Construction cost comparison between conventional and formwork system for condominium project

Based on recent scenario, Malaysia has emerged towards industrialization in all aspects of development. Most significantly, construction industry in Malaysia has transformed into a transitional paradigm changed, from the conventional system technology towards a more systematically, mechanized and industrialized forms, which adopted the latest and modernized technology. The transformation and innovation of this technology has evolved out of a tremendous backlog in the construction of the commercial and residential buildings. Apparently, the so-called ‘Industrialised Building System’ (IBS) is one of the major constituents in the construction systems. This system has been regulated and varied in a completely different manner compared to the conventional construction system, thus effected the design, construction method statements and most importantly the cost implications (CIDB, 2000). A case study was carried out by the researcher. The data required for this case study was generated through interviews. From the results of the case study, it undertaken can be concluded that the Industrialised Building System is better construction cost saving as compared to the conventional system

Factors Influencing the Rise of House Price in Klang Valley.

There is an increase of house price radically in Klang Valley that affect to Malaysian house buyer. House price is the value to be paid for the dealing of buying a residential property. House price rises continuously respecting few factors and had impacting house buyer in decision to buy their house. This study becomes necessary since there is less research that gives information in the factors influencing the rise of house price. The factors are found out through detailed literature reviews and information from pilot study. Pilot study is conducted through interviewing representative from National House Buyer Association, pioneer in solving house related problem, to provide legal suggestion and etc. The data is collected via questionnaire survey form distributed to respondents in sample area. The sample area is Klang Valley region, 10 municipal districts including Kuala Lumpur, the Capital City. In result and analysis stages, the factors had to be refined by analyzing the data using statistical tests. Every single factors are calculated its average index respect to few level of influence under respondents’ opinion. The index will then treated as influencing level of the factors. Based on the study, fluctuation in housing market, increasing in construction cost, population growth and increasing demand are factors which give major influence to rise of house price. The study also identified housing criteria to be considered during setup of house selling price and also preference among house buyer nowadays. This study also identified cost contributors in construction being foresees as control measure concerned in respect to respondents point of view

Building cost comparison between conventional and fully prefabricated systems in Malaysia: a case study of single and double storey house

In the Malaysia context, the government's policy on housing is that, the traditional building practices must be replaced by Industrialised Building System (IBS), which could save on labour, cost and time of construction and confers quality and durability (Elias, 2000). In so far there is yet no organized body, which can provide information readily on a guideline or benchmark for building cost comparison especially between conventional and fully prefabricated system in Malaysia's construction industry. Hence, the focus of the particular study. A case study was carried out by the researcher. The data required for this case study was generated through interviews. From the results of the case study, it undertaken can be concluded that the conventional construction system is better building cost saving as compared to the fully prefabricated system

Implementation of Building Information Modelling (BIM) in Malaysia: a review

This paper seeks to clarify Building Information Modelling (BIM) and its implementation in Malaysia. Most developed countries that have implemented BIM in the construction industry have found it effective. This paper reviews existing literature on the implementation of BIM and examines the implementation strategies that have been developed. The review highlights numerous advantages of BIM in construction, which include, among others, reducing cost, time, carbon burden and capital cost. BIM can also help increase broader efficiencies and improve coordination and communication between each party. However, implementing BIM is complicated and requires efforts from both the government and the private sector. While the implementation of BIM may reduce costs in developed countries, it may not do so in developing countries; in Malaysia, for instance, costs act as an initial barrier. Other obstacles to implementing BIM in Malaysia include application system requirements and lack of knowledge and readiness to change. To facilitate its implementation in the construction industry, the Malaysian government needs to hold seminars to promote a better understanding of BIM. They may also introduce a properly structured BIM course by preparing a standard code of practices and guidelines for BIM in the education sector

UAV-based approach to extract topographic and as-built information by utilising the OBIA technique

In this study, the capability of Unmanned Aerial Vehicle (UAV) optical data to provide reliable topographic and as-built information was tested using the eBee Sensefly UAV system. The Object-based Image Analysis (OBIA) technique was used to extract important geospatial information for mapping. The robust Taguchi method was adopted to optimise the segmentation process. Feature space optimisation method was used to obtain the best features for image classification utilising different supervised OBIA classifiers, such as K-nearest neighbour (KNN), normal Bayes (NB), decision tree (DT), random forest (RF) and support vector machine (SVM). Results showed that SVM obtained the highest percentage of overall accuracy, followed by RF, NB, DT and KNN at 97.20%, 95.80%, 93.14%, 86.01% and 77.62%, respectively. The McNemar test was implemented to analyse the significance of the classifier results. The as-built information showed that dimensional accuracy was less than 1 metre compared with ground survey measurement. We conclude that the combination of UAV and OBIA provides a rapid and efficient approach for map updating. This technique could replace the current procedure that utilises piloted aircraft and satellite images for data acquisition and reduce the time for digitising each feature that represents land cover for urban mapping

A survey on construction cost comparison between conventional and industrialised building system for housing project

Malaysian construction industry is currently undergoing a transitional change from an industry, which is employing conventional technology to a more systematic and mechanized type of system. This new system is well known as Industrialised Building System (IBS). The new method of construction can increase productivity and quality of work through the use of better construction machinery, equipment, materials and project planning. This study becomes very necessary information on the construction cost comparison between the conventional and industrialised building system in the Malaysian construction industry. Data was collected by using mail questionnaire represents suppliers, developers, consultancies and also contractors

Existing Practices of Building Information Modeling (BIM) Implementation in the Public Sector

The Government of Malaysia has taken a proactive action by implementing the strategic ICT-driven or ICT-enabled transformation programmes and ICT plays a critical role in ensuring their efficient and effective implementation. However regardless the efforts, the implementation of BIM in Malaysia mostly on the private sector driven and it is still between BIM level 0 and BIM level 1. As many of countries across the globe have shown great interest and their public sector plays an important role in leading the market towards BIM adoption, the Government of Malaysia and its agencies by capitalising the existing hard and soft-infrastructures in Malaysia should play significant roles to help in stimulate BIM technology in Malaysia to be comparable with other developed countries. This paper through literature review aims to establish a clear understanding about the global BIM implementation in the public sector, to determine the public sector readiness to adopt BIM in Malaysia and to investigate the potential of BIM implementation within the public sector. In addition, suggestions on the focus of the other research papers on BIM implementation within the public sector will be included

Development of a mobile Aquaculture Management Systems for performance monitoring of aquaculture players

Towards achieving National Transformation 2050 for Malaysia’s smart communities 2050 with the Fourth Industrial Revolution, Malaysia aquaculture industry has become a targeted industry for the fast-growing food industry in the digital revolution that ranked in the top 15 world producers in 2014 with an estimated 521,000 tonnes of total aquaculture production. It is aligned to the 11th Malaysia Plan under the National Agrofood Policy (NAP), 2011-2020. However, in this recent years, the aquaculture sector in Malaysia is facing serious challenges in environmental issues and managing aquaculture systems during disease outbreak and disaster. This is due to lack of timely shared information among aquaculture players. For the purpose of the study, this paper used to address a mobile web application innovation as a disruptive technology to manage aquaculture systems in order to share the useful information of aquaculture issues on the right time and to the right person. Based on Design Science Research philosophy, Generic Design Cycle applied as the research methodology to develop mobile application development. Therefore, the advantages of the innovation and the significant impact to the industry also highlighted in this paper

Project management practice and its effects on project success in Malaysian construction industry

The rapid economic development has increased the demand for construction of infrastructure and facilities globally. Sustainable development and globalization are the new 'Zeitgeist' of the 21st century. In order to implement these projects successfully and to meet the functional aim of the projects within their lifetime, an efficient project management practice is needed. The aim of this study is to identify the critical success factors (CSFs) and the extent of use of project management practice which affects project success, especially during the implementation stage. Data were obtained from self-administered questionnaires with 232 respondents. A mixed method of data collection was adopted using semi-structured interview and questionnaire approach. The result of the analysis of data obtained showed that new and emerging criteria such as customer satisfaction, competency of the project team, and performance of subcontractors/suppliers are becoming measures of success in addition to the classic iron triangle's view of time, cost and quality. An insight on the extent of use of different project management practice in the industry was also achieved from the study

Development of Internet of Thing (IoT) technology for flood prediction and Early Warning System (EWS)

Flood is the most significant disaster happened in almost every part of the world. When the event occurred, it causes great losses in economic and human life. Implementation of the advancement of ICT brings significant contribution to reduce the impact of flood toward the people and properties. This paper attempts to investigate the capability of internet of things (IoT) technology in reducing the impact of natural disaster specifically in flood disaster scenario. First, the concept of Internet of Things (IoT), key technologies and its architecture are discussed. Second, related research work on IoT in disaster context will be discussed. Third, further discussion on the propose Internet of Things (IoT) architecture and key components in the development of flood prediction and early warning system. The smart sensors will be placed at river basin for real-time data collection on flood related parameter such as rainfall, river flaw, water level, temperature, wind direction and so on. The data will be transmitted to data centre via wireless communication technology which will be processed and measured on the cloud service, then the alert information will be sent users via smart phone. Thus, early warning message is received by the people in terms of location, time and other parameters relate to flood