TAILED DISTRIBUTION ANALYSIS TO TIME BETWEEN REPORTING (Case Study: CYBER CRIME REPORTING IN BANDUNG CITY)

• Main Author: Amalia Maresti, Fatia
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/39145
• Institution: Institut Teknologi Bandung

Violations that occur a lot in Indonesia are cybercrime. Research about the timing of crime and report of cyber crime is useful for police recommendations in conducting investigations. In this Final Project, the crime data used is the reporting of cyber crime in the West Java Regional Police with the scope of the crime of Bandung City in 2017. From the time reporting data and the time of cyber crime, time between reporting (TBR) and the time between crime and reporting (TBCR) can be obtained. Then build TBR distribution model for complete data and TBR that corresponds to the TBCR outlier datum. Next do goodness of fit test with the chi-square test. TBR distribution has an outlier value causing its distribution to have a heavy tail. So that do data identification with a heavy or light tail. The rate of reporting that is not constant indicates that the number of reporting follows a non-homogeneous Poisson process. Next, build a TBCR distribution model for data without outliers and explain the characteristics of the TBCR obtained. From this time analysis, several recommendations were obtained for the police is regarding the pattern of reporting and the length of time between crime and reporting.