Businesses adopt queuing mechanism as it can improve efficiency and provide economic use of
resources. Some business segment that normally adapted queuing theory include assessing staff
scheduling, productivity, performance, and customers waiting time. This article will adopt queuing
theory to current service provided by Department of Labour, Kuala Terengganu. As the department is
committed to provide quality services to its customer, the level of satisfaction and current queueing
time need to be investigated. To achieve this, four elements in queueing theory – arrival rate, the
queuing discipline, the service and also the cost structure are utilized. Arrival rate is measured as way
in which customer arrives at this department and entered for receiving a service. Single server queuing
model is known as infinite queue length model (exponential service) was used in this study. This model
is based on certain assumptions about queuing, as the arrivals are described by Poisson probability
distribution and arrive from infinite population. This study has demonstrated that, majority of the
customers are dissatisfied with services offered and the major cause of dissatisfaction is the long waiting
time. Sunday shows the busiest day at Department of Labour, Kuala Terengganu when there are too
many customers and duty officer faced a hectic day on Sunday, followed by Thursday and Wednesday.
Department of Labour, Kuala Terengganu needed to do the other internal procedures for reducing
waiting times and thus ensuring an effective services system. This study recommended of adding a new
checkout counter and hiring another employee to help duty officer improve the operation at Department
of Labour, Kuala Terengganu.
Balanced between good diet and regular physical activity is among the important factors in avoiding unhealthy weight gain. Our objective in this study was to investigate the amount of calorie loss against a variety of running exercises. In this study, an experiment on running as a calorie burning physical activities was conducted. Two factors were selected, the distance, and the level of difficulties. The result and statistical analysis concluded that both factors play significant roles in burning calories, with distance as being the most significant factor. The findings also suggest that other than increasing the distance, choosing a hilly terrain when training can give more efficient calories burn. There is no interaction between distance and the level of difficulties. Individuals should plan their workout accordingly only after knowing how many calories they burned through each activity. For individual with aims to burn more calories, an increase in distance and a hilly terrain is more favorable.
The prediction of rainfall on monthly and seasonal time scales is not only scientifically challenging but is also important for planning and devising agricultural strategies. In this paper, the study is conducted to examine the pattern of monthly rainfall in Alor Setar, Kedah within ten years which is from 2008 to 2018. This paper considered a model based on real data that obtained from Department of Meteorology Malaysia. This study indicates that the monthly rainfall in Alor Setar has a seasonal and trend pattern based on yt vs t plotting, autocorrelation function and Kruskal Wallis Test for seasonality. The examined rainfall time-series modelling approaches include Naïve Model, Decomposition Method, Holt-Winter’s and Box-Jenkins ARIMA. Multiplicative Decomposition Method was identified as the best model to forecast rainfall for the year of 2019 by analysing the previous ten-year’s data (2008-2018).As a result from the forecast of 2019, October is the wettest month with highest forecasted rainfall of 276.15mm while the driest month is in February with lowest forecasted rainfall of 50.55mm. The model is therefore adequate and appropriate to forecast future monthly rainfall values in the catchment which can help farmers to plan their farming activities ahead of time.
Flood mitigation and assessments are crucial in current time. The seasonal and nonseasonal of flood occurrence in Malaysia provide risk towards country growth and productivity. In this study, the flood pattern will be analysed by using correspondence analysis. The data involve the occurrence of flood based on month and locality from 2013 to 2018. The test of independence (χ2 test) between month and locality indicated independency among the variables (p=0.615). The symmetric plot suggested that Perak, Melaka, Selangor, Johor, Terengganu, Sarawak inclined to have flood occurrence during December to March, while Kedah and Penang during March. This analysis will help authorities to better planning flood mitigation accordingly.