Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Big data dan data science - kuliah umum IBS

15 views

Published on

Kuliah umum mengenai big data dan data science dan aplikasi nya di dunia nyata

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Big data dan data science - kuliah umum IBS

  1. 1. YUDY YUNARDY SE, MM D A N D A T A S C I E N C E
  2. 2. DEFINISI B i g D a t a a d a l a h t e r m i n o l o g i u n t u k k u m p u l a n d a t a y a n g s a n g a t b e s a r d a n k o m p l e k s s e h i n g g a c a r a p e m r o s e s a n s e c a r a t r a d i s i o n a l t i d a k d a p a t d i l a k u k a n 2
  3. 3. 3 DATA KONVENSIONAL
  4. 4. 4 BIG DATA
  5. 5. KARAKTERISTIK BIG DATA 5
  6. 6. 6
  7. 7. ARSITEKTUR • DBC1012 • HPCC • Hadoop (based on MapReduce by Google) • Mike 2.0 • Multiple layer/distributed parallel architecture 7
  8. 8. TEKNOLOGI • Machine learning • Natural Language processing • Artificial intelligence 8
  9. 9. APLIKASI
  10. 10. PEMERINTAH •Sensus penduduk •Algoritma lampu lalu lintas •Digital forensic •Monitor financial market activity •Pariwisata •Pencegahan bencana
  11. 11. KESEHATAN •Penemuan vaksin •Genom sequence processing •Contact tracing Covid-19
  12. 12. PENDIDIKAN • Penentuan kurikulum sesuai kemampuan individu • Penilaian efektivitas pengajaran, sehingga tercipta suasana belajar mengajar yg menyenangkan buat guru dan murid
  13. 13. MEDIA • Konten yg berbeda untuk pemirsa yg berbeda • Rekomendasi konten sesuai karakteristik individu • Mengetahui kinerja konten
  14. 14. BISNIS • Penentuan harga yg lebih akurat per individu • User experience yg unik untuk tiap individu • Mengetahui produk apa yg harus dijual, kapan dan dimana
  15. 15. STUDI KASUS B a ga i m a n a B i g D a t a d i g u n a ka n d a l a m b i s n i s 15
  16. 16. 16
  17. 17. • R e t a i l t e r b e s a r d i d u n i a , 2 j u t a s t a f d a n 2 0 . 0 0 0 t o k o d i 2 8 N e g a r a • T h 2 0 0 4 k e t i k a h u r r i c a n e S a n d y t e r j a d i l o n j a k a n p e r m i n t a a n t h d l a m p u s e n t e r d a n s t r a w b e r r y p o p t a r t • T h 2 0 1 5 m e m b u a t p r i v a t e d a t a c l o u d y g d p t m e m p r o s e s 2 . 5 P B i n f o r m a s i p e r j a m 17 LATAR BELAKANG
  18. 18. • M e m b e n t u k D a t a C a f é y g m e n g a n a l i s a 2 0 0 a l i r a n d a t a i n t e r n a l d a n e x t e r n a l s e c a r a r e a l t i m e t e r m a s u k 4 0 P B d a t a t r a n s a k s i m i n g g u s e b e l u m n y a • S o c i a l g e n o m e p r o j e c t y g m e m o n i t o r p e r c a k a p a n d i s o s m e d u n t u k m e m p r e d i k s i b r g a p a y g a k a n d i b e l i b e r d a s a r k a n p e r c a k a p a n m e r e k a 18 BIG DATA DLM PRAKTEK
  19. 19. • M e m p e r s i n g k a t w a k t u m e n e m u k a n m a s a l a h s a m p a i m e r u m u s k a n s o l u s i n y a , d a r i 2 - 3 m i n g g u m e n j a d i 2 0 m e n i t 19 HASILNYA?
  20. 20. • 2 0 0 m i l y a r b a r i s d a t a t r a n s a k s i b e b e r a p a m i n g g u t e r a k h i r • 2 0 0 s u m b e r d a t a l a i n , m e t e o r o l o g i , e k o n o m i , t e l e k o m , s o c i a l m e d i a , h a r g a B B M d a n d a t a b a s e k e j a d i a n t e r k i n i d i s e k i t a r l o k a s i t o k o 20 DATA YG DIGUNAKAN
  21. 21. 21
  22. 22. 22 • T i d a k a d a y g d a p a t m e m p r e d i k s i f i l m a p a y g a k a n m e n j a d i b o x o f f i c e ( W i l l i a m G o l d m a n ) • N e t f l i x m e m b u k t i k a n s e b a l i k n y a , d e n g a n m e m b a n g u n b i s n i s y g m e m p r e d i k s i s e c a r a a k u r a t a p a s a j a y g a k a n m e n j a d i h i t / e n a k d i t o n t o n LATAR BELAKANG
  23. 23. 23 • M e m i l i k i a n a l i t i k u n t u k b e r b a g a i b i d a n g , p e r s o n a l i z a t i o n , m e s s a g i n g , c o n t e n t d e l i v e r y , d e v i c e d l l • N e t f l i x p r i z e • S e l a i n a l g o r i t m a , N e t f l i x j u g a m e n g g u n a k a n t a g g i n g BIG DATA DLM PRAKTEK
  24. 24. 24 • M e n a m b a h 4 . 9 j u t a p e l a n g g a n d i Q 1 2 0 1 5 ( d i Q 1 2 0 1 4 m e m i l i k i 4 j u t a p e l a n g g a n ) • P e l a n g g a n N e t f l i x m e n g h a b i s k a n 1 0 m i l y a r j a m d i Q 1 2 0 1 5 HASILNYA?
  25. 25. 25 • J u d u l k o n t e n , j a m b e r a p a k o n t e n d i t o n t o n , b e r a p a w a k t u y g d i h a b i s k a n , s e b e r a p a s e r i n g k o n t e n d i s t o p / p a u s e • N e t f l i x j u g a m e n g u m p u l k a n d a t a t e n t a n g d e l a y y g d i s e b a b k a n o l e h b u f f e r i n g d a n b i t r a t e ( y g m e m p e n g a r u h i k u a l i t a s g a m b a r ) , d a n j u g a l o k a s i p e l a n g g a n DATA YG DIGUNAKAN
  26. 26. 26
  27. 27. 27 • S o s i a l m e d i a t e r b e s a r d i d u n i a , l e b i h d a r i 1 . 5 m i l y a r p e n g g u n a a k t i f • 1 0 . 0 0 0 s t a f d i 3 5 n e g a r a • 2 j u t a p e n g i k l a n a k t i f LATAR BELAKANG
  28. 28. 28 • B e r i k l a n m e n j a d i s a n g a t a k u r a t d a n e f e k t i f d i f a c e b o o k • S e l a i n p l a t f o r m u n t u k b e r b a g i g a m b a r , s u a r a d a n v i d e o j u g a u n t u k s o f t w a r e • D a t a p e n g g u n a y g s u d a h b e s a r d i t a m b a h d g i n s t a g r a m d a n w h a t s a p p • M e m p e r s i a p k a n V R s e b a g a i p l a t f o r m m a s a d e p a n BIG DATA DLM PRAKTEK
  29. 29. 29 • M e m p e r o l e h p a n g s a p a s a r 2 4 % d a r i o n l i n e d i s p l a y a d s d i A m e r i k a ( 2 0 1 4 ) • M e m p e r o l e h p e m a s u k a n 5 . 3 m i l y a r d o l a r d a r i i k l a n ( 2 0 1 4 ) • T h n 2 0 1 7 p a n g s a p a s a r m e n j a d i 2 7 % d e n g a n p e m a s u k a n 1 0 m i l y a r d o l a r HASILNYA?
  30. 30. 30 • D a t a a k t i f i t a s p e n g g u n a y g d i h a s i l k a n s e c a r a o t o m a t i s ( 2 . 5 j u t a k o n t e n t i a p m e n i t ) • M e n g o l a h d a t a i n t e r a k s i p e n g g u n a t i d a k h a n y a d i d a l a m f a c e b o o k n a m u n j u g a s i t u s l a i n ( t e r u t a m a u n t u k k o n t e n f i l m , m u s i k , b u k u d a n s e r i a l T V ) DATA YG DIGUNAKAN
  31. 31. 31
  32. 32. 32 • S a l a h s a t u s i t u s s o s m e d t e r t u a d i d u n i a ( d i l u n c u r k a n 2 0 0 3 , f a c e b o o k t h n 2 0 0 4 ) • 4 1 0 j u t a p e n g g u n a d i 2 0 0 n e g a r a • S e l a l u b e r u s a h a t e t a p r e l e v a n u n t u k p e n g g u n a p r o f e s i o n a l y g s i b u k LATAR BELAKANG
  33. 33. 33 • M e r e k a m d a n m e l a c a k s e t i a p k e g i a t a n p e n g g u n a p d s i t u s L i n k e d I n • P e m b e r i a n s a r a n “ p e o p l e y o u m a y k n o w ” y g a k u r a t b e r k a t a l g o r i t m a • S a r a n t s b j u g a m e n c a k u p t e m a n d a r i t e m a n k i t a • S a r a n t s b j u g a m e n c a k u p p e n g g u n a s i t u s l a i n • M e n g g u n a k a n m a c h i n e l e a r n i n g a l g o r i t h m BIG DATA DLM PRAKTEK
  34. 34. 34 • 4 0 j u t a p e n g g u n a b a r u d i p a r u h p e r t a m a 2 0 1 5 • P e m a s u k a n 7 0 0 j u t a d o l a r ( m e n i n g k a t d a r i 6 4 0 j u t a d o l a r d i k u a r t a l s e b e l u m n y a ) HASILNYA?
  35. 35. 35 • T e k n o l o g i s t r e a m - p r o c e s s i n g , d a t a a k t i f i t a s p e n g g u n a d i o l a h s e c a r a r e a l t i m e • K o n t e n y g d i l i k e , s h a r e , j e n i s p e k e r j a a n y g d i k l i k , p e s a n y g d i k i r i m • P u l u h a n r i b u s i t u s w e b s e t i a p d e t i k d i t a m p i l k a n d l m s i t u s L i n k e d I n j u g a d i p r o s e s DATA YG DIGUNAKAN
  36. 36. 36 +62
  37. 37. T e l k o m s e l m e r u p a k a n s a l a h s a t u m o b i l e o p e r a t o r y g m e m i l i k i k e s e r i u s a n t e r h a d a p B i g D a t a . M e r e k a m e l u n c u r k a n l a y a n a n B i g D a t a b e r n a m a M - S i g h t d i t a h u n 2 0 1 4 . L a y a n a n i n i m e r u p a k a n b a g i a n d a r i l a y a n a n i k l a n m o b i l e y g t e r u s a k a n g e n c a r d i t e n g a h t r e n p e r k e m b a n g a n b i s n i s d i g i t a l i n i . 37 BAGAIMANA DI INDONESIA?
  38. 38. TERIMA KASIH Y U D Y Y U N A R D Y + 6 2 8 1 1 9 7 7 5 9 5 y u d y.y u n a r d y @ g m a i l . c o m

×