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The socioeconomic status plays an important role influencing drug addiction in this region. Evaluation of education level and occupation of drug addict factors were undertaken to understand the correlation of socioeconomic factors with drug addiction in Terengganu. Three clusters have been formed after analysis based on education level. The first cluster was formed namely lower drug addicted person, the second cluster namely moderate drug addicted person and the third cluster contributing to the highest number of drug-addicted people in Terengganu namely highest drug addicted person. While the occupation of a drug addicted person classified into three clusters as well. Further analysis using discriminant analysis for education level and type of occupation was determined, and the correlation between the level of education and type of occupation drug addicted person could be ascertained. Primary school had the lowest p-value, same goes for the agriculture. This study has revealed the factors towards the phenomena of drug addiction in the region and offering information to stakeholders involved. By investigating and a better understanding of the relationship between a drug addict and socioeconomic status, the drug addiction control and regulation can be done to eradicate this problem.

Substance abuse problems have been a growing concern for people from all over the world. The objective of this study is to demonstrate the usefulness of a combination between a geographic information system and a multivariate analysis However, due to the limited studies on a combination of both these methods in the substance abuse field, we review some other studies in various fields indicating the potential of this method in future substance abuse studies. the multivariate analysis lies in results very well, we hope this method will attract researchers to applying it in their studies and can consequently and indirectly help in combating substance abuse problems

Substance abuse has a close association with health and social problems. This study demonstrates the usefulness of multivariate statistical analysis in substance abuse studies. Applying multivariate analyses such as the factor analysis, principal component cluster analysis and discriminant analysis in other studies gives a view on how this method can be applied in the substance abuse field. To date, there are limited studies on applying this powerful method in this study. However, looking forward analysis on handling and interpreting the complexity of the data, some potential goals that can be achieved in substance abuse study can be highlighted.