Visualization of Information Based on Tweets from Meteorological, Climatological, and Geophysical Agency: BMKG

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 account of Meteorology, Climatology and Geophysics Agency (BMKG), therefore, the effectiveness of this kind of method for providing information have not known yet. The statement becomes the reason that the 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 according 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 pie chart. Highest information spreading from BMKG tweet happened in Geophysics at March with 25987 re-tweets, while the highest peak happened at 2 March 2016 with information about 8.3 SR earth quake in Mentawai islands, West Sumatera with total of 6145 re-tweets, dengan totl 6145 re-tweets. Abstrak  Indonesia adalah sebuah negara dengan tingkat bencana alam yang tinggi, sehingga setiap informasi tentang peringatan dini bencana alam sangat penting. Media sosial seperti Twitter menjadi salah satu media untuk menyebarkan informasi yang berasal dari Badan Meteorologi Klimatologi dan Geofisika (BMKG), oleh karena itu keefektifan metode semacam ini untuk memberikan informasi belum dapat diketahui. Alasan tersebut menjadi alasan bahwa penyebaran peringatan bencana alam dengan twitter. Penelitian ini dilakukan melalui tiga tahapan, yaitu retrieving, preprocessing, kemudian visualization. Proses retrieving dilakukan untuk mendapatkan data tweet dari akun BMKG di twitter kemudian disimpan dalam database, sedangkan preprocessing dilakukan untuk mengolah data tweet yang telah disimpan dalam database dengan mengelompokan data sesuai dengan kategori, yang meliputi meteorologi, klimtologi, dan geofisika menurut kata kunci yang ada, serta mengurangi data tweet yang tidak penting seperti tweet balasan BMKG ke pertanyaan pengguna lain. Tahap visualisasi menggunakan hasil preprocessing data menjadi grafik charts, bar charts dan pie charts. Penyebaran informasi tertinggi dari tweet BMKG terjadi di Geophysics pada bullan Maret dengan 25987 re-twwets

Twitter Media Platform to Set-Up Political Branding: Analyzing @Kiyai_Marufamin in 2019 Presidential Election Campaign

“…Furthermore, politically, the politicians use social networks especially Twitter to interact and utilize several of the online media to campaign for politics which is consider to have very significant potential to increase a framing of their politicians (Fatanti, 2014). The results of a review in 2018, Twitter became one of the most popular social media in Indonesia which has more than 19.5 million of the world's most significant users (Chandra Kirana, Amir, & Nashrullah, 2018), it believed that Twitter platform is one of the latest news and information reference that trending topics, which is a politician is no exception (Pond & Lewis, 2019). Therefore, Twitter is a news and information guide that turns into a popular subject for digital native (Supratman, 2018).…”