accuracy by 7.8%, increase data completeness by 13.2%, and save battery power. In addition, the satisfaction ratings from 30 users average "Extreme" (4.47 out of 5). The developed system has the potential to be applied to other spatial data collection activities, such as natural resource surveys, agricultural area management, or disaster data collection in remote areas, especially in the context of digital infrastructure constraints

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How to Cite
Sakphet, N., Jitrugtham, C., Petlamul, W. ., Noosaeng, V., Somjit, P., & Haruehansawasin, S. (2026). Progressive Web Application Geographic Information System for Offline Spatial Data Collection: A Case Study of Robusta Coffee Disease and Pest Survey. KKU Science Journal, 54(1), 232–251. https://doi.org/10.14456/kkuscij.2026.17
Issue
Vol. 54 No. 1 (2026): (in progress): January - April 2026
Section
Research Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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