Visualisasi Penyebaran Informasi Badan Meteorologi, Klimatologi Dan Geofisika Di Twitter
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Date
2016-10-20
Authors
Amir, Amir
Journal Title
Journal ISSN
Volume Title
Publisher
Politeknik Negeri Batam
Abstract
Indonesia is a country with high rate of natural disaster, so any information about
early warning of natural disaster are very important. Social media such as Twitter
become one of tools for spreading information about natural disaster warning from
BMKG account, therefore, the effectivity of this kind of method for providing
information have not known yet. For this reason, a visualization is needed to
analyze the information spread of natural disaster early warning with Twitter.
This study is performed in 3 steps, which is retrieving, preprocessing then
visualization. Retrieving process is used to get the tweet data of BMKG account in
twitter then save into database, while preprocessing is done to process tweet data
that has been saved in database by grouping the data according to the category,
which includes Meteorology, Climatology, and Geophysics acccording to existing
keyword, also reduce tweet data that is unimportant like BMKG's reply tweet
toward other user's question. Visualization stage uses the result of preprocessing
data into line chart graphic, bar chart and donut chart. Highest information
spreading from BMKG tweet happened in Geophysics at March with 25.987
retweets, while the highest peak happened at 2 March 2016 with information about
8.3 SR earthquake in Mentawai islands, West Sumatera with total of 6145 retweets.
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Keywords
Teknik Informatika, Informatika, BMKG