Pemanfaatan Packages Pada R Programming Untuk Crawling Data Pada Social Media
Abstract
Social media is one of the many sources of data that can be extracted to obtain various information. In R Programming, there are thousands of packages that can be used to crawl social media data, both the default packages and the developer versions. Difficulty in extracting data will result in less than optimal research, so there is a need for adequate tools to support research. R Programming is able to become a bridge for researchers to explore existing tools, both by utilizing packages and building simple algorithms in R programming. Twitter data crawling is done through an API connection on Twitter with R Programming, so that we can get data by entering keywords according to the desired search both in realtime and at certain times as needed. With these packages it makes it easy to research in crawling social media data such as Twitter and other social media
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References
Yuni Fitriani, “Analisis Pemanfaatan Berbagai Media Sosial sebagai Sarana Penyebaran Informasi bagi Masyarakat,” Paradig. - J. Komput. dan Inform., vol. 19, no. 2, p. 152, 2017, [Online]. Available: http://ejournal.bsi.ac.id/ejurnal/index.php/paradigma/article/view/2120.
L. Mutawalli, M. Taufan, A. Zaen, and W. Bagye, “Klasifikasi Teks Sosial Media Twitter Menggunakan Support Vector Machine (Studi Kasus Penusukan Wiranto),” 2019. [Online]. Available: http://e-journal.stmiklombok.ac.id/index.php/jire.
R. Pakpahan, “Analisis Fenomena Hoax Diberbagai Media,” Konf. Nas. Ilmu Sos. Teknol., vol. 1, no. 2013, pp. 479–484, 2017, [Online]. Available: http://seminar.bsi.ac.id/knist/index.php/UnivBSI/article/view/184.
J. Eka Sembodo, E. Budi Setiawan, and Z. Abdurahman Baizal, “Data Crawling Otomatis pada Twitter,” Sep. 2016, pp. 11–16, doi: 10.21108/indosc.2016.111.
S. Khalil and M. Fakir, “RCrawler: An R package for parallel web crawling and scraping,” SoftwareX, vol. 6, pp. 98–106, 2017, doi: 10.1016/j.softx.2017.04.004.
S. Tinggi Ilmu Kepolisian -Perguruan Tinggi Ilmu Kepolisian, J. Tirtayasa Raya, M. Kebayoran Baru, and J. Selatan, “Pengaruh Sosial Media Terhadap Tingkat Kepercayaan Bergaul Siswa The Effect Of Social Media On Confidence Level Associate Students Ilham Prisgunanto.”
S. Sujoko, W. Muhamad, and Y. Fandi, “Pencarian Data dengan CRAWL SOCMED Menggunakan PHP cURL (Studi Kasus: ISC PT. TELKOM Indonesia).”
A. Furqon, D. Hermansyah, R. Sari, A. Sukma, Y. Akbar, and N. Aini Rakhmawati, “Analisis Sosial Media Pemerintah Daerah Di Indonesia Berdasarkan Respons Warganet Analysis Of Local Government Social Media In Indonesia Based On Netizen Response.”
H. A. Ahmadi and W. Supriyono, “Analisis Strategi Implementasi Media Sosial,” Jur. Manajemen, Fak. Bisnis, Univ. Pres. 2 Jur. Manaj. Univ. Budi Luhur E-mailpandu.cakranegara@president.ac.id, pp. 1–16, 2019.
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