@thesis{thesis,
		author={Luthfi  Qory Rahmani Susanto},
		title ={Penerapan Metode National Institute Of Justice Dalam Perolehan Bukti Digital Cyberbullying pada Komentar Facebook dengan Klasifikasi Naive Bayes},
		year={2021},
		url={https://repository.ittelkom-pwt.ac.id/6435/},
		abstract={One of the positive impacts of the development of social media is that it is used to exchange information and communicate over long distances. However, this development also has negative impacts such as the use of social media for crime (cybercrime). The crime that is often committed is cyberbullying, one of which is on the social media Facebook. Any crime committed on social media can leave a digital footprint. To find out digital traces of the crime, it is cyberbullying done using a forensic investigation. This study aims to identify cases of cyberbullying and obtain digital evidence based on comments on Facebook. The discussion in this study describes the stages of investigating cases of cyberbullying and implementing the Naïve Bayes classification algorithm. The investigative method used is the National Institute of Justice (NIJ) with the stages of identification, collection, examination, analysis, and reporting which can obtain digital evidence, and produces a Naïve Bayes accuracy value of 75.25%, and accuracy testing using the Confusion Matrix produces a value. the precision of 82.55%, and value recall of 45.80%. 
Keywords: cyberbullying, digital forensic, facebook, National Institute of Justice (NIJ)}
		}