MASAID, ABU HUSNAUL (2023) ANALISIS SENTIMEN MASYARAKAT PADA MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER DENGAN STUDI KASUS KADIV PROPAM POLRI. S1 thesis, UNIVERSITAS MUHAMMADIYAH PURWOKERTO.

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Abstract

The development of information technology is very rapid, marked by public
opinion that can be conveyed indefinitely through social media. With this service
from Twitter, the general public can express feelings and make conversation on a
certain topic. One of the topics discussed on Twitter is the Ferdi Sambo case, where
this case involved one of the high-ranking police officers of the Republic of
Indonesia, where the death of a member of the Indonesian National Police,
Brigadier Yoshua, or who is often referred to as Brigadier J, is considered a death
case. which was carried out by his boss, Ferdi Sambo. This case finally gave rise
to various kinds of public opinion which were pro and con against the performance
of the National Police, where the case experienced by the senior police officer was
too protracted in its resolution, and from the pros and cons of the community's
responses, positive, negative and neutral data could be obtained. And from the
results of scraping using the Python programming language, 15.000 data were
obtained, which were then preprocessed by going through the Cleaner,
Normalize_slang, Stopword, Stemming stages, and then the data labeling process
was carried out using the lexicon.

Dosen Pembimbing: BADHARUDIN, ABID YANUAR | nidn0603018603
Item Type: Thesis (S1)
Uncontrolled Keywords: Ferdy Sambo, twitter, analisis sentimen, naïve bayes classiier
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Tekniik Dan Sains > Teknik Informatika S1
Depositing User: Iin Hayuningtyas
Date Deposited: 06 Oct 2023 02:15
Last Modified: 06 Oct 2023 03:13
URI: http://repository.ump.ac.id/id/eprint/15830

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