Pengenalan Kepribadian Seseorang Berdasarkan Pola Tulisan Tangan Menggunakan Jaringan Saraf Tiruan
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.
Keywords: Grafologi,
Kepribadian, Jaringan Saraf Tiruan, Back Propagation, Learning Vector
Quantization
Penulis: Mutia Fadhilla,
Maksum Ro’is Adin Saf, Dadang Syarif Sihabudin Sahid
Kode Jurnal: jptlisetrodd170500
