Graphology or handwriting analysis can be used to infer the traits of the writers by examining each stroke, space, pressure, and pattern of the handwriting. In this study, we infer a six-dimensional model of human personality (HEXACO) using a Convolutional Neural Network supported by Particle Swarm Optimization. These personalities include Honesty-Humility, Emotionality, eXtraversion, Agreeableness (versus Anger), Conscientiousness, and Openness to Experience. A digital handwriting sample data of 293 different individuals associated with 36 types of personalities were collected and derived from the HEXACO space. A convolutional neural network model called GraphoNet is built and optimized using Particle Swarm Optimization (PSO). The PSO is used to optimize epoch, minibatch, and droupout parameters on the GraphoNet. Although predicting 32 personalities is quite challenging, the GraphoNet predicts personalities with 71.88% accuracy using epoch 100, minibatch 30 and dropout 52% while standard AlexNet only achieves 25%. Moreover, GraphoNet can work with lower resolution (32 x 32 pixels) compared to standard AlexNet (227 x 227 pixels).

Language is a tool which is required to learn. English is one of the languages which is required to be learnt, due to its status as considered international language for communication among cultures and systems. Young learners at age of three to six years old are considered to be the most potential language learners. Phonics is a teaching method in speaking which teaches based on how the alphabets sound in English sentences. This method commonly is implemented on adult learners to examine the English pronunciation fluency, while there are still less studies regarding phonics implementation on young to prove whether the phonics method works for young learners at the age of three to six considering the learning stage is still remembering at those range of age. This study is conducted to see how effective the phonics method increases the progress of English speaking in young learners. The method which is used for this research is direct experimental on classroom research, with causal comparative research design. The subjects are kindergarten students in one private school with the number of 30 at the age of six as samples to be taken for given reading and pronunciation tests in both pre-phonics and post-phonic implementation. The result shows that there is an increase of 30% in term of pronunciation accuracy and an increase of 21 seconds at average for students to recognize the unfamiliar English words pronunciation.