Jurnal Ilmu Komputer
Vol 14 No 1 (2021): Jurnal Ilmu Komputer

Analisis Sentimen Opini Pemindahan Ibu Kota Pada Twitter Dengan Metode Support Vector Machine

Tezza Fazar Tri Hidayat (Unknown)
Garno Garno (Unknown)
Azhari Ali Ridha (Unknown)



Article Info

Publish Date
30 Apr 2021

Abstract

The relocation of the capital city of Indonesia has now been inaugurated by President Joko Widodo on August 26, 2019, to Kalimantan, it is a new history in Indonesian history because it has never happened before, giving rise to many opinions or responses from the public. Sentiment analysis is an activity used to analyze a person's opinions or opinions on a topic. Twitter is a social media used to express user's opinions and united them on a topic. Support Vector Machine is a method of text mining which includes classification methods and Term Frequency - Inverse Document Frequency is a method of weighting characters. SVM and TF-IDF can be used to analyze public opinion sentiments on the topic of moving the Indonesian capital. The purpose of this study is to classify public opinion on the topic of moving the Indonesian capital from thousands of tweets that have been collected and filtered. Tweets that have been processed are 992 tweets from March 22-29, 2020 and, consist of 221 data with positive labels and 771 negative data. And using the SVM method which has an accuracy of 77.72% and combined with TFIDF which increases its accuracy to 78.33%.

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Journal Info

Abbrev

jik

Publisher

Subject

Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

Description

JIK is a peer-reviewed scientific journal published by Informatics Department, Faculty of Mathematics and Natural Science, Udayana University which has been published since 2008. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding ...