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All Journal Journal of Engineering and Management in Industrial System
Fujiyama, Kojiro
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Industrial & Manufacturing Engineering

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A STUDY OF RESEARCH PAPER-BASED QUESTIONNAIRE DESIGN METHODS USING CO-OCCURRENCE NETWORKS Fujiyama, Kojiro; Masuda, Koji; Oktavianty, Oke; Haruyama, Shigeyuki
JEMIS (Journal of Engineering & Management in Industrial System) Vol 12, No 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

The creation of questionnaire forms based on research papers has been done for various purposes. In previous studies, the surveyor intentionally created questions to be used in questionnaires based on secondary research and the knowledge of the researcher, and it is unclear what procedure was used to create the questions. Therefore, in this study, we examined and discussed methods of mechanically creating questions based on a review of research papers. As a result, we proposed a new method to create questions by mechanically combining words obtained from the article search, text mining of extracted articles, and co-occurrence word search. 
A STUDY OF RESEARCH PAPER-BASED QUESTIONNAIRE DESIGN METHODS USING CO-OCCURRENCE NETWORKS Fujiyama, Kojiro; Masuda, Koji; Oktavianty, Oke; Haruyama, Shigeyuki
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The creation of questionnaire forms based on research papers has been done for various purposes. In previous studies, the surveyor intentionally created questions to be used in questionnaires based on secondary research and the knowledge of the researcher, and it is unclear what procedure was used to create the questions. Therefore, in this study, we examined and discussed methods of mechanically creating questions based on a review of research papers. As a result, we proposed a new method to create questions by mechanically combining words obtained from the article search, text mining of extracted articles, and co-occurrence word search. 
Co-Authors Haruyama, Shigeyuki Masuda, Koji Oke Oktavianty