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The Use of Fuzzy Logic in Reducing the Rate of<br />

Juvenile Delinquency at Terengganu<br />

Nur Alya Syuhada Binti Mohd Riduan<br />

Supervisor: Assoc. Prof. Dr. Abdul Fatah Bin Wahab<br />

Bachelor of Science (Computational Mathematics)<br />

School of Informatics and Applied Mathematics<br />

The purpose of this study was to identify factors that contributed to the rising rate of<br />

juvenile delinquency and to predict the effectiveness in using fuzzy logic for reducing<br />

crime rates among the teenagers. There are 150 randomly selected respondents among<br />

Terengganu’s people to answer the questionnaire. The questionnaire was divided into<br />

two parts where Part A is about the background of the respondents and Part B need<br />

respondent’s responses for the factor that contribute the juvenile. There are five factors<br />

that have been studied such as family factor, peer, education, economic and<br />

environmental. SPSS (Statistical Packages for Social Science) and MATLAB are used to<br />

process and analyze the data obtained. The results of this study show that economy<br />

factor is the factor that makes the rate of juvenile delinquency increase. Lastly, the<br />

responsible party must make faster move to solve the problem in juvenile delinquency.<br />

975 | UMT UNDERGRADUATE RESEARCH DAY 2018

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