THE APPLICATION OF GRAPHOLOGY AND ENNEAGRAM TECHNIQUES IN DETERMINING PERSONALITY TYPE BASED ON HANDWRITING FEATURES

Pratiwi, Dian; Santoso, Gatot Budi; Saputri, Fiqih Hana

doi:10.21609/jiki.v10i1.372

Jurnal SINTA 2

THE APPLICATION OF GRAPHOLOGY AND ENNEAGRAM TECHNIQUES IN DETERMINING PERSONALITY TYPE BASED ON HANDWRITING FEATURES

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 10 No. 1 (2017) · pp. 11–18

DOI: 10.21609/jiki.v10i1.372
ISSN: 2502-9274, 2088-7051
Published: 2017-02-28
Publisher: Faculty of Computer Science - Universitas Indonesia
Language: eng

Abstract

This research was conducted with the aim of developing previous studies that have successfully applied the science of graphology to analyze digital handwriting and characteristics of his personality through shape based feature extraction, which in the present study will be applied one method of psychological tests commonly used by psychologists to recognize human’s personality that is Enneagram. The Enneagram method in principle will classify the personality traits of a person into nine types through a series of questions, which then calculated the amount of the overall weight of the answer. Thickness is what will provide direction personality type, which will then be matched with the personality type of the result of the graphology analysis of the handwriting. Personality type of handwritten analysis results is processed based on the personality traits that are the result of the identification of a combination of four dominant form of handwriting through the software output of previous studies, that Slant (tilt writing), Size (font size), Baseline, and Breaks (respite each word). From the results of this research can be found there is a correlation between personality analysis based on the psychology science to the graphology science, which results matching personality types by 81.6% of 49 respondents data who successfully tested.

Keywords

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7 authors · 11 co-authorship links

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Universitas Trisakti
Affiliation unknown

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Co-author	Organisation	Joint articles
Leni Muslimah	Universitas Trisakti	2
Raden Davin Rizki	Universitas Trisakti	2
Nurizka Khoerani	Affiliation unknown	1
Syandra Sari	Affiliation unknown	1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en-US">THE APPLICATION OF GRAPHOLOGY AND ENNEAGRAM TECHNIQUES IN DETERMINING PERSONALITY TYPE BASED ON HANDWRITING FEATURES</dc:title>
	<dc:creator>Pratiwi, Dian</dc:creator>
	<dc:creator>Santoso, Gatot Budi</dc:creator>
	<dc:creator>Saputri, Fiqih Hana</dc:creator>
	<dc:subject xml:lang="en-US">Graphology</dc:subject>
	<dc:subject xml:lang="en-US">Enneagram</dc:subject>
	<dc:subject xml:lang="en-US">Psychology</dc:subject>
	<dc:subject xml:lang="en-US">Personality</dc:subject>
	<dc:subject xml:lang="en-US">Handwritten.</dc:subject>
	<dc:description xml:lang="en-US">This research was conducted with the aim of developing previous studies that have successfully applied the science of graphology to analyze digital handwriting and characteristics of his personality through shape based feature extraction, which in the present study will be applied one method of psychological tests commonly used by psychologists to recognize human’s personality that is Enneagram. The Enneagram method in principle will classify the personality traits of a person into nine types through a series of questions, which then calculated the amount of the overall weight of the answer. Thickness is what will provide direction personality type, which will then be matched with the personality type of the result of the graphology analysis of the handwriting. Personality type of handwritten analysis results is processed based on the personality traits that are the result of the identification of a combination of four dominant form of handwriting through the software output of previous studies, that Slant (tilt writing), Size (font size), Baseline, and Breaks (respite each word). From the results of this research can be found there is a correlation between personality analysis based on the psychology science to the graphology science, which results matching personality types by 81.6% of 49  respondents data who successfully tested.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2017-02-28</dc:date>
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	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/372</dc:identifier>
	<dc:identifier>10.21609/jiki.v10i1.372</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 10 No. 1 (2017): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 11-18</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
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	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/372/363</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Jurnal Ilmu Komputer dan Informasi</dc:rights>
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