UMM Institutional Repository

PERBANDINGAN METODE KLASIFIKASI BERITA HOAKS BERBAHASA INDONESIA BERBASIS PEMBELAJARAN MESIN

Athaillah, Muhammad (2019) PERBANDINGAN METODE KLASIFIKASI BERITA HOAKS BERBAHASA INDONESIA BERBASIS PEMBELAJARAN MESIN. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

[img]
Preview
Text
PENDAHULUAN.pdf

Download (2MB) | Preview
[img]
Preview
Text
BAB I.pdf

Download (72kB) | Preview
[img]
Preview
Text
BAB II.pdf

Download (393kB) | Preview
[img] Text
BAB III.pdf
Restricted to Registered users only

Download (1MB) | Request a copy
[img] Text
BAB IV.pdf
Restricted to Registered users only

Download (2MB) | Request a copy
[img] Text
BAB V.pdf
Restricted to Registered users only

Download (63kB) | Request a copy
[img] Text
POSTER.pdf
Restricted to Registered users only

Download (2MB) | Request a copy

Abstract

Classification hoax news is one of text categorizations applications. Hoax news must be classified because the hoax news can influence the reader actions and thinking patterns. Classification process in this reseacrh uses several stages, namely preprocessing, features extraxtion, features selection and classification. This research to compare Naïve Bayes algorithm and Multinomial Naïve Bayes algorithm, which of the two algorithms is more effective on classifying hoax news. The data from this research from turnbackhoax.id as hoax news of 100 articles and non-hoax news from kompas.com, detik.com of 100 articles. Training data 140 articles dan test data 60 articles. The result of the comparison of algorithms Naïve Bayes has an F1-score value of 0,93 and Naïve Bayes has an F1-score value of 0,92

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201410370311077
Thesis Advisors: Yufis Azhar (0728088701), Yuda Munarko (0706077902)
Keywords: classification, hoax, naïve bayes, multinomial naïve bayes, F1-score.
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201410370311077
Date Deposited: 29 Oct 2019 07:26
Last Modified: 29 Oct 2019 07:26
URI : http://eprints.umm.ac.id/id/eprint/54291

Actions (login required)

View Item View Item
UMM Official

© 2008 UMM Library. All Rights Reserved.
Jl. Raya Tlogomas No 246 Malang East Java Indonesia - Phone +62341464318 ext. 150, 151 - Fax +62341464101
E-Mail : infopus[at]umm.ac.id - Website : http://lib.umm.ac.id - Online Catalog : http://laser.umm.ac.id - Repository : http://eprints.umm.ac.id

Web Analytics

UMM Institutional Repository is powered by :
EPrints Logo