Staff View: Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal

Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal

Nowadays people always read about criminal such as raping, killing, robbery and others especially among people who are have relationship with offender. Murder or rape is one of common criminal that people often heard in news because these numbers of cases are increase every day. In order to solve...

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Main Authors:	Mohamad Azman, Siti Nurfatihah, Amberi, Nor Emiliya Fatin, Mustappa Kamal, Nur Farah Amira
Format:	Student Project
Language:	English
Published:	2019
Subjects:	Study and teaching Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems
Online Access:	http://ir.uitm.edu.my/id/eprint/37322/1/37322.pdf http://ir.uitm.edu.my/id/eprint/37322/
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id	my.uitm.ir.37322
record_format	eprints
spelling	my.uitm.ir.373222020-11-23T13:20:35Z http://ir.uitm.edu.my/id/eprint/37322/ Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal Mohamad Azman, Siti Nurfatihah Amberi, Nor Emiliya Fatin Mustappa Kamal, Nur Farah Amira Study and teaching Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems Nowadays people always read about criminal such as raping, killing, robbery and others especially among people who are have relationship with offender. Murder or rape is one of common criminal that people often heard in news because these numbers of cases are increase every day. In order to solve the crime, forensic department and police will cope together. Additionally, there is a lack of research about victims and offender relationship when it comes to solving the crime and not all mathematical method can give the absolute answer to calculate the perpetrators profiling. The objectives of this research are to calculate the probability ofrelationship between victims and offender of the murder cases using Logistic Regression Model and to the determined whether the model is suitable to be used to analyze the data. In this research, there are two types of logistic regression that are use which are binomial and multinomial. For the binomial, there are two categories of dependent variable only and four categories of dependent variables for multinomial regression. The result from shows that the R 2 the model is less than 60 percent. Even though the R2 is not significant but there are a few tests that are significant such as Omnibus and Wald test. Therefore, this method is still valid to use to analyse the data set. For the recommendation data can be analyze by using other model such as Association Rule Mining (ARM) because ARM is one of the models that can show the relationship between data items and large data set in various type of database. 2019 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/37322/1/37322.pdf Mohamad Azman, Siti Nurfatihah and Amberi, Nor Emiliya Fatin and Mustappa Kamal, Nur Farah Amira (2019) Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal. [Student Project] (Unpublished)
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	Study and teaching Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems
spellingShingle	Study and teaching Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems Mohamad Azman, Siti Nurfatihah Amberi, Nor Emiliya Fatin Mustappa Kamal, Nur Farah Amira Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal
description	Nowadays people always read about criminal such as raping, killing, robbery and others especially among people who are have relationship with offender. Murder or rape is one of common criminal that people often heard in news because these numbers of cases are increase every day. In order to solve the crime, forensic department and police will cope together. Additionally, there is a lack of research about victims and offender relationship when it comes to solving the crime and not all mathematical method can give the absolute answer to calculate the perpetrators profiling. The objectives of this research are to calculate the probability ofrelationship between victims and offender of the murder cases using Logistic Regression Model and to the determined whether the model is suitable to be used to analyze the data. In this research, there are two types of logistic regression that are use which are binomial and multinomial. For the binomial, there are two categories of dependent variable only and four categories of dependent variables for multinomial regression. The result from shows that the R 2 the model is less than 60 percent. Even though the R2 is not significant but there are a few tests that are significant such as Omnibus and Wald test. Therefore, this method is still valid to use to analyse the data set. For the recommendation data can be analyze by using other model such as Association Rule Mining (ARM) because ARM is one of the models that can show the relationship between data items and large data set in various type of database.
format	Student Project
author	Mohamad Azman, Siti Nurfatihah Amberi, Nor Emiliya Fatin Mustappa Kamal, Nur Farah Amira
author_facet	Mohamad Azman, Siti Nurfatihah Amberi, Nor Emiliya Fatin Mustappa Kamal, Nur Farah Amira
author_sort	Mohamad Azman, Siti Nurfatihah
title	Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal
title_short	Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal
title_full	Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal
title_fullStr	Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal
title_full_unstemmed	Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal
title_sort	perpetrators profiling based on victims atributes using logistic regression model / siti nurfatihah mohamad azman, nor emiliya fatin amberi and nur farah amira mustappa kamal
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/37322/1/37322.pdf http://ir.uitm.edu.my/id/eprint/37322/
_version_	1685651504293216256
score	13.211869

Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal

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