Developing System of Students' Home-Visiting by Route Analysis Technique and Cloud Maps

Authors

  • Nopporn Krairak Student, Computer Education Division, Faculty of Education, Nakhon Sawan Rajabhat University, Nakhon Sawan 60130, Thailand
  • Wudhijaya Philuek Assistant Professor, Dr., Computer Education Division, Faculty of Education, Nakhon Sawan Rajabhat University, Nakhon Sawan 60130, Thailand

DOI:

https://doi.org/10.14456/jcct.2024.15

Keywords:

Web Application, Cloud Map, Students’ Home-Visiting, Route Analysis Techniques

Abstract

This study aims to develop a web application for students' home-visiting by route analysis technique and cloud maps in the data of primary education students of the schools in Nakhon Sawan Province. Consideration of key data characteristics, such as learning interest, academic performances, and genders, from data testing with Decision Tree and Neural Network. The results found that 1) the web application is operated by analyzing to design a use case diagram, the first records basic students' data, the second analyzes the recorded data using a Decision Tree, and a Neural Network to analyze the data and predict which student's home the teacher should visit in the data set and summary of students’ home- visiting results,  the third data export to pdf format, 2) digital platform design, 3) development, and installation, 4) testing, 5) actual installation, 6) maintenance.

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Published

10/16/2024

How to Cite

Krairak, N., & Philuek, W. (2024). Developing System of Students’ Home-Visiting by Route Analysis Technique and Cloud Maps. Journal of Computer and Creative Technology, 2(3), 159–173. https://doi.org/10.14456/jcct.2024.15