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This research presents student online marketplace for university community. In this study, we identify current issues faced by university students while starting their business. Based on the preliminary investigation, it was found out that there are a number of students doing part-time jobs and doing business to support their living expenses. There are varieties of businesses and services offered among students especially students staying in colleges. However, the main problem faced by students either as the buyer or the seller is there is no business platform to promote their products or services. Al-so, there is a lack of information regarding the business or services since most communications are done through h instant messaging apps such as WhatsApp and social media. By having a student online marketplace, the exchange of goods and services take place by having buyers and sellers being in contact with one another. This student online marketplace also helps small businesses to boost their sales, encourage new business start-up and inspire students who have business idea to help them to kick-start their business. Students are able to perform their business in a safe and secure environment.

© Springer Nature Singapore Pte Ltd. 2019. Big data has been touted as the next frontier for innovation, competition, and productivity growth. The promising and rewarding benefits of big data have attracted government agencies and businesses worldwide to extract valuable new insights from big data by reengineering their business and information processes. Although big data can provide valuable information to make intelligent decisions and obtain insights, it comes with many new challenges that must be addressed in order to fully leverage the opportunities provided by Big Data. This paper provides an overview of the opportunities and challenges of big workflow within the context of workflow applications and systems. By applying big workflow in decision making process, organizations are able to visualize data differently and become more valuable.

Construction Defect mobile app is used by Ministry of Defense’s Construction Defect Inspection Team to ease the team to record construction defect. However, the mobile app has never been evaluated formally to identify any usability problems. The objectives of this study are to identify usability problems of Construction Defect mobile app using Think Aloud and to recommend design improvement of Construction Defect mobile app based on the identified usability problem. The Think Aloud study involve with 15 participants. During the evaluation, every participant carries out the given tasks on and he gives his impressions as he goes along the tasks. There are three usability problems were identified. Some recommendations have been proposed to improve the design of Construction Defect mobile app based on the identified usability problem. As for the future work, the study may be conducted using different usability evaluation technique.

The effectiveness of atmospheric cues on consumer’s emotion has a significant impact on online businesses. The usability issues with regards to atmospheric cues especially while browsing electronic commerce (e-commerce) websites are very important. This paper aims to identify the common atmospheric cues, usability issues and their effects on consumer emotions while browsing e-commerce websites. Usability testing techniques was conducted to five (5) participants from different backgrounds by using qualitative methods. The outcome of this preliminary study will help e-commerce websites specifically Lazada Malaysia to reduce usability gap of online shopping experience. The result highlights the atmospheric cues and their influence on the website. These initial findings motivated the current study, which extends our previous work by proposing other key variables and several new recommendations for improvement to generate more effective usability issues.

Construction Defect mobile application (app) is used by Ministry of Defense's Construction Defect Inspection Team to help the team in recording construction defect. However, the mobile app has never been evaluated formally to identify any usability problems. The objectives of this study are to identify usability problems of Construction Defect mobile app using think aloud and to recommend design improvement of Construction Defect mobile app based on the identified usability problems. The think aloud study involved 15 participants. During the evaluation, every participant carried out the given tasks and gave his impressions as he went along the tasks. Three usability problems were identified. Some recommendations have been proposed to improve the design of Construction Defect mobile app. As for the future work, the study may be conducted using different usability evaluation technique.

Metaheuristic algorithm is one of the most popular methods in solving many optimization problems. This paper presents a new hybrid approach comprising of two natures inspired metaheuristic algorithms i.e. Cuckoo Search (CS) and Accelerated Particle Swarm Optimization (APSO) for training Artificial Neural Networks (ANN). In order to increase the probability of the egg’s survival, the cuckoo bird migrates by traversing more search space. It can successfully search better solutions by performing levy flight with APSO. In the proposed Hybrid Accelerated Cuckoo Particle Swarm Optimization (HACPSO) algorithm, the communication ability for the cuckoo birds have been provided by APSO, thus making cuckoo bird capable of searching for the best nest with better solution. Experimental results are carried-out on benchmarked datasets, and the performance of the proposed hybrid algorithm is compared with Artificial Bee Colony (ABC) and similar hybrid variants. The results show that the proposed HACPSO algorithm performs better than other algorithms in terms of convergence and accuracy.

Artificial Neural Networks (ANN) performance depends on network topology, activation function, behaviors of data, suitable synapse’s values and learning algorithms. Many existing works used different learning algorithms to train ANN for getting high performance. Artificial Bee Colony (ABC) algorithm is one of the latest successfully Swarm Intelligence based technique for training Multilayer Perceptron (MLP). Normally Gbest Guided Artificial Bee Colony (GGABC) algorithm has strong exploitation process for solving mathematical problems, however the poor exploration creates problems like slow convergence and trapping in local minima. In this paper, the Improved Gbest Guided Artificial Bee Colony (IGGABC) algorithm is proposed for finding global optima. The proposed IGGABC algorithm has strong exploitation and exploration processes. The experimental results show that IGGABC algorithm performs better than that standard GGABC, BP and ABC algorithms for Boolean data classification and time-series prediction tasks.

The endless transformation of technological innovation requires greater collaboration of Information Communication and Technology (ICT) in various areas especially in public sectors. Many attempts have been made in improving the quality of E-Government services, one of it is adopting the cloud computing technology. Successful-implementation of cloud computing technology can benefit the public sector in many ways one of it is cost reduction. Most government organizations especially in the developing countries are committed in adopting the cloud technology based on the increased demands in cloud adoption in E-Government services. Unfortunately, despite all the benefits, the cloud computing technology raises some major risks. The success of implementation of cloud computing technology is determined by how well the government tackles the challenges. Therefore, this paper specifically surveyed the associated challenges of adopting Cloud Technology for E-Government by choosing Malaysia as the case study.

This paper presents the development of microcontroller based potentiometric indicator system for integration with piezoresistive MEMS sensor. The purpose system involved the integration between hardware and software subsystem. For hardware subsystem, the design of potentiometric circuit was tested using P-spice software and breadboard circuit. Then, the design was fabricated for printed circuit board. This finding was then used to develop interface for the analog-to-digital converter. For software subsystem, the stress level indicator system has been developed using PIC 16F873 by converting the output from potentiometric circuit into stress level with a look-up table based on fuzzy rule sets for measuring human stress. It computes the digital data conversion into desired reading and displays data through the second hardware subsystem which is liquid crystal display. From the experiment, a potentiometric indicator circuit designed for piezoresistive MEMS sensor for human stress was successfully developed.

This paper presents a comparative study on low noise precision difet operational amplifier, OPA111 and low noise operational amplifier, OP27 for potentiometric transduction circuit. Methods for integration of piezoresistive MEMS sensor with the potentiometric transduction circuit have reported successes. There was a need for a low noise operational amplifier for amplifying the output from the piezoresistive MEMS sensor since noise is the main problem in the circuit design. The purpose of this project is to reduce the noise effect by comparing two types of operational amplifier. The purpose of the design involved the piezoresistive MEMS sensing with the potentiometric transduction circuit. Since the sensor input range of 1.1 to 1.3 kilo ohms, the potentiometric transduction circuit designed enables the small changes in the resistivity. The circuit has been designed and test through theoretical, simulation and experimental studies. From the experiment, for the sensor input range, an output range of -0.108 to +0.1 volts is obtained. The percentages discrepancy within 4.278% for low noise precision difet operational amplifier, OPA111 and 8.308% low noise operational amplifier, OP27 is found between theoretical and hardware results, on the average. The null bridge condition is designed at 1.2 kilo ohms with the discrepancy of 5.71% is detected.

The involvement of companies in Small and Medium Enterprise (SME) industry in Malaysia is encouraging. In addition, there are growing interest to evaluate accessibility level of different genre of websites. However, the accessibility level of SMEs website in Malaysia has not yet being evaluated. The main objective of this paper is to evaluate the accessibility level of SME website in Malaysia. Twenty two categories of SMEs, which contains two hundred and twenty websites, were selected from the web portal at www.shoppy.com.my. The accessibility evaluation was done by using EvalAccess 2.0 to evaluate the accessibility level according to the WCAG 1.0 guideline published by the World Wide Web Consortium (W3C). The study revealed several accessibility issues for the selected sample of SME websites in Malaysia and ends with few recommendations for further improvement of the website accessibility towards better improved online services and information for normal and disabled user.

The proposed requirement change propagation ( ReChaP ) approach promotes significant supports in simplifying the tedious tasks of requirement change propagation to other software artefacts during software evolution. One of the ReChaP’s pillars is the process model, which provides systematic guidelines to simplify the phenomenally time consuming and expensive efforts of the requirement change propagation process. This paper specifically reports on the preliminary results and the observation analysis for the conducted synthetic experiment in academic settings. The experiment’s goal is to evaluate the usability quality factor of the process model in terms of five main criteria; efficiency, effectiveness, learnability, satisfaction and usefulness. Our initial findings observe that the proposed ReChaP process model is soundly demonstrated as sufficiently usable, practical enough, and meantime has ideally achieved reasonable percentages for the five comprehensive criteria of the measured usability factor.

Human factors literature has stressed the importance of ergonomically good computer environment and computer usage as to avoid from ergonomic risk and illnesses. This paper aims to investigate the ergonomics awareness among university students. The data collected from the survey includes their prior knowledge about ergonomics, their current practice and their perception regarding ergonomic-related issues when using computer, as well as on ergonomic health risk. Questionnaires were distributed to 60 students. Result shows that there is a significant association between attending HCI course and having knowledge in ergonomics. Although these students know and understand the good principle of ergonomics, the results reveal that only half of them practice it. In terms of ergonomic awareness, the respondents are least concern on ergonomic risk of keyboard and mouse. The findings provide the current state of practice in computer usage environment. This finding indicates the need to educate students with ergonomic awareness.

The awareness of the importance of usability and accessibility in Malaysia is demonstrated with the setting-up of usability laboratories from local universities and agency and studies in different applications. This study share the interest on creating awareness of the importance of accessibility and usability criteria by investigating the accessibility and usability level of Malaysia Higher Education Website. This study used 120 samples of higher education institution websites from the online portal of the Ministry of Higher Education (http://www.mohe.gov.my). The accessibility evaluation was done by using automatic evaluation to access the accessibility level according to WCAG 1.0 guideline. Usability evaluation was also done on page size, speed and broken link. The study revealed several accessibility and usability issues revolving Malaysia Higher Education website. We end our study with few recommendations for further improvement of the website usability and accessibility towards better improved online services and information for normal and disabled user.

According to a report by Department of Social Welfare Malaysia (http://www.jkm.gov.my), there are approximately 277, 509 registered disabled people in Malaysia since November 2009. The growing number of people with disabilities in Malaysia indicates the importance of safeguarding the interest by this special underserved group in Malaysia. Thus, this study aims to investigate the accessibility of website for disabled user in Malaysia. A total of 100 websites were chosen from four Malaysia portals; (i) Malaysian Information Network on Disabilities (MIND), (ii) Malaysian Christian Association for Relief (Malaysian CARE), (iii) Kiwanis Disability Information and Support Centre (KDISC) and (iv) Hati. The study revealed several issues pertaining to website accessibility for people with disabilities in Malaysia. We end our study with few recommendations for to improve few of the accessibility criteria that may be overlooked by website developers.