Open AccessImprovement of Information Technology Career Path by using Apriori and Ontology on Mobile Application
Author(s) -
Sumitra Nuameesri*,
Lap Poomhiran
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8706.019320
Subject(s) - computer science , matching (statistics) , process (computing) , path (computing) , ontology , apriori algorithm , segmentation , artificial intelligence , mathematics , statistics , association rule learning , philosophy , epistemology , programming language , operating system
In Thailand, the joblessness rate is continually expanding for new graduates. But information technology careers are nevertheless popular in business in this digital age. Finding a way to support students to know the career direction that is suitable for them and is ready before going out for a job is therefore very valuable. However, most students do not know which occupation is best for them and are concern about the need to educate themselves and build up information that is suitable for their current career. This paper presents the Thai mobile application for predicting a student's career based on subject results and guidance of training courses for information technology career path using the Apriori algorithm and ontology technique with the longest matching approach in the process of Thai word segmentation. The developed mobile application was tested in black box by experts and evaluated the satisfaction by users. The result shows that the developed mobile application was the highest effective with the high consensus for the evaluation of user satisfaction.