Recently, the mobile service providers have been growing rapidly in Malaysia. In this paper, we propose analytical method to find best telecommunication provider by visualizing their performance among telecommunication service providers in Malaysia, i.e. TM Berhad, Celcom, Maxis, U-Mobile, etc. This paperuses data mining technique to evaluate the performanceof telecommunication service providers using their customers feedback from Twitter Inc. It demonstrates on how the system could process and then interpret the big data into a simple graph or visualization format. In addition, build a computerized tool and recommend data analytic model based on the collected result. From prepping the data for pre-processing until conducting analysis, this project is focusing on the process of data science itself where Cross Industry Standard Process for Data Mining (CRISP-DM) methodology will be used as a reference. The analysis was developed by using R language and R Studio packages. From the result, it shows that Telco 4 is the best as it received highest positive scores from the tweet data. In contrast, Telco 3 should improve their performance as having less positive feedback from their customers via tweet data. This project bring insights of how the telecommunication industries can analyze tweet data from their customers. Malaysia telecommunication industry will get the benefit by improving their customer satisfaction and business growth. Besides, it will give the awareness to the telecommunication user of updated review from other users.

The research is to determine the important factors of Student Admission Application System for Malaysian Certificate of Education (SPM) graduates in Malacca. The research found a few dependent variable that have connections with an independent variable. The dependent variables are types of Higher Education, programme courses, the ease of the system's usage and institutions choices. The independent variables are linked to the dependent variable which is the factors of usage of Student Admission Application System that specifically for Malacca people. A few researches are made to be the reference of this research to ease researcher to find the result of this paper. The results are positive. All variables does have a significant relationship with the independent variable. The result showed and proved the hypothesis of this research. Finally, this paper stated a few obstacles and a few proposals for improvement that are to be made by next researchers.