Implementasi Analisis Sentimen Menggunakan Naïve Bayes Terhadap Keluhan Sarana dan Prasarana Di Biro Administrasi Umum Universitas Muhammadiyah Surakarta

Yoga Pratama, Dimas and , Dr., Ir. Bana Handaga, M.T. (2020) Implementasi Analisis Sentimen Menggunakan Naïve Bayes Terhadap Keluhan Sarana dan Prasarana Di Biro Administrasi Umum Universitas Muhammadiyah Surakarta. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

The opinion is the right of human life that existed since birth, but there are still many people who do not realize the freedom of opinion should be balanced with a speech that does not hurt and polite to convey the opinion clearly. Technology development allows people to freely argue that it is no exception on social media. Whatsapp is one of the social media sharing messages that allows users to personally or in a group to convey the opinion, criticism, and suggestion. To utilization opinions to help performance evaluation requires precise analytical techniques in accordance with the data encountered such as sentiment analysis.Therefore, this research conducted a sentiment analysis of complaints in WhatsApp group facilities and infrastructure General Administration Bureau University of Muhammadiyah Surakarta using Naïve Bayes Classifier to suggest BAU increase their performance manage Sarpras in University of Muhammadiyah Surakarta. This research using 420 data with 216 negative labeled data and 204 positive labeled data and resulted in negative sentiment is 70,64% and positive sentiment is 29,37% with an accuracy 69.05%. These result reveal complaints of more satire then performance appreciation.

Item Type: Karya ilmiah (Skripsi)
Uncontrolled Keywords: Analisis Sentimen, Naïve Bayes Classifier, Whatsapp
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User: DIMAS YOGA PRATAMA
Date Deposited: 29 Jan 2020 06:32
Last Modified: 29 Jan 2020 06:36
URI: http://eprints.ums.ac.id/id/eprint/80056

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