The document discusses using social media analytics to compare discussions about gastronomy in Indonesia versus other countries like Thailand, Malaysia, and Vietnam. It provides an analysis of Twitter and Instagram data that offers insights into: 1) The global popularity and spread of Indonesian gastronomy compared to other countries. 2) International user engagement in conversations about different countries' gastronomy. 3) Visual presentations of gastronomy in Indonesia versus other countries. 4) Netizen comments on gastronomy from Indonesia and other countries.

1. SOCIAL MEDIA ANALYTICS
GASTRONOMI
INDONESIA
V.S. THAI, MALAY, DAN VIETNAM
Ismail Fahmi, Ph.D.
Director Media Kernels Indonesia (Drone Emprit)
Lecturer at the University of Islam Indonesia
Ismail.fahmi@gmail.com
LOKAKARYA LIPI
17 NOVEMBER 2020

2. 2
1992 – 1997 Undergraduate, Electrical Engineering, ITB, Indonesia
2003 – 2004 Master, Information Science, University of Groningen, NL
2004 – 2009 Doctor, Information Science, University of Groningen, NL
2009 – Now Engineer at Weborama (Paris/Amsterdam)
2014 – Now Founder PT. Media Kernels Indonesia, a Drone Emprit Company
2015 – Now Consultant at Perpustakaan Nasional, Inisiator Indonesia OneSearch
2017 – Now Lecturer at the IT Magister Program of the Universitas Islam Indonesia
Ismail Fahmi, S.T., M.A., Ph.D.
Ismail.fahmi@gmail.com

3. AGENDA
• Tentang Media Kernels
• Social Media
• Social Media dan Gastronomi
• Analisis Media Sosial (Drone Emprit): Gastronomi Indonesia vs Thai,
Malay, dan Vietnam
• Membangun Social Media Analytics untuk Gastronomi Indonesia
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4. TENTANG MEDIA KERNELS

5. SISTEM ‘AIS’ KOMINFO
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6. SOCIAL MEDIA ANALYTICS DI PIKOBAR
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Drone EmpritDrone Emprit Customized

7. WEST JAVA COMMAND CENTER
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Drone EmpritDrone Emprit Customized

8. DRONE EMPRIT CUSTOMIZED
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9. MEDIA SOSIAL

10. DATA GROWTH: UNSTRUCTURED DATA
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11. BIG DATA – BIG GROWTH
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12. 12

13. 13
MILLENIALGEN Z

14. SOCIAL MEDIA DAN GASTRONOMI

15. FOODS DI INSTAGRAM
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16. 16

17. 17

18. WHY F&B INDUSTRY NEEDS SOCIAL MEDIA
• The community on social
media are your largest
and most honest source
for feedback.
• Being at the forefront of
the food and beverage
industry requires online
marketing expertise.
• Two words: real-time
engagement.
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19. SOCIAL MEDIA IMPACT ON GASTRONOMY
• The food and beverage industry is
the most volatile sector, which is
affected by the slightest shift in
customer preferences and needs.
• Earlier people trusted advertisers,
then, they trusted people and relied
on the interactions that take place
on social media.
• Customers express their views and
concerns on social media.
• This makes social media powerful
enough to have the potential to
move commodities and change
prices.
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20. WHY GASTRONOMY INDUSTRY NEED SOCIAL
MEDIA ANALYTICS?
• The growing data-driven culture in the food and beverage
industry is helping to improve productivity. People are already
generating 2.5 quintillion bytes of data each day, and its analysis
is fostering growth.
• The needs of the food industry and the challenges they are
facing:
• Inability to gather vast data and make informed decisions.
• Inability to understand customer sentiments.
• Lacks consistent food quality.
• Road to success:
• Understand brand perception.
• Identify customer needs and fuel production ideation.
• Creative content strategy and campaigns.
• Optimize all your campaigns.
• Improve customer experience.
• Collaborate with influencers.
• Monitoring product launches.
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21. MAKE INFORMED DECISION
• Data analysis has a significant role to play in the
decision-making process.
• To expand the product line and reduce food
wastage, companies are bound to take a closer
look at the data so they can save resources.
• Data analytics have turned out to be useful in
keeping track of batch expiration dates for faster
processing, food temperature for safe storage, and
market trends to optimize inventories.
• It also helps to track surplus that can help to meet
the expectations of the growing demands of the
consumers and fill the gap.
• With the data analytics, the food and beverage
industry can handle supply chain disruptions and
stay ahead of any competition.
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22. SOCIAL MEDIA ANALYTIC UNTUK
INDUSTRI GASTRONOMI INDONESIA

23. ARSITEKTUR MEDIA KERNELS
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News Crawler
Twitter Crawler
Twitter Streaming
FB Page Crawler
Data Pipeline
Data
SOLR Indexer 1 SOLR Indexer 2 SOLR Indexer 3 SOLR Indexer 4
Hadoop Framework
Physical Hardware
Insight
DataIngest
Management&Queue
RealtimeJob
Processing
Google Custom
Search
Database Framework
ScheduledJob
Processing
Map Reduce
Sentiment
Analysis
Other
Processings
Data&Workflow
Management
Access
Visualization
Other sources
Analytics UI

24. MEDIA KERNELS FEATURES
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Trends
DASHBOARD
Comparison
Topic Map
NEWS PORTAL
Latest News
Media
ANALYTICS
News Sites
Page Ranks
Sentiment Analysis
PF-Chart
Engagement
Exposure
Retweets
TOPICS
Replies
Most Shared URLs
Most Shared Videos
Topic Map
Word Cloud
Impact
INFLUENCERS
Engagement
Reach
Most Engaged
Followers
Influencer Network
SNA
Topic Network
PR-Values
Reach
Hashtags Posts
Bubble Map
Twitter User Map
DEMOGRAPHY
User Locations
Edit Sentiments
MENTIONS
Training & Learning
Backtracking
Compare SNA
COMPARE
Compare Projects
Popularity vs
Favorability
Background Jobs
Upload Report
REPORTING
Download Report
User Management
ADMIN
Project Management
Client Management
Source Management
Label and Training
OPINION ANALYSIS
Opinion Chart
Insight Explorer

25. Data Lake
Keywords
KEYWORD + FILTER
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Twits
twit
twit
twit
Filters

26. FULL ARCHIVE (BERBAYAR)
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27. DATA IS EXPENSIVE
100 USD PER 50.000 TWEETS
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28. CONTOH: FREE TWITTER SEARCH
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History: 7 days
Start search
100% results

29. INSTAGRAM
• Tidak ada API
• Menggunakan Selenium
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30. ANALISIS MEDIA SOSIAL:
INDONESIA, THAI, MALAY, VIETNAM FOODS

31. PROJECT SETTING
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32. TREN 2 BULAN: FREE DATA, LENGKAP 7 HARI
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Data tidak lengkap lengkap
Indonesia
Thai
Vietnam
Malay
7 hari

33. TREN 7 HARI: THAI #1, INDONESIA #2
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Indonesia
Thai
Vietnam
Malay

34. VOLUME 7 HARI: THAI #1, INDONESIA #2
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35. SHARE OF VOICES: TWITTER VS IG
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Indonesia
Thai
Indonesia
Thai

36. SEBARAN LOKASI: INDONESIA JAGO KANDANG
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IndonesiaThai

37. THAI FOOD: LUAS SEBARANNYA
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38. INDONESIAN FOOD: KURANG DIKENAL LUAS
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39. SNA THAI FOOD: MASIF MENYEBAR USERNYA
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40. SNA INDONESIAN FOOD: TAK BANYAK YANG BERCAKAP
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41. THAI FOOD (IG): GOOD PACKAGING
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42. INDONESIAN FOOD (IG): LOCAL POSTINGS
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43. HASHTAGS THAI FOOD (IG)
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44. HASHTAGS INDONESIAN FOOD (IG)
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45. THAI FOOD (TWITTER): GOOD PACKAGING
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46. INDONESIAN FOOD (TWITTER): LOCAL POSTINGS
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47. HASHTAGS THAI FOOD (TWITTER)
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48. HASHTAGS INDONESIAN FOOD (TWITTER)
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49. TOP TWIT: THAI FOOD
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50. TOP TWIT: THAI FOOD /2
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51. TOP TWIT: INDONESIAN FOOD
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52. TOP TWIT: INDONESIAN FOOD /2
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53. TWITTER WORD CLOUDS: THAI FOOD
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54. TWITTER WORD CLOUDS: INDONESIAN FOOD
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55. EMOTION ANALYSIS: THAI FOOD
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Love Thai food

56. EMOTION ANALYSIS: INDONESIAN FOOD
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Banyak promo
Love Indonesian food

57. DISTRIBUSI USIA USER (TWITTER): THAI FOOD
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58. DISTRIBUSI USIA USER (TWITTER): INDONESIAN
FOOD
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59. TOP AKUN TWITTER: THAI FOOD
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60. TOP AKUN TWITTER: INDONESIAN FOOD
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61. SUMMARY
• Social media analytics dengan sumber Twitter dan Instagram bisa
digunakan untuk mengetahui percakapan di Internet (global) tentang
gastronomi Indonesia, misal tentang Indonesian Food, dibandingkan
dengan dari negara lain, misal Thai Food, Malaysian Food, dan
Vietnamese Food.
• Dari analisis di atas bisa diperoleh insight tentang:
• Sebaran popularitas gastronomi Indonesia di dunia
• Keterlibatan user internasional dalam percakapan (SNA)
• Visual gastronomi Indonesia vs negara lain
• Komentar netizen tentang gastronomi Indonesia dan negara lain
• Asosiasi gastronomi Indonesia terhadap berbagai topik (wordcloud,
hashtags)
• Analisis emosi netizen
• Demografi (sebaran kelompok usia)
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62. THANK YOU FOR LISTENING
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