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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika DINAMIKA DOTCOM Jurnal IPTEK INFORMAL: Informatics Journal JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) INOVTEK Polbeng - Seri Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Teknologi Terapan Antivirus : Jurnal Ilmiah Teknik Informatika Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Aghniya Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Minfo Polgan (JMP) JAPI: Jurnal Akses Pengabdian Indonesia Pangripta Jurnal Ilmiah Kajian Perencanaan Pembangunan Jurnal Informatika Polinema (JIP)
Pramana Yoga Saputra
Politeknik Negeri Malang
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Journal : DINAMIKA DOTCOM

 1 
IMPLEMENTASI TEKNIK CRAWLING UNTUK PENGUMPULAN DATA DARI MEDIA SOSIAL TWITTER Saputra, Pramana Yoga
DINAMIKA DOTCOM DINAMIKA DOTCOM VOL 8 N0 2 TAHUN 2017
Publisher : DINAMIKA DOTCOM

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Abstract

Social media is an online communication network with millions of users. Users can interact with the other users, and share the information through the social media. The number of users and the high frequency of data traffic and data exchange, making social media into a data warehouse. Users can obtain valuable information from this data warehouse through the data collecting process, analysis and decision making. One of the techniques that used for collecting data is crawling. Crawling is the utilization of internet bot program to browse the addresses on the World Wide Web, to do indexing and to store important data in accordance with the purpose of the bot is made. In this research, we implementing crawling on Twitter. the reason why using Twitter, because Twitter is one of the biggest social media. There are approximately 700 million tweets per day, with an average of 7500 tweets per second from users around the world. Because of the amount of data stored in Twitter, the researcher chose Twitter, to implement crawling techniques in this study.Key word: crawling, social media, twitter
Co-Authors Abdullah, Zaed Al Huda, Muhammad Iqbaluddin Al Masyriqi, Syifa’ul Ikrom Syifa’ul Ikrom Alindya Kirana Putri Annisa Puspa Kirana Ariadi Retno Ririd Arwin Datumaya Sumari Astiningrum, Mungki Asyam Alfitra, Farhan Atiqah Nurul Asri Budi Harijanto, Budi Carfin Febriawan Pratama Putra Dian Febrianti, Siti Zumaroh Dian Hanifudin Subhi Dika Rizky Yunianto Dimas Wahyu Wibowo Dwi Puspitasari Dwi Puspitasari DWI PUSPITASARI Eka Larasati Amalia Fahmi Zain Afif Winatama Faisal Rahutomo Farida Ulfa Fidyawan, Miftahul Agtamas Hendrawan, Muhammad Afif Hendrawan, Muhammad Afif Hersianty, Venny Meida Hudriyah Mundzir, Hudriyah Ilham Agung Prakoso Imam Fahrur Rozi Indra Dharma Wijaya Indra Dharma Wijaya Khairy, Muhammad Shulhan Kyaw, Htoo Htoo Sandy Larasati, Eka Maya Shoburu Rohmah Miftahul Agtamas Fidyawan Moch Zawaruddin Abdullah Muhammad Iqbal Kharis Firismanda Muhammad Shulhan Khairy Muladawila, Ali Ridho Noprianto Odhitya Desta Triswidrananta Pradana, Achmad Savero Windi Prakoso, Ilham Agung Pramitarini, Yushintia Putra, Carfin Febriawan Pratama Putri, Alindya Kirana Radian Malek Rayrendra Rahmad, Cahya Rahmadani, Alfiandi Aulia Ratsanjani, M. Hasyim Rawansyah Retno Damayanti Rohmah, Maya Shoburu Rokhimatul Wakhidah Setiadi , Chandrasena Shoumi, Milyun Ni’ma Siradjuddin, Indrazno Sirajuddin Muhammad Anshori Triana Fatmawati Triswidrananta, Odhitya Desta Ulla Delfana Rosiani Usman Nurhasan Wijanarko, Eko Setio Winatama, Fahmi Zain Afif Yan Watequlis Syaifudin Yuri Ariyanto Yushintia Pramitarini Zanuar Hanif Rachmat Adi