NAIVE BAYES ALGORITHM IMPLEMENTATION TO DETECT HUMAN PERSONALITY DISORDERS

Implementasi Algoritma Naive Bayes Untuk Mendeteksi Gangguan Kepribadian Manusia

  • Yoga Aditama Ika Nanda Universitas AMIKOM Yogyakarta
  • Bety Wulan Sari Universitas AMIKOM Yogyakarta
DOI: https://doi.org/10.33480/techno.v17i1.1239
Keywords: Personality Disorder, Naïve Bayes, Data Mining, Classification

Abstract

We live in a society that still sees problems regarding one's soul and personality as taboo, even though mental health is as important as physical health. A personality disorder itself is a disorder that can be seen from behavior, mindset, and attitude, which brings difficulties to life. Based on this problem, this study applies the method of Naive Bayes classifier as early detection of human personality disorders. Using a data set of 130 correspondences from the AMIKOM university scope with the age limit of 18-25 years and identified personality disorders is a borderline type disorder. The data obtained was 94 with undiagnosed classes and 36 with undiagnosed classes, with the research variables in the form of questionnaire questions as many as 13 questions. The testing process is done with 10 fold and 5 fold cross-validation, and confusion matrix with the results in the form of accurate 10 folds superior with a value of 88.8% compared to 5 folds that is 88.2%, for precision 10 folds superior with 88.7%, but for 5 fold recall superior with 88.3%, while the final results of these two performances in F1-Score, produce the same value, which is 86.1%.

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Published
2020-03-05
How to Cite
Nanda, Y., & Sari, B. (2020). NAIVE BAYES ALGORITHM IMPLEMENTATION TO DETECT HUMAN PERSONALITY DISORDERS. Jurnal Techno Nusa Mandiri, 17(1), 9-16. https://doi.org/10.33480/techno.v17i1.1239
Issue
Vol 17 No 1 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of March 2020
Section
Articles
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