Word Analysis of Indonesian Keirsey Temperament
Personality uniquely relates to our feeling and pattern to the aspect of actions. This behavior will change through the experience, formal education, and the surrounding environment. This works based on the Keirsey Temperament Sorter, a personality questionnaire developed by David Keirsey. This mode...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | EJournal Article |
| Published: |
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,
2020-10-31.
|
| Subjects: | |
| Online Access: | Get Fulltext Get Fulltext |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02070 am a22003133u 4500 | ||
|---|---|---|---|
| 001 | IJCSS_58595 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Iskandar, Ahmad Fikri |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Utami, Ema |e author |
| 700 | 1 | 0 | |a Prasetio, Agung Budi |e author |
| 245 | 0 | 0 | |a Word Analysis of Indonesian Keirsey Temperament |
| 260 | |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., |c 2020-10-31. | ||
| 500 | |a https://jurnal.ugm.ac.id/ijccs/article/view/58595 | ||
| 520 | |a Personality uniquely relates to our feeling and pattern to the aspect of actions. This behavior will change through the experience, formal education, and the surrounding environment. This works based on the Keirsey Temperament Sorter, a personality questionnaire developed by David Keirsey. This model divides the personality into four categories as Idealists, Rationals, Guardians, and Artisans. This concept is commonly recognized for the interpretation of specialist trends, potentially contributes to the process of recruitment or selection, and potential fields for analysis of social media data. Words selected by using Chi-Square with an error of 5%. Accuracy of the lexicon approach is 34%, while the best machine learning approach is Random Forest algorithm with 69.59% | ||
| 540 | |a Copyright (c) 2020 IJCCS (Indonesian Journal of Computing and Cybernetics Systems) | ||
| 540 | |a http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Computer Science | ||
| 690 | |a Keirsey; Temperament; Personality; Chi-Square | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 14, No 4 (2020): October; 365-376 | |
| 786 | 0 | |n 2460-7258 | |
| 786 | 0 | |n 1978-1520 | |
| 787 | 0 | |n https://jurnal.ugm.ac.id/ijccs/article/view/58595/29702 | |
| 856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/58595 |z Get Fulltext |
| 856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/58595/29702 |z Get Fulltext |