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      • UT - Faculty of Mathematics and Natural Sciences
      • UT - Computer Science
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      Analisis Grafologi Berdasarkan Huruf a dan t Menggunakan Algoritme K-Nearest Neighbor

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      Date
      2012
      Author
      Hubeis, Amanda Karatika
      Kustiyo,Aziz
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      Abstract
      Graphology or handwriting analysis is a method of identifying, analyzing, evaluating, and understanding personality through the strokes and patterns revealed by handwriting. People who can analyze handwriting are called graphologist. Graphologist can have a subjective assesment. Different graphologists can analyze the same handwriting but give different results. In addition, the accuracy of handwriting analysis depends on the graphologist’s ability. A system that can recognize handwrititng patterns is required to overcome these problems. The identification system which is implemented in this research uses k-Nearest Neighbor Algorithm. This research used 135 images of the letter a and 150 images of the letter t. This research is divided into five parts, three for the letter t and two for the letter a. We use a value of k from 1 to 20 for searching the best. Identifying personality based on the letter a, and identifying personality based on the letter t then clasifying them into one of the three character classes available. The results of this research is that the system has 88.89% accuracy for the letter a and 70% accuracy for the letter t.
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      http://repository.ipb.ac.id/handle/123456789/54477
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      • UT - Computer Science [2482]

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      Indonesia DSpace Group 
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