Campus traffic congestion is a common occurrence because of the factorial increase in enrolment every year. Universities in the Klang Valley, Selangor, Malaysia have to adjust to the situation to appease the stakeholders, in particular the students. With affluent times, many students have their own private vehicle which they drive or ride to school. However, most public universities bar students' vehicles from campus if they were given on-campus housing and on-campus transport is available. In the case of Universiti Teknologi MARA, due to the limited number of dormitories, many students rent out. Consequently, they drive their own vehicles to class or for lesser-affluent ones, the buses and taxis are the popular choice to commute. Thus, the influx of these vehicles is the main cause of traffic congestion. This issue continues to be debatable between the university administrators, the staff and the students. Also, the limited number of parking spaces aggravates the situation, hence, the need to plan for an efficient and effective bus system-the campus hybrid transportation system. In doing so, it is important to get the bus passenger's feedbacks on the current transport services provided. In this case, the units of analysis are the students which form the majority of the bus passengers. Thus, this paper reports the pilot survey on student satisfaction with the campus bus service at the main campus. Through a cross-sectional design, 78 completed responses were analyzed where 28.2% indicated dissatisfaction with the current bus service. Furthermore, the comments from the respondents provided further evidence that the transportation system on campus has to be reformed. The paper concludes with suggestions for a hybrid transportation system planning, implementation and policy that would guide the success of the project for all stakeholders.

This paper presents implementation of Root Raised Cosine (RRC) filter at transmitter of 3G-WCOMA wireless communication by using VHOL programming language on Field Programm able Logic Array (FPGA). The main objective of this project is to reduce the inter-symbol interference (lSI) which will affect the bandwidth required for transmission the data. MATLAB 7.0 is used to design RRC filter for generating filter coefficient and checking its functionality in WOCMA transmitter. Then RRC filter coding is generated by VHOL in XILINX application and being verified in Model Sim SE 6.3f before it being synthesized using Xilinx ISE Simulator. All the results produced will be verified for make a comparison.Ktywords-Pulse Shaping, Inter-symbol Interference, RRC Filter, Roll off Factor.

In today's world, the fast-food restaurant has become a popular sort of eatery. The fast-food industry's expansion is always changing in response to customer requests in order to meet their needs. As a result, clients have a wide range of fast-food restaurants to choose from in order to satiate their hunger. Clients' contentment with restaurants will influence not just the image of the establishments, but also the services offered by their employees as they strive to entertain and deliver the best possible service to their paying customers. However, the competition between the restaurants have caused certain restaurants to gain lower profits as the customers’ satisfaction is not fulfilled for certain factors. Price, food quality, service quality, restaurant atmosphere, promotion, customer expectations, and brand are all elements to consider. This study was conducted to analyse the importance of factors in customer satisfaction in a fast-food restaurant in Perlis. In this study, the method applied is the Fuzzy Analytical Hierarchy Process (AHP) to rank the factors that have a high impact on customer satisfaction. The selected fast-food restaurants were McDonald (McD), Kentucky Fried Chicken (KFC), Pizza Hut, Domino’s Pizza, Marrybrown, and Subway. The primary data collected through the questionnaire were analysed by experts, the manager of the fast-food restaurant selected. The findings show that in a fast-food restaurant, the quality of service with 0.2188 of normalized weight is the most important factor in customer satisfaction, and the price with 0.0436 of normalized weight is the least significant. The role of the manager and the staffs were thus evidently more important in customer satisfaction than the price offered.