Visualisasi Kualitas Penyebaran Informasi Gempa Bumi di Indonesia Menggunakan Twitter

  • Mira Chandra Kirana Politeknik Negeri Batam
  • Nanda Putra Perkasa Politeknik Negeri Batam
  • Muhammad Zainuddin Lubis Politeknik Negeri Batam
  • Maidel Fani Politeknik Negeri Batam
Keywords: gempa bumi, visualisasi, penyebaran informasi, kualitas informasi


Indonesia is one country with a high level of natural disasters, such as earthquakes, so the dissemination of information about early warning is very important.. Social media Twitter became one of the places of broadcasting information about earthquake disaster early instruction in Indonesia through BMKG account. However, the quality of information from Twitter's social media is unknown, therefore visualization is made to analyze the quality of information with Twitter social media. This research is done in three stages: retrieving, preprocessing and visualization. Retrieval process to capture BMKG Tweet account data on Twitter. Preprocessing phase of work to get the results of the analysis of the quality of earthquake information. After that done data processing timeliness, relevance, completeness of data along with the accuracy of data created based on graphical visualization information.


Download data is not yet available.


Pusdalops (2016) Ring of Fire. [Online]. Tersedia: pasifik (diakses 8 Maret 2018)

A. T. Chatfield and U. Brajawidagda, “Twitter early tsunami warning system: A case study in Indonesia’s natural disaster management,” in 2013 46th Hawaii International Conference on System Sciences, 2013, pp. 2050–2060.

D. E. Kurniawan, and A. Fatulloh, "Clustering of Social Conditions in Batam, Indonesia Using K-Means Algorithm and Geographic Information System," International Journal of Earth Sciences and Engineering (IJEE) 2017, Vol.10 No.05

R. Mareta, A. D. Rahmaningsih, and R. D. Firmansyah, “Pendeteksi Ketinggian Air Interaktif Dengan Aplikasi Telegram Berbasis Raspberry Pi,” JST (Jurnal Sains dan Teknol., vol. 6, no. 2, pp. 279–289, 2017.. 2012

E. M. G. Younis, “Sentiment analysis and text mining for social media microblogs using open source tools: an empirical study,” Int. J. Comput. Appl., vol. 112, no. 5, 2015.

B. W. Santoso, F. Sundawa, and M. Azhari, “Implementasi Algoritma Brute Force Sebagai Mesin Pencari (Search Engine) Berbasis Web Pada Database,” J. Sisfotek Glob., vol. 6, no. 1, 2016.

J. O’brien and G. Marakas, Introduction to information systems. McGraw-Hill, Inc., 2009.

R. McLeod and G. Schell, Sistem informasi manajemen. Indeks, 2004. Terjemahan oleh Ali Akbar Yulianto dan Afia R. Fitriati, Salemba Empat, Jakarta 2008

How to Cite
M. Kirana, N. Perkasa, M. Lubis, and M. Fani, “Visualisasi Kualitas Penyebaran Informasi Gempa Bumi di Indonesia Menggunakan Twitter”, JAIC, vol. 3, no. 1, pp. 23-32, May 2019.

Most read articles by the same author(s)

1 2 > >>