Implementation of Data Mining Classification of People's Personalities Using Naïve Bayes Algorithm

Authors

    Sylvain Revata( 1 ) Rino( 2 )

    (1) Universitas Buddhi Dharma
    (2) Buddhi Dharma University

DOI:


https://doi.org/10.32877/bt.v6i1.741

Keywords:


Algorithm, Data Mining, Information, Naïve Bayes algorithm, Personality

Abstract

Personality or personality comes from the word Persona, a word that refers to a mask or mask. This persona has the meaning of how a person looks in front of other people. In general, the personality of a person can be seen from how they appear and give an impression to the people around them. Therefore there are many personality types in a person, from these types it is difficult to predict someone. Because you have to be able to know the characteristics that exist in the types of personality. So with that made a data mining application to predict a person's personality type. Currently, the naïve Bayes classification algorithm is one method that is quite effective to be used in predicting future opportunities using previously existing data. This is because the naïve Bayes algorithm is a classification method that is easily understood by system designers and system users. The purpose of making this data mining application is to help people find out what personality type they have.

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Published

2023-08-25

How to Cite

[1]
S. Revata and Rino, “Implementation of Data Mining Classification of People’s Personalities Using Naïve Bayes Algorithm”, bit-Tech, vol. 6, no. 1, pp. 16–22, Aug. 2023.

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Articles
DOI : https://doi.org/10.32877/bt.v6i1.741
Abstract views: 175 / PDF downloads: 149