Profil Kepribadian Big Five dan Collecting Behaviour Kolektor Piringan Hitam

Nugrahawati, Eni Nuraeni; Arista, Destianty

doi:10.15575/psy.v3i1.743

Cited by 1 publication

(2 citation statements)

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“…. | ) = Opportunity attribute if the known state of Vj However, because P (a1, a2, a3 …… ..an | vj) is difficult to calculate, it will be assumed that each word has no relation, indicated by Equation (7). VMAP =Arg Max P(Vj ) ∏ P (ai |Vj ) is the opportunity is the number of parameters / total words is the number of word records in each class category Equation 8is resolved through the following calculation: 1.…”

Section: E Naïve Bayes Classifiermentioning

confidence: 99%

“…In this study, the author is more or less inspired by the references of previous studies by looking at the background of the problems in this study. The research related to this research are Big Five Personality Profile and Collecting Behavior of LPs Collectors [7] Collectors generally have trait openness to high experience personalities, collectors tend their hearts and persistence in caring for hunting and more. Collectors easily join and socialize with others because collecting related to music can eliminate anxiety.…”

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confidence: 99%

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Knowing Personality Traits on Facebook Status Using the Naïve Bayes Classifier

Sarwani¹,

Salafudin²,

Sani³

2020

Int.J.Artif.Intell.Robot.

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With the development of social media trends among students by using Facebook social media, students can communicate and pour out everything that is felt in the form of status. Personality is the character or various characters of a person - therefore, how a person to adjust to the surrounding environment for the achievement of communication smoothly. In the personality category, many things classify a person's category in the psychologist theory. In this exercise, the Big Five, the psychologist theory, is described in five codes, namely Openness, Conscientiousness, Extraversion, Agreeables, Neuroticism. Naive Bayes Classifier is used to determine the highest probability value with the aim to determine the highest value. The data used are two namely training data and testing data obtained from the Facebook status of students. From the data obtained can be tested in the system that the accuracy value is 88%.

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Section: E Naïve Bayes Classifiermentioning

confidence: 99%

mentioning

confidence: 99%