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DC Field | Value | Language |
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dc.contributor.author | Palilingan, Verry Ronny | - |
dc.contributor.author | Batmetan, Johan Reimon | - |
dc.date.accessioned | 2020-07-09T13:10:38Z | - |
dc.date.available | 2020-07-09T13:10:38Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2278-3091 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/546 | - |
dc.description.abstract | Choosing the good career is important since early when you are still in college. The good career will help should be in accordance with the personality of each person to ensure that the career can be lived in continuous time. The purpose of this study is to predict the career of students in higher education based on their personality using a virtual assistant. The method used is the prototype method to build a virtual assistant by adopting the MBTI personality test. The results of this study indicate that virtual assistants are built very well to recommend appropriate career choices to students in higher education according to the personality possessed by each student. The virtual assistants produced successfully implemented the MBTI test model in a system that was built and had a high degree of accuracy in recommending career choices. This study concludes that predicting the right career choice will be able to help students in higher education to prepare for careers early when they are still educating and practicing it well so as to produce sustainable career choices in the future. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | World Academy of Research in Science and Engineering | en_US |
dc.relation.ispartofseries | Volume 8;No. 1.5 | - |
dc.subject | prediction, higher education, personality, careers, virtual assistant | en_US |
dc.title | Virtual Assistant for Prediction High Education Students Personality in Seeking Sustainable Careers | en_US |
dc.type | Article | en_US |
Appears in Collections: | Lecturer Scientific Papers |
Files in This Item:
File | Description | Size | Format | |
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FT Palilingan KI Jurnal 4 Virtual Assistant for Prediction.... Scopus Q4_compressed (1).pdf | 456.58 kB | Adobe PDF | View/Open | |
FT Palilingan PR Review Jurnal Virtual assistant for prediction... SCOPUS.pdf | 517.95 kB | Adobe PDF | View/Open | |
FT Palilingan Turnitin Jurnal 4 Virtual....pdf | 1.13 MB | Adobe PDF | View/Open |
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