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Globus : An International Journal of Management and IT

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1 PREFERENCE MODEL FOR THAI LEASING COMPANIES, Nachapong Jiamahasap, Sakgasem Ramingwong
In Thailand, the numbers of commercial and non commercial banks have increased which include leasing companies dramatically. Competition in the banking markets is severe. In this paper we concentrate only in Chinagmai province. So the purpose of this paper is to explore which factors are important for customer preference to use service.In this paper, 64 factors are categorized by market mixed (7P) Questionnaires are developed for survey. Neural network, a data mining tool, is used to develop framework for preference. For developing model, C# Programming is used. K fold validation is used to validation this model (90:10). The result of training model is 95%. The first model is called a preference model. It is used to predict if customer selects commercial banks, non commercial banks or leasing companies. When option is made, model would give information on the reasons. The result of prediction is 81%. The benefit of this model is to address the strategy to any provider satisfy customer preference.
This study was conducted to determine the relationship between personality dimensions and OJT performance of the BS Information Technology and BS Information Systems graduating students of a state university in the Philippines. Descriptive method of research was used. The participants of this study are the 73 Fourth Year BS Information Technology and 43 BS Information Systems students. A standardized questionnaire on The Five-Factor of Personality Dimensions Model as conceptualized by Costa and McCrae (1992) was used to determine the personality dimensions of the respondents. To determine the OJT Performance of the respondents, a questionnaire on OJT Performance Rating was used. The results of the study shows that the level of the personality dimensions of the respondents in the areas of Neuroticism, Extroversion, Openness to Experience, Agreeableness, Conscientiousness as a whole shows acceptable performance levels and when they are grouped according to course. The level of the OJT performance of the respondents when taken as a whole and when they are grouped according to course are all found to be above average performance levels. There is significant difference between each of the personality dimensions and OJT performance of the respondents when they are grouped according to course and OJT performance of the respondents.
The Code Breaking Approach in Automated Character Recognition is a system that tests the security of free social networking web site CAPTCHA images. It compares the efficiency and accuracy of two methods, the parts-based and segmentation which serve as a guide and also a basis for further studies in AI community. The researcher has employed both experimental and descriptive design by using online generated data samples which is used for gathering accuracy and efficiency result of parts-based and segmentation method. The findings shows that the over-all result in comparing the accuracy and efficiency of two methods have no significant difference using the file size range of a CAPTCHA image. On the other hand, the study still got efficient and accurate results which show that the system is reliable in testing the accuracy and efficiency in identifying image code using the two methods. Therefore, the actual implementation of the Code Breaking Approach in Automated Character Recognition shall be recommended to be used in improving internet security, especially in free email services and social networking websites that provides security and authentication to its user.