Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Raja Farhan Ramadha Pohan
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementasi Algoritma Support Vector Machine dan Model Bag-of-Words dalam Analisis Sentimen mengenai PILKADA 2020 pada Pengguna Twitter Raja Farhan Ramadha Pohan; Dian Eka Ratnawati; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Social media is a digital platform used to gather information. One of the social media in Indonesia that has the most users is Twitter. Twitter is a social media platform in a form of a microblog, that allows users to exchange opinions and share ideas. One of the topics that was widely discussed on Twitter was the implementation of the Pilkada 2020. Pilkada 2020 attracted the attention of many Twitter users because the implementation was carried out in the midst of a pandemic. Tweets or tweets of Twitter users here are used as objects to conduct sentiment analysis on related topics. This analysis process is carried out by implementing the Support Vector Machine algorithm to classify positive and negative tweets. This study uses 400 tweets, consisting of 187 positive tweets and 213 negative tweets. The scores of accuracy, precision, recall, and f1-score in this machine learning model are 87.5%, 87.4%, 87.4%, and 87.4%, respectively. This value is obtained using the C parameter of 5, and the max_iter parameter of 100.
Co-Authors Dian Eka Ratnawati Issa Arwani