Survey on Kuala Lumpur to Singapore High-Speed Rail (KL-SG HSR) Project among Pagoh Residents

The Kuala Lumpur to Singapore high-speed rail (KL-SG HSR) project is the first HSR that will be built in Malaysia. This project aim is to facilitate the journey between Malaysia and Singapore. The total length of the KL-SG HSR project is 350 kilometers, it covers 335 kilometers in Malaysia and 15 kilometers in Singapore which can shorten the traveling time between Malaysia and Singapore within 90 minutes compared to four or five hours taken currently by road, seven hours by classic rail service or three hours by air transport. The issues about the HSR project started after the 14th general election when Tun Dr. Mahathir said that this project was not necessary and could be scrapped. After two weeks later, Tun Dr. Mahathir Mohamad clarified that this HSR project was not being scrapped but merely postponed for a few years. Because of this situation, it is crucial to get public opinion and reaction regarding this issue. The study focuses on the public's opinion toward the HSR project among Pagoh residents. Pagoh is selected because, in the planning of this HSR project, there will be a station to be developed in Pagoh. This study determines the awareness of Pagoh residents on the HSR project, identifies the most important source they get the information about the HSR project, and studies their opinion about the implementation of HSR project according to the general scope of HSR, economy, and the future expectation of the project. The data collected using questionnaires distributed online and by face to face. The methods used to analyze the survey data are the Pareto analysis, Chi-Squared, Cramer's V, and Mann-Whitney U test. 263 respondents participated in this study and the results found that the majority of the respondents are aware of the HSR project, but they still have lack knowledge and information about the project. Television is the most important source for the respondents getting information on the HSR project and most of the respondents have positive responses toward the HSR project

Survey on awareness and understanding on goods and services tax

The purpose of this study is to determine the level of public awareness on the implementation of good and services tax (GST) and public understanding on issues of GST. The data was collected from citizens in Parit Raja, Batu Pahat. The methods applied for this study are descriptive statistics, Chi-square test, Cramer’s Contingency Coefficient test and Kruskal-Wallis test. The results from this study show that majority of the respondents, aware about the GST but their understanding about GST is low

Network topology of people NEWS

The new method in a survey on public opinion called People NEWS will be highlighted. The application of NEWS which stand for needs, expectations, wants and satisfaction will be highlighted in the process of air travel in Malaysia. The passenger’s opinions according to their NEWS from the first stage process at the departure airport until the final process at the arrival airport will be discussed based on their network topology. The information from the NEWS network can be filtered by using the minimal spanning tree and the description about the behaviour of the network can be explained by using centrality measures. Some important results and recommendations based on passenger’s NEWS for Malaysian commercial flights will be highlighted

Multidimensional Minimal Spanning Tree: The Bursa Malaysia

The stock market has constituted a complex system since the interrelationships among the stocks are complicated and unpredictable. Moreover, the stock price does not stagnate at a certain price all the time but the price keeps changing from minute to minute during the transaction hours. Thus, it is quite difficult to indicate which stock influences the performances of other stocks as well as the behaviours of the stocks in a network. The economic information might be misleading and incomplete if the analysis applies with univariate time series of stock price only as each stock is represented by four features of the price. To obtain the complete information of the Bursa Malaysia stock network as well as the interrelationships among the stocks, multivariate time series of stocks are measured by using RV coefficient. Besides, minimum spanning tree and centrality measures are applied in this paper in order to construct the stock network virtually and determine the behaviours of the stocks by using the recent data of top 100 stocks in Bursa Malaysia

Multidimensional minimal spanning tree: the bursa Malaysia

The stock market has constituted a complex system since the interrelationships among the stocks are complicated and unpredictable. Moreover, the stock price does not stagnate at a certain price all the time but the price keeps changing from minute to minute during the transaction hours. Thus, it is quite difficult to indicate which stock influences the performances of other stocks as well as the behaviours of the stocks in a network. The economic information might be misleading and incomplete if the analysis applies with univariate time series of stock price only as each stock is represented by four features of the price. To obtain the complete information of the Bursa Malaysia stock network as well as the interrelationships among the stocks, multivariate time series of stocks are measured by using RV coefficient. Besides, minimum spanning tree and centrality measures are applied in this paper in order to construct the stock network virtually and determine the behaviours of the stocks by using the recent data of top 100 stocks in Bursa Malaysia

Behaviours of Bursa Malaysia: a multidimensional network analysis

In current practice, the similarities between two or more univariate time series of stocks are determined by using the Pearson correlation coefficient (PCC). However, the economic information might be misleading if the analysis applies only the univariate time series of stock price, as each stock is denoted by four types of prices. Therefore, multidimensional of stocks are taken into account in this paper. The similarities between two or more multi-dimensional of stocks are quantified by using Random Vector (RV) coefficient. Additionally, an algorithm is proposed due to the computational of RV coefficient is tedious and time-consuming when a large number of stocks are included. In this paper, the Malaysian stock network analysis in univariate and multivariate setting are conducted and analysed by using the PCC, RV coefficient, forest of all possible MSTs and centrality measures. In summary, there is some important economic information could not be brought out by univariate network analysis alone

Monitoring Variability in Complex Manufacturing Process: Data Analysis Viewpoint with Application

To relate the control limits of Shewhart-type chart to the p-value, the control charting techniques were constructed based on statistical inference scheme. However, in daily practice of complex process variability (CPV) monitoring operation, these limits have nothing to do with the p-value. We cannot put any number to p. Instead, p is just read as “most probablyâ€. These words mean that in practice we are finally working under data analysis scheme instead. For this reason, in this paper we introduce the application of STATIS in CPV monitoring operation. It is a data analysis method to label the sample(s) where anomalous covariance structure occurs. This method is algebraic in nature and dominated by principal component analysis (PCA) principles. The relative position of a covariance matrix among others is visually presented along the first two eigenvalues of the so-called “scalar product matrix among covariance matricesâ€. Its strength will be illustrated by using a real industrial example and the results, compared with those given by the current methods, are very promising. Additionally, root causes analysis is also provided. However, since STATIS is a PCA-like, it does not provide any control chart, i.e., the history of process performance. It is to label the anomalous sample(s). To the knowledge of the authors, the application of STATIS in complex statistical process control is an unprecedented. Thus, it will enrich the literature of this field

PLUS highway network analysis: case of in-coming traffic burden in 2013

PLUS highway is the largest concessionary in Malaysia. The study on PLUS highway development, in order to overcome the demand for efficient road transportation, is crucial. If the highways have better interconnected network, it will help the economic activities such as trade to increase. If economic activities are increasing, the benefit will come to the people and state. In its turn, it will help the leaders to plan and conduct national development program. In this paper, network analysis approach will be used to study the in-coming traffic burden during the year of 2013. The highway network linking all the toll plazas is a dynamic network. The objective of this study is to learn and understand about highway network in terms of the in-coming traffic burden entering to each toll plazas along PLUS highway. For this purpose, the filtered network topology based on the forest of all possible minimum spanning trees is used. The in-coming traffic burden of a city is represented by the number of cars passing through the corresponding toll plaza. To interpret the filtered network, centrality measures such as degree centrality, betweenness centrality, closeness centrality, eigenvector centrality are used. An overall centrality will be proposed if those four measures are assumed to have the same role. Based on the results, some suggestions and recommendations for PLUS highway network development will be delivered to PLUS highway management

The most important centrality measures in plus highway traffic network: an approach based on effective variance

.Highway network is important to most developing countries. With the increase of traffic burden on highway network, it can be a benchmark for these developing countries to measure their level of development. It is hard to analyze the highway traffic network since it comes from a complex network. This network connected all toll plazas and comes out with thedynamic network. In this study, we will learn to understand the PLUS highway traffic network. The information in the network topology of PLUS highway network can be filtered with the application of minimum spanning trees (MST). The network topology will be based on in-coming and out-coming traffic burden from 2009 until 2013. The in�coming and out-coming traffic burden of each toll plazas are referredonthe total number of vehicles thatcome in and out over the corresponding toll plazas. Centrality measures are used to interpret these filtered networks. Then, themost important centrality measures can be determined by using the effective variance (EV) and effective vector variance (EVV) approach. The results will help the PLUS highway management to improve their policies and services in the future

Granger causality analysis on PLUS highway traffic network

PLUS Malaysia Berhad (PMB) is the largest toll expressway operator in Malaysia and South East Asia. Based on this reputation, PLUS handled thousands of vehicles every day. It covers the in-coming and out-coming traffic burdens from the northern areas to the southern areas. In order to manage these traffic burdens, toll plazas are located along this highway. Previous studies revealed that some of these toll plazas are important in managing the traffic burdens. This study analyze the importance of Skudai (SKD) toll plaza in Johor from 2009 until 2013. The causal relationship between SKD toll plaza with other toll plazas in Johor is studied to determine if there is any potential correlation or relationship of SKD with other toll plazas by using the Granger causality analysis. The findings show that there is a bidirectional Granger causality between SKD and Tangkak (TGK) as well as Machap (MAC) toll plazas. Meanwhile, there is only a unidirectional Granger causality between SKD and Yong Peng Utara (YPU) and Yong Peng Selatan (YPS) toll plazas. These results benefit the PLUS highway management to identify which potential toll plazas that can increase the traffic burden out from SKD toll plaza