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Big Data & Implementasinya

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Anshar Abdullah
Anshar Abdullah

Presenting Ideas GPTP III Telkom 2016

Data & Analytics
1 of 8
Big Data & Contoh Implementasi
5V’s in Big Data
Global Digital in 2016
Digital in Indonesia
http://pennystocks.la/internet-in-real-time/
Big Data & Implementasinya
Big Data & Implementasinya
Big Data & Implementasinya

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Big Data & Implementasinya

Editor's Notes

  1. Velocity : Kecepatan data yang masuk ke dalam server Variety : Keberagaman type data, ex : text, number, images, dan file-file lain Value : Berpotensi dapat digunakan kembali menjadi informasi informasi Veracity : Kebenaran data Volume : Data berskala besar
  2. Total populasi di dunia : 7,395 Miliar Total pengguna internet : hampir 50% dari populasi dunia yaitu 3,419 Milyar Total pengguna active social media users : lebih dari 60% dari pengguna internet adalah pengguna social media Total pengguna mobile : 50% dari populasi dunia Total pengguna Social users aktif : 50% dari pengguna mobile
  3. Total populasi di dunia : 259,1 juta orang Total pengguna internet : 1/4 dari populasi Indonesia yaitu 88.1 juta merupakan pengguna aktif internet Total pengguna active social media users : lebih dari 90% dari pengguna internet adalah pengguna social media Total pengguna mobile : pengguna mobile>total populasi (1 orang 2 hp) Total pengguna social user mobile : 66 juta Total pengguna Social users aktif : 50% dari pengguna mobile
  4. Data diambil dari jam 9 pagi-10 pagi selama satu jam FB : 22.104 GB/1jam POTENSIAL sekali untuk diekstrak informasi yang lebih berguna
  5. Orang-orang cenderung lebih jujur ketika di social media, tanpa diminta sekalipun Isi dari tweet beragam : curhatan, berita, live tweet, percakapan
  6. Model asosiasi : jika A+B maka C, jika pengguna ngetweet sebuah protes berkali kali maka kecenderungannya akan copot layanan Influence Person : mencari pengguna yang paling berpengaruh, penggunaannya : endorse, iklan Sentimen analisis : mengelompokkan tweet berdasarkan kritikan atau pujian Target pasar : merekomendasikan target market berdasarkan history pengguna ketika melakukan posting tweet Monitoring : mengelompokkan tweet kedalam keluhan-keluhan berdasarkan jenis keluhannya secara otomatis