Malina Zulkifli

Development of car theft crime index in peninsular Malaysia

Vehicle theft is classified as property crime and is considered as the most frequently reported crime in Malaysia. The rising number of vehicle thefts requires proper control by relevant authorities, especially through planning and implementation of strategic and effective measures. Nevertheless, the effort to control this crime would be much easier if there is an indication or index which is more specific to vehicle theft. This study aims to build an index crime which is specific to vehicle theft. The development of vehicle theft index proposed in this study requires three main steps; the first involves identification of criteria related to vehicle theft, the second requires calculation of degrees of importance, or weighting criteria, which involves application of correlation and entropy methods, and the final involves building of vehicle theft index using method of linear combination, or weighted arithmetic average. The results show that the two methods used for determining weights of vehicle theft inde...

Modeling the number of car theft using Poisson regression

Regression analysis is the most popular statistical methods used to express the relationship between the variables of response with the covariates. The aim of this paper is to evaluate the factors that influence the number of car theft using Poisson regression model. This paper will focus on the number of car thefts that occurred in districts in Peninsular Malaysia. There are two groups of factor that have been considered, namely district descriptive factors and socio and demographic factors. The result of the study showed that Bumiputera composition, Chinese composition, Other ethnic composition, foreign migration, number of residence with the age between 25 to 64, number of employed person and number of unemployed person are the most influence factors that affect the car theft cases. These information are very useful for the law enforcement department, insurance company and car owners in order to reduce and limiting the car theft cases in Peninsular Malaysia.

An application of importance satisfaction analysis (ISA) method in improving the internship programme for Malaysia Higher Learning Institution

Nowadays most of the university students are required to undergo internship as a requirement before graduation. Internship is very important for students to practice what they have learned in the classroom. During internship students are exposed to the actual situation of how to deal with customers and suppliers which can provide added value to the students. In the choice of company for internship, students also consider a number of things such as internship allowances, work environment, interesting work, stable work shift and other fridge benefits. Study on the importance and satisfaction of students is important to improve the internship program. Importance means how students feel important to the attributes and satisfaction means how students feel after undergoing internship. The aim of this study is to investigate the gaps between students’ important and satisfaction on the internship programme and to identify the internship experience factors that need to be improved. Gap analysis has been used to sh...

Performance of fuzzy approach in Malaysia short-term electricity load forecasting

Many activities such as economic, education and manafucturing would paralyse with limited supply of electricity but surplus contribute to high operating cost. Therefore electricity load forecasting is important in order to avoid shortage or excess. Previous finding showed festive celebration has effect on short-term electricity load forecasting. Being a multi culture country Malaysia has many major festive celebrations such as Eidul Fitri, Chinese New Year and Deepavali but they are moving holidays due to non-fixed dates on the Gregorian calendar. This study emphasis on the performance of fuzzy approach in forecasting electricity load when considering the presence of moving holidays. Autoregressive Distributed Lag model was estimated using simulated data by including model simplification concept (manual or automatic), day types (weekdays or weekend), public holidays and lags of electricity load. The result indicated that day types, public holidays and several lags of electricity load were significant in t...