EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi
Vol 12, No 2 (2022): December

Sentimen Analisis Twitter Ibu Kota Negara Nusantara Menggunakan Long Short-Term Memory dan Lexicon Based

Saepul Aripiyanto (Universitas Islam Negeri Syarif Hidayatullah Jakarta)
Tukino Tukino (Universitas Buana Perjuangan Karawang)
Ammar Sufyan (Universitas Islam Negeri Syarif Hidayatullah Jakarta)
Riandi Nandaputra (Universitas Islam Negeri Syarif Hidayatullah Jakarta)



Article Info

Publish Date
31 Dec 2022

Abstract

In the 2020 APJII Survey, Indonesians who use Twitter for social media are 10% of the entirety of social media users in Indonesia (APJII 2020), the issue that is being discussed a lot both on social media and offline discussions, is the National Capital City (IKN) of the Archipelago, which is the new capital city of the Republic of Indonesia. The relocation of the capital city raises pros and cons. With these pros and cons, an analysis of public sentiment regarding the IKN issue becomes a necessity. In this research, the model that will be used to analyze sentiment analysis uses the Long Short Term Memory (LSTM) algorithm and lexicon based on two scenarios, which is the scenario that uses 100 data of tweets and 5112 data of tweets. The results for the 100 tweets dataset scenario obtained 64% accuracy, 40% precision, 64% recall, and 79% F1-Score. Meanwhile, the results for the 5112 tweets data scenario obtained 79% accuracy, 82% precision, 79% recall, 79% F1-Score. The sentiment results obtained from the 5112 tweets data are 44.8% positive sentiment, 36.2% negative sentiment and 19.0% neutral sentiment. Based on this research, the number of datasets will affect the performance of deep learning models built using lexicon based and LSTM algorithms.

Copyrights © 2022






Journal Info

Abbrev

expert

Publisher

Subject

Computer Science & IT

Description

EXPERT: Jurnal Manajemen Sistem Informasi dan Teknolologi menyajikan artikel/naskah dalam bidang teknologi informasi khususnya dalam Fokus pada 5 kelompok keilmuan di bidang sistem informasi yaitu: Sistem Informasi, Rekayasa Perangkat Lunak (RPL), Jaringan, Multimedia, Security, Teknologi Web dan ...