Browsing by Author "Imannurin, Alparondi"

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    ANALISIS PERSEPSI MASYARAKAT TERHADAP PENGESAHAN UU CIPTA KERJA TAHUN 2020 MENGGUNAKANMETODE SVM DAN NBC
    (Elfitra, 2022-07) Imannurin, Alparondi; Alfirman, Alfirman
    Twitter is one of the social media that people choosen to express their opinion. Opinion is a statement from the public based on their problem which distribute through social media. The government has legitimate the Job Creation Law No. 11 2020 which reap the criticism from society elements. The aims of this study are to find out the public perception to validation of the Job Creation also, to determine the performance of the Support Vector Machine to obtaining the optimal hyperplane that gives distance or separator between the two classes and classifying Naïve Bayes in determining to classify simple probabilities. Data used in this study was collected using twitter scraper, in the form of data tweets with the keywords #omnibuslawand #UUCiptaKerja in the month of October 2020. The result of the evaluation that used confusion matrix showed that Support Vector Machine method produced 82% accuracy level which is better than the Naive Bayes Classifier which produced 80% accuracy. Society was not completely against the legalization of the Job Creation Law, as there were a few perspective of the society that agreed towards the clauses that was considered profitable for the society such as lay off policy, economic growth and investation, work field creation and simplifying the process of business licensing.