Sistem Identifikasi Komentar Negatif Pada Instagram

Wicaksono, Ilham and , Bana Handaga, S.T.,M.T.,P.h.D (2020) Sistem Identifikasi Komentar Negatif Pada Instagram. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Starting from a problem that often occurs in the social media application Instagram, namely negative comments. Negative comments are generally in the form of words that annoy the account owner because they are not related to photos or videos. Negative comments can cause the mentality of the account owner to be disturbed because the comments are too cornering for the account owner. This study aims to build a system that can identify negative comments on Instagram. To identify negative comments using Sentiment Analysis with Naïve Bayes (NB) method and using system design tools such as Activity Diagrams, ERD (Entity Relationship Diagrams), Use Case Diagrams, Codeigniter, MySQL and Visual Studio Code. Comment data used in this study was taken from all comments in the photo or video of the account owner. Testing on the system using the Black Box and Usability methods. From the results of research the system runs as expected to help deal with negative comments on Instagram posts. The test results from the Black Box explained that the system made can run according to its function and based on testing from Usability using the System Usability Scale (SUS) questionnaire, the average score of 67.08 is obtained so that it can be concluded that the system is in a good category and can be accepted by users

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	Identifikasi Komentar Negatif, Instagram, Komentar Negatif, Naïve Bayes (NB), Sentiment Analysis
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User:	ILHAM WICAKSONO
Date Deposited:	13 Jun 2020 05:20
Last Modified:	13 Jun 2020 05:20
URI:	http://eprints.ums.ac.id/id/eprint/82841

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