p-Index From 2020 - 2025
8.758
P-Index
This Author published in this journals
All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Sistem Informasi dan Bisnis Cerdas Indonesian Journal of Information System Jurnal Eksplora Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science Jurnal DISPROTEK Compiler Jurnal ULTIMA InfoSys JUTEKIN (Jurnal Manajemen Informatika) INTEK: Informatika dan Teknologi Informasi Dharma Bakti JMAI (Jurnal Multimedia & Artificial Intelligence) Antivirus : Jurnal Ilmiah Teknik Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Technologia: Jurnal Ilmiah Informatika Jurnal Sistem informasi dan informatika (SIMIKA) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknika JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Masyarakat Berdaya dan Inovasi Jurnal Sistem Komputer dan Informatika (JSON) Infotek : Jurnal Informatika dan Teknologi SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal ABM Mengabdi International Journal of Community Service Society: Jurnal Pengabdian Masyarakat Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Journal Of Information System And Artificial Intelligence Jurnal Sistem Informasi dan Bisnis Cerdas AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding International Journal of Informatics Engineering and Computing
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Sistem informasi dan informatika (SIMIKA)

ANALISIS SENTIMEN MASYARAKAT TERHADAP VAKSINASI COVID-19 PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) Herwin Syah; Arita Witanti
Jurnal Sistem Informasi dan Informatika (Simika) Vol 5 No 1 (2022): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v5i1.1411

Abstract

This research was conducted to find information about the tendency of Indonesian people regarding the Covid-19 vaccination. The method that the author uses is by collecting data from Twitter social media using the API key provided by Twitter. The process of collecting data using a Python application with several libraries such as tweepy, pandas, numpy and nltk. After the data is crawled, then the data is cleaned with several data cleaning processes such as remove username, remove url, lower case, remove stopwords and lemmatize. Then the results are labeled with the textblob and sklearn libraries. then the data is analyzed using the Support Vector Machine (SVM) algorithm with the best comparison being 20 testing data and 80 training data or as many as 942 testing data and 3766 training data, the prediction results for testing data are f1 score 0.93, accuracy score 0.88, precision score 0.88 and a recall score of 0.99. The results showed that from 4,078 tweet data, there were 2,525 positive sentiments (43.0%), 771 negative sentiments (16.4%), and 1,912 neutral sentiments (40.6%). The results of 80% (3766) of training data and 20% (942) of test data obtained an accuracy score of 73.6%. From this study, it can be concluded that the tendency of Indonesian people when sampling data is taken is more accepting (positive responses) to government policies regarding the Covid-19 vaccination program. In the future, it is hoped that there will be a library that supports text data processing such as regional languages, because researchers found that during the data cleaning process there was a lot of word elimination, because many regional languages ​​were used by the Indonesian people in writing on social media.
Co-Authors Abdul Rahman Wahid Agus Tri Widiyanto Akhmad Muzaki Alexander Radja Bria, Nyongki Apriani, Nana Ardhian Yulihandra Hanum Ari Widiyatmoko Arnanda Nuryasa Asshiddiq, Muh. Hasbi Bangkit Sasangka Bowo Nugroho Dharmawan, Thoriq Didik Kurniawan Djaelani Sosanto Domnina Rani Puna Rengganis Eko Hariyanto Fatimah, Malida Fatkhurrahman Hazmi, Shadrina Heri Ardiansyah Herli Setiawan Herwinsyah Huda, Maasyaril Kirom Mi’Rojul Ibnu Fajar Shiddiq Indah Susilawati Insan, Fariq Maulana Jeffri, Derry Meilana Krisna Bima Bagus Saputra M. Abdurozik Mahendra Wahyu Prihantoro Mahmudie, Bagus Muh. Fahrurrozi Mukhamad Arifin Munfaati, Eka Aenun Nisa Mutaqin Akbar Nadiyah, Raden Ayu Salma Naftali Sulardi Natanael Dimas Randy Nesya Rogawati Novriansyah Rosi Nur Lestari Puji Oktavia, Feliana Ozzi Suria Pambudi, Wahyu Tities Parjono, Parjono Pramana Adi Setiawan Prasetyaningrum, Putri Taqwa Pusaka, Semerdanta Putry Wahyu Setyaningsih Recoba Abednego Davinci Reizandi, Dwisatya Rengganis, Domnina Rani Puna Rina Dwiarti Rizqi Oktafiani Rogawati, Nesya Sadikin, Arif Maulana Salsabilla, Fadiah Nur Saputra, David Saputro, Fredy Siti Mutia Candra Soeharto, Triana N.E.D Sowanya Ardi Prahara Subarjo subarjo, Subarjo Supatman Supatman Supatman Supatman, Supatman Tito Rikanto Triana Noor Edwina Dewayani Soeharto Triana Noor Edwina Dewayani Soeharto vanrika, adena reis Wahyu Setyaningsih, Putry Wahyu Tities Pambudi Wahyu Tities Pambudi Wibowo, Ibnu Surya Widarta Widarta, Widarta Widatama, Krisna William, Haris Wulandari, Erika Yetti Lutiyan Suprapto