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Psychowriting Types Indicator (PTI) Software Development to Understand Personality Types in Writing and Developing Writing Skill Competencies
Anas Ahmadi

Indonesian Language & Literature, Universitas Negeri Surabaya, Surabaya, Indonesia
anasahmadi[at]unesa.ac.id


Abstract

The current trend in the issue of writing research is interdisciplinary. Therefore, in this study linking interdisciplinary studies between the study of science, psychology, and writing. In this regard, this study aims to develop and explore the development of the Psychowriting Types Indicator (PTI) Software in creative writing. This research was initiated in 2015 by developing the book Psychowriting (2015). Furthermore, this year, software developed Psychowriting Types Indicators (PTI). This research is urgent to develop and recognize personality types in writing which have not been "touched" in research writing. The method used in this study is descriptive qualitative. The data analysis technique uses three stages, (1) the stage of developing the Psychowriting Types Indicator (PTI) Software, (2) the stage of the Psychowriting Types Indicator (PTI) practice, (3) the analysis phase, (4) the data presentation stage, and (5 ) inference stage. The research respondents were 42 students of the Indonesian Language and Literature Department who programed the Writing Skills course. The results and discussion of the study indicate that the personality type in writing is divided into (1) the type of personality of the abstractive writer is 26 percent; (2) the type of melancholis writer personality amounts to 10 percent; (3) intuitive personality types as much as 31 percent; (4) thinker personality types totaling 5 percent; (5) explanatory personality types totaling 9 percent; (6) masculine personality types totaling 7 percent; (7) feminist personality types totaling 6 percent; (8) expressive personality types totaling 6 percent. Conclusion shows that the highest personality type in writing is the intuitive category, while the lowest type is the type of thinker category

Keywords: software, psychowriting type indicators, writing

Topic: Computer Science

Link: https://ifory.id/abstract/HXzGVnZ2FgvR

Conference: The 4th Annual Applied Science and Engineering Conference (AASEC 2019)

Plain Format | Corresponding Author (Anas Ahmadi)

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