Pengenalan Kepribadian Seseorang Berdasarkan Pola Tulisan Tangan Menggunakan Jaringan Saraf Tiruan

  • Mutia Fadhilla Politeknik Caltex Riau
  • Maksum Ro’is Adin Saf Politeknik Caltex Riau
  • Dadang Syarif Sihabudin Sahid Politeknik Caltex Riau
Keywords: Grafologi, Kepribadian, Jaringan Saraf Tiruan, Back Propagation, Learning Vector Quantization

Abstract

Graphology is a study of representing personality based on handwriting. Individual’s handwriting is unique and has own feature that it can be analyzed to understand personality. Graphology is used in some fields such as staffing, determining interest and talent. Some researches in graphology using artificial intelligence have been studied before. However, most of the researches still used one handwriting feature and did not classify into personality type. In this study, using some features of handwriting, i.e. left margin, right margin, size, and slant to classify personality type. Personality is classified based on Myers-Briggs Type Indicator (MBTI) using Back Propagation and Learning Vector Quantization method. The result shows that Learning Vector Quantization has better performance, with 90% accuracy, than Back Propagation, which has 82% accuracy.

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How to Cite
Mutia Fadhilla, Maksum Ro’is Adin Saf, & Dadang Syarif Sihabudin Sahid. (1). Pengenalan Kepribadian Seseorang Berdasarkan Pola Tulisan Tangan Menggunakan Jaringan Saraf Tiruan. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 6(3), 365-373. Retrieved from https://journal.ugm.ac.id/v3/JNTETI/article/view/2841
Issue
Vol 6 No 3: August 2017
Section
Articles

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