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KLASIFIKASI KOMENTAR PERUNDUNGAN PADA INSTAGRAM MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

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Penilaian

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Instagram is a social media that can be reached by various groups and is very popular. But in reality Instagram is abused by some users, for example bullying. Bullies do not realize that the comments they make are acts of bullying. Therefore, the classification of comments on Instagram using the Naïve Bayes Classifier method needs to be done to make it easier for users to find out whether the comments are classified as abusive or not. If these comments fall into the category of bullying, then they can be followed up with the authorities. The results of the tests that have been carried out show that the Naïve Bayes Classifier method in classifying bullying comments on Instagram has a fairly good performance. The test results on the system built repeat that the Naïve Bayes Classifier method provides an accuracy value of 85%, Precision of 89%, recall of 79% and f-measure of 84%. Keywords : Naïve Bayes Classifier, Classification, Comments, Bullying, Instagram

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000546	T88912	T889122023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T889122023

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xv, 57 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.754 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Teknik Informatika
Situs Jejaring Sosial

Specific Detail Info

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Statement of Responsibility

SEPTA

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