Investigating the factors of committing crime by foreign workers using fuzzy techniques / Norwaziah Mahmud ... [et al.]

Mahmud, Norwaziah and Maslin, Nur Aisyah and Jamaluddin, Siti Hafawati and Muhammat Pazil, Nur Syuhada (2022) Investigating the factors of committing crime by foreign workers using fuzzy techniques / Norwaziah Mahmud ... [et al.]. Journal of Computing Research and Innovation (JCRINN), 7 (1): 2. pp. 15-28. ISSN 2600-8793

Abstract

Criminal activities have a huge detrimental impact on society and the country. Foreign workers are among the contributors to the crime rate in Malaysia. Crime rate will not decrease if the factors that influence foreign workers to commit crimes remain unclear and unexplored. Many factors are affecting the foreign workers to commit crime. This research aims to determine the ranking for the factors of committing crimes by foreign workers. The Fuzzy Technique for Order Preference with Similarity to Ideal Solution (TOPSIS) was applied to rank the factors. The alternative of this research is the factors of committing crimes by foreign workers, which are lack of facilities, poverty, wage discrimination, fraud by employment agents, alcohol and drug abuse, and poor education level. The criteria chosen are ex-criminal, desperate individual, legal immigrant and illegal immigrant. Three decision-makers which are police officers must assess the factors in this research using linguistic variables ranging from "very poor" to "very good". The alternatives that would be chosen have the shortest distance to Positive Ideal Solution (PIS) and the farthest distance to Negative Ideal Solution (NIS). Finally, this study demonstrates that the highest ranking for the factors of committing crime by foreign workers is wage discrimination with a closeness coefficient value of 0.5305. The minor contributing factor with a closeness coefficient value of 0.2744 comes from poverty. Many personnel may benefit from the findings of this study. This study provides information about the factors of committing crime most associated with foreign workers, allowing employers to be aware of the risk they come with. This requires them to be more responsive to their employees, such as monitoring employee movement to track their daily activities (e.g., installing security cameras the housing facilities). Besides, employers should fairly deal with their employees and keep the workforce motivated to avoid criminal cases. A future study might broaden the scope of the project by including various sorts of criteria and alternatives.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mahmud, Norwaziah
norwaziah@uitm.edu.my
Maslin, Nur Aisyah
UNSPECIFIED
Jamaluddin, Siti Hafawati
UNSPECIFIED
Muhammat Pazil, Nur Syuhada
UNSPECIFIED
Subjects: H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology > Crimes and criminal classes
Q Science > QA Mathematics > Mathematical statistics. Probabilities > Decision theory > Fuzzy decision making
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus
Journal or Publication Title: Journal of Computing Research and Innovation (JCRINN)
UiTM Journal Collections: UiTM Journal > Journal of Computing Research and Innovation (JCRINN)
ISSN: 2600-8793
Volume: 7
Number: 1
Page Range: pp. 15-28
Keywords: Foreign worker, crime, TOPSIS, multi-attribute decision making
Date: 2022
URI: https://ir.uitm.edu.my/id/eprint/60636
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