International Journal of Academic Information Systems Research (IJAISR)   Year: 2020 | Volume: 4 | Issue: 6 | Page No.: 1-6 Visualization of Big Data in Terrorism Using Elasticsearch, Logstash, Kibana (ELK) Stack Eko Handoyo, Maman Somantri, Agung Nugroho, Hermawan, Aris Triwiyatno, Sukiswo, Yuli Christiyono, Bambang Winardi, Susatyo Handoko, Yosua Alvin Adi Soetrisno Abstract: Field of information technology is developing so rapidly, as well as in terms of data processing. The amount of data available and stored (both at the global level) is almost unimaginable in number. The data will continue to grow without stopping. This means that big data has high potential to gather insights from business information. Unfortunately until now, only a small portion of the data has been analyzed. Big data in business is a good strategy in processing raw information into profits that continue to flow to business organizations every day. Data processing is demanded to be faster and visualized so well that big data can be useful and easily understood by its users. One of them is by using the ELK (Elasticsearch, Logstash, Kibana) stack. In the environment of PT. Bumi Manunggal Sinergi, in terms of visualizing big data, the use of the ELK method becomes very useful, a variety of varied and interesting visualization choices makes processing big data easier.