DESIGN OF DATA MINING METHOD IN MAKING INTELLIGENT RESULTS REPORT TO PREVENT CRIMINAL ACTS OF TERRORISM IN THE SEMARANG IMMIGRATION OFFICE

Y. Prasetyo, Politeknik Imigrasi
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Abstract

The events of September 11 in the United States changed the world's understanding of terrorism. Terrorism is now understood as a transnational event. Countries in the world are trying to ratify legal instruments on the prevention and suppression of terrorism. Indonesia as a country that requires income from international migration events requires immigration to play an active role in preventing terrorism. With the rapid development of technology, data mining techniques on social media can be utilized to carry out cyber intelligence. This study aims to determine data mining techniques on social media twitter to prevent terrorism. This research uses descriptive qualitative research methods with the help of the socio-psychological narcissistic theory, intelligence, and data mining. The analysis was performed using data reduction techniques. This study will explain how data mining techniques on social media can be used to create immigration intelligence reports. This research is expected to be applied to the making of daily intelligence reports at the Semarang Immigration Office.  
数据挖掘方法在三宝垄移民局预防恐怖主义犯罪行为智能结果报告中的设计
发生在美国的9·11事件改变了世界对恐怖主义的认识。恐怖主义现在被理解为一种跨国事件。世界各国正在努力批准关于防止和制止恐怖主义的法律文书。印度尼西亚作为一个需要从国际移民事件中获得收入的国家,要求移民在防止恐怖主义方面发挥积极作用。随着科技的飞速发展,社交媒体上的数据挖掘技术可以用来进行网络智能。本研究旨在确定社交媒体twitter上的数据挖掘技术,以防止恐怖主义。本研究采用描述性定性研究方法,结合社会心理学自恋理论、智力和数据挖掘。使用数据简化技术进行分析。本研究将解释如何使用社交媒体上的数据挖掘技术来创建移民情报报告。这项研究预计将应用于三宝垄移民局的每日情报报告。
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