Enhancing Mobile Risk Area Notifications via Social Media Data: A Case Study of Three Southern Border Provinces in Thailand

Suwimol Jungjit, Phaklen Ehkan, Amonrat Prasitsupparote

Abstract


This paper introduces a mobile-based risk area notification system for the three provinces in the southern border region of Thailand utilizing the collected social-media dataset. The application serves as a platform for providing information on incidents occurring in the southern border provinces, allowing users to safely travel and carry out daily activities in these high-risk areas. The objectives of this paper are twofold: (1) to develop a risk area notification system on mobile for the three provinces in the southern border region, using a rule-based algorithm. The system will notify users of risk area information based on data collected from various sources, including databases and online social platforms and (2) develop a social media data collection approach for a mobile-based risk area notification system. The structure of the risk area notification system on mobile includes three main menus: (1) Login, (2) Register, and (3) Information. After logging in, users can choose from two working modes: (1) basic mode, where the system retrieves risk area data based on incident data in a database, and (2) AI mode, where the system retrieves data both from the database and a collected social-media dataset. Google API is used to detect the user's location through mobile devices and create a customizable route including the incident information for users. After completing the program development phase, an evaluation phase was conducted through questionnaires from experts and general users, resulting in an average score and standard deviation of 4.31 (SD=0.59) and 4.36 (SD=0.58), respectively. From the evaluation results, it can be concluded that the mobile-based risk area notification system for the three provinces in the southern border region, demonstrates good efficiency.

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References


Insurgency in the Southern Border Provinces of Thailand. Retrieved November 29, 2019, from https://en.wikipedia.org

P. Kai-nunna, “The State of the Art: Research on Journalism in the Southernmost Thailand Conflict.” Journal of Management Science Chiangrai Rajabhat University, 2019, vol. 14(2), pp. 64–86, from https://so03.tci-thaijo.org/index.php/jmscrru/article/view/128179

N. Tungsangprateep, M. Chummuangpak and W. Jongwilaikasaem., “The Dynamic of Alternative Media in the Digital Age and Peace Journalism in the Southernmost Provinces of Thailand.” Journal of Journalism, 2020, vol. 13(3), pp.128-159, from https://so06.tci-thaijo.org/index.php/jcmag/article/view/244528

A. Smirnov , A. Kashevnik, N. Shilov, N. Teslya and A. Shabaev., “Mobile application for guiding tourist activities: tourist assistant-tais.” In Proceedings of 16th Conference of Open Innovations Association FRUCT, 2014, pp. 95-100.

A.Jeh-sa., “The Role of the Personnel Development Office in Problem Solving in the Southern Border Provinces”, Master's Thesis. Songkhla: Prince of Songkla University.

A. Mayao-ga-se., "Impacts of the Insurgency in the Three Southern Border Provinces." Ratchaphak Journal, 2016, pp. 405-417.

F. Yuroh and S. Chongthong., “Application of Geographic Information Systems to Assess Areas at Risk of Landslides in the Luang National Park Area, Nakhon Si Thammarat Province.” Master's Thesis. Surat Thani: Prince of Songkla University, 2016.

C. Chalermsook, A. Kumpliw and M. Chalopyin., “Development of Disaster Alert Application for Thai Society.”, Master's Thesis. Bangkok: Asia University, 2018.

C. Thepprasit, “Flash Flood Monitoring and Warning System.” Master's Thesis. Bangkok: Kasetsart University, 2006.

C. Keeratvibulvech, “Flood Warning Using Artificial Intelligence and Social Media”. Knowledge Repository, National Institute of Development Administration. Retrieved January 23, 2020, from https://repository.nida.ac.th/handle/662723737/4415?locale-attribute=en


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