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All Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Mutia Fadhilla
Department of Informatics Engineering, Universitas islam Riau
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Pengenalan Kepribadian Seseorang Berdasarkan Pola Tulisan Tangan Menggunakan Jaringan Saraf Tiruan Mutia Fadhilla; Maksum Ro’is Adin Saf; Dadang Syarif Sihabudin Sahid
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 3: Agustus 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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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.
Co-Authors Dadang Syarif Sihabudin Sahid Maksum Ro’is Adin Saf