Teknomatika: Jurnal Informatika dan Komputer
Vol 14 No 2 (2021): TEKNOMATIKA

Analisis Sentimen dan Klasifikasi Terhadap Tren “UU ITE” di Media Sosial Twitter

Risky Setyadi Putra (Universitas Jenderal Achmad Yani Yogyakarta)
Muhammad Habibi (Universitas Jenderal Achmad Yani Yogyakarta)
Aris Wahyu Murdiyanto (Universitas Jenderal Achmad Yani Yogyakarta)
Nafisa Alfi Sa'diya (Unknown)



Article Info

Publish Date
27 Oct 2021

Abstract

Undang-undang Informasi and Transaksi Elektronik abbreviated UU ITE is a law that regulates information and electronic transactions, or information technology in general. This study discusses sentiment analysis from tweet data with keywords “UU ITE” Who uses as much data 7.407 tweet data and re-tweets taken in the period July 21 - August 16, 2021, with details 914 data that has been manually labeled and 6,493 data labeled using Predicting that the data was taken using authentication on the Twitter API and executed using the Python library. This research uses methods Support Vector Machine because it has several advantages including It is capable of handling the classification of two classes, and its implementation is relatively easy. For the support vector machine stage, namely data retrieval, preprocessing data, manual labeling, data training and testing. As for the solution offered in this research is to create an analysis model that can be used to conduct sentiment analysis about the ITE Law on social media Twitter. This research was successful using the Support Vector Machine method to create a sentiment analysis model with an accuracy of 81.20% for data Training and 87% for data testing. This study provides results that UU ITE have negative sentiments by netizens on social media Twitter based on on the results of classification and calculations on the model and tweet data and the number of Negative discussions.

Copyrights © 2021






Journal Info

Abbrev

teknomatika

Publisher

Subject

Computer Science & IT

Description

Teknomatika: Jurnal Informatika dan Komputer ISSN: 3031-0865 (Online), 1979-7656 (Print) is a free and open-access journal published by Fakultas Teknik dan Teknologi Informasi Universitas Jenderal Achmad Yani Yogyakarta, Indonesia. Teknomatika publishes scientific articles from scholars and experts ...