Implikasi Buli Siber, Kemurungan, Kebimbangan dan Tekanan terhadap Pencapaian Akademik Murid

Kajian ini bertujuan mengenal pasti pengaruh buli siber, kemurungan, kebimbangan dan tekanan terhadap pencapaian akademik murid. Kajian kualitatif ini meneroka implikasi buli siber ke atas lima orang murid mangsa buli siber dan telah dikenal pasti mempunyai tahap kemurungan, kebimbangan dan tekanan yang sangat tinggi melalui ujian soal selidik. Dapatan yang diperolehi melalui analasis tema menunjukkan antara implikasi yang dihadapi seperti tekanan perasaan, mudah tersinggung, bertindak keterlaluan, kesedihan, menyalahkan diri, merasa tidak dihargai, kecewa dan putus harapan, keinginan membunuh diri, malu, gangguan perasaan, bimbang dan takut, memendam perasaan, kurang yakin diri, kemarahan, hilang semangat dan implikasi akademik seperti tidak fokus dan ponteng sekolah. Kesimpulanya, buli siber membawa implikasi kemurungan, kebimbangan dan tekanan dari aspek emosi, psikologi dan fizikal. Penemuan daripada kajian ini dapat digunakan oleh pihak pemegang taruh khususnya dalam bidang pendidikan bagi merangka plan tindakan pemulihan ke atas mangsa buli siber. Implications of Cyber Bullying, Depression, Anxiety and Stress on Student Academic Achievement Abstract: This study aims to identify the influence of cyber bullying, depression, anxiety and stress on student academic achievement. This qualitative study explored the implications of cyberbullying on five students who were victims of cyberbullying and were identified as having very high levels of depression, anxiety and stress through a questionnaire test. Findings obtained through theme analysis show among the implications faced such as emotional stress, irritability, overacting, sadness, self-blame, feeling unappreciated, disappointed and hopeless, suicidal desire, shame, emotional disturbance, worry and fear, harboring feelings, lack of self-confidence, anger, loss of enthusiasm and academic implications such as lack of focus and skipping school. In conclusion, cyber bullying has implications for depression, anxiety and stress from emotional, psychological and physical aspects. The findings from this study can be used by stakeholders, especially in the field of education, to formulate a recovery action plan for victims of cyber bullying. Keywords: Anxiety, Cyberbullying, Depression, Stress

Effect of Hydrogen Inlet Pressure Analysis on open Voltage of Proton Exchange Membrane (PEM) Fuel cell by using Periodogram

Proton Exchange Membrane Fuel cell (PEMFC) is one of the renewable energy system that was recently highlighted by researchers. PEM fuel cell generates electricity through the electrochemical reaction of hydrogen and oxygen. Finite changes in the reactant inlet properties leads to unique operating changes within the fuel cell stack. The effect of hydrogen inlet pressure to the operating voltage has been detailed before using a variation of monitoring techniques. Identification analysis is required to monitor every factor that influences the performance characteristic of PEMFC. Periodogram monitoring technique applies a frequency domain waveform signal capable of tracing small changes in the phase behaviour of electrical operations as external parameters are varied. The use of this technique is provided in this paper within the scope of monitoring the signal changes in the open voltage of a 30Watt (W) PEM fuel cell stack as the hydrogen inlet pressure is varied from 0.1 bar to 0.5 bar. The open voltage increases with rise in hydrogen inlet pressure and the Periodogram amplitude signal increases accordingly. Then, the magnitudes of total tolerance voltage, the signal characteristic of direct current voltage (VDC), root means square voltage (VRMS), and alternating current voltage (VAC) were calculated from the voltage waveform where losses could be identified. Therefore, the Periodogram technique has been proven useful and practical in monitoring operation changes of a PEM fuel cell stack

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

A comparing key performance indicator and benchmarks of quality pre-school among the agency in Malaysia

High quality early childhood education (ECE) enables children to enjoy the experience and have nurturing environment that promotes holistic development. The key performance indicators such as quality pre-school’s environment, teachers and assistant teachers, learning materials have been predicted to produce desirable outcomes. However, the challenge is to identify the predictors that can quantify the definition of a quality teacher. This study uses questionnaire to assess individual perceptions and views on quality key performance indicators of early childhood pre-school center. The study’s findings revealed that the gap analysis related to the qualification of pre-school teachers and ratio teacher-child below the standard. Even though teacher-child ratio in private pre-schools is small because most of pre-schools do not employ assistant teacher as practiced in other pre-schools. Thus, the study found that the performance of children’s abilities in Ministry of Education pre-school and private pre-schools exceeded the national standard of 76.2% National Average of Reading and Writing, and 64.6% National Average of Arithmetic. However, based on benchmark 100% achievement, the screening performance report shown children far left behind. In conclusion, these findings are important to be given attention and remedial action in order the improvement and quality of pre-school achieve the minimum standard

Penerimaan sistem e-pembelajaran bagi menyokong pembelajaran teradun di institut pendidikan guru

Amalan pembelajaran teradun telah diamalkan di institut-institut pendidikan guru semenjak awal tahun 2011. Walaupun pendekatan pembelajaran teradun ini menepati kehendak pembelajaran semasa di institut-institut pendidikan guru, namun penerimaan pelajar dan Pengajar terhadap pembelajaran teradun ini masih lagi dikaji khasnya dari aspek sokongan sistem e-pembelajaran. Oleh itu, kajian ini dijalankan bertujuan untuk mengkaji tahap penerimaan pelajar dan pengajar di institut pendidikan guru terhadap sistem e-pembelajaran bagi menyokong pembelajaran teradun. Kajian ini adalah bersifat kuantitatif berbentuk kajian tinjauan melibatkan 191 pelajar dan 92 pengajar di sebuah Institut Pendidikan Guru menggunakan kaedah persampelan bertujuan. Data dianalisa secara deskriptif dan inferensi untuk mendapatkan maklumbalas responden yang berkaitan dengan persoalan kajian. Hasil dapatan kajian menunjukkan penerimaan yang baik dan positif dalam kalangan pelajar dan pengajar di institut pendidikan guru terhadap sistem e-pembelajaran rasmi yang diguna-pakai bagi memantapkan pelaksanaan amalan pembelajaran teradun di institusi tersebut. Faktor Interaksi, kemudahgunaan dan manfaat mempunyai perkaitan dengan tahap penerimaan pelajar dan pengajar. Namun, tahap penerimaan dan korelasi dalam kalangan pengajar adalah lebih rendah berbanding pelajar. Ini dilihat wujud berdasarkan penggunaan sistem yang mampu menampung suasana pengajaran dan pembelajaran yang terkini dan faktor perancangan serta penyediaan prasarana teknologi yang telah dirancang dengan rapi

Forecasting number of vulnerabilities using long short-term neural memory network

Cyber-attacks are launched through the exploitation of some existing vulnerabilities in the software, hardware, system and/or network. Machine learning algorithms can be used to forecast the number of post release vulnerabilities. Traditional neural networks work like a black box approach; hence it is unclear how reasoning is used in utilizing past data points in inferring the subsequent data points. However, the long short-term memory network (LSTM), a variant of the recurrent neural network, is able to address this limitation by introducing a lot of loops in its network to retain and utilize past data points for future calculations. Moving on from the previous finding, we further enhance the results to predict the number of vulnerabilities by developing a time series-based sequential model using a long short-term memory neural network. Specifically, this study developed a supervised machine learning based on the non-linear sequential time series forecasting model with a long short-term memory neural network to predict the number of vulnerabilities for three vendors having the highest number of vulnerabilities published in the national vulnerability database (NVD), namely microsoft, IBM and oracle. Our proposed model outperforms the existing models with a prediction result root mean squared error (RMSE) of as low as 0.072

Elements of Competency for Facility Engineers in The Field of Refrigeration and Air Conditioning

The challenge for institutions of higher learning today is to provide the human capital that this industry desperately needs. Past studies have shown that most graduates of local institutions of higher learning do not have the necessary work skills and competencies in the market and there seems to be mismatch in the preparation of graduates for the local job market. In this regard, universities are often blamed for failing to meet the needs of industry and employers. On this basis, this study is hoped to open further discussion space and can help the parties involved in making improvements to improve the quality of graduates especially producing skilled workforce according to industry demand. This study aims to explore the elements of competency that a facility engineer should have in the field of air conditioning and air conditioning. This study was done to provide a comprehensive overview of the elements of competency that need to be presented to the Facility Engineers in order to help the graduates of the Refrigeration and Air Conditioning Technology course at Universiti Tun Hussein Onn Malaysia (UTHM) to be better prepared for the occupational environment. This study used the Modified Delphi Technique – MDT approach for the purpose of obtaining expert approval on constructs in questionnaire instruments as well as using literature survey study through analysis documents. The research instrument used was a set of questionnaires prepared to obtain evaluation from experts. The data were processed by using Statistical Package for the Social Sciences (SPSS) software to obtain the mean score, median and Interquartile Range (IQR) for each item. The findings of the literature review through document analysis produced ten elements and 64 items. Meanwhile, the findings of the modified Delphi study produced the competence of Facility Engineers which has 10 elements and 62 items

Fostering Love of Art Heritage through 3E Gallery (Expose, Explore & Excite) in Civic and Citizenship Education

The education development and changes that have taken place either within the country or globally has made Civic and Citizenship Education (CCE) in the school system becomes important. However, often times this subject has been taken lightly by students as well as teachers and deemed as not important because this is a non-examination subject. This situation results in knowledge, skills and civic values not being able to be assimilated by students. Due to this factor, a study was conducted to review the effectiveness of the 3E Gallery (expose, explore, excite) in order to foster a sense of love for the diversity of cultural heritage through CCE. The study involves 24 students from Form 2 Aspiration (K8), a rural school in Pahang, Malaysia. The initial review and analysis was conducted through interviews, observations and analysis of students’ achievement of school-based Assessment. It was found that they were not interested in this subject because they were not clear of the needs to learn the subject. To change the paradigm, an effort through the learning approach 3E Gallery was carried out. This method is designed to build an active learning method that helps students understand their roles and responsibilities as responsible members in various social groups. With this method, students was introduced the skills of translating information and have the opportunity to experience the exploration into each gallery which was built by them. The finding shows that this activity produced a sense of excitement for the students to express love for the national arts heritage. The achievement in this subject has also increased after this learning approach was being applied. This reflects that the action taken in the action research study is timely and effective. Keywords: Civic and citizenship education, multicultural education, intercultural communicative competenc

Mind-mapping strategy in process writing approach: Idea extension evidence for introductory paragraph

Extending ideas in essay writing is challenging for many ESL students, let alone the low ones. The students need help writing ideas, even in the introductory paragraph. Mind mapping strategy could help students develop ideas by forming wh-questions using identified keywords. Hence, this research is conducted to determine the evidence of a mind-mapping strategy in extending ideas for writing introductory paragraphs in the Malaysian University English Test (MUET) Writing Task 2 (Extended Essay). Also, it intends to explore the students’ steps in the mind-mapping strategy to extend ideas in the introductory paragraph writing process. The research design is a sequential explanatory mixed-method approach where data were gathered through a needs assessment survey, diagnostic tests, and semi-structured interviews. Process writing activities were designed as a treatment after the survey, and pre-test scores supported the necessity to employ the mind-mapping strategy to the experimental group. Conversely, a control group was formed to contrast the strategy with free writing activities. Test scores of the two groups after eight weeks of the treatment were compared using Klimova’s (2014) writing components. The diagnostic pre and post-test scores on ideas extension showed evidence of the strategy. The qualitative findings also augmented the strategy’s usefulness in five aspects: 1) as an idea generation strategy; 2) using keywords and wh-questions; 3) clear step-by-step processes; 4) improved idea development; and 5) the importance of a good beginning. Further study could expand the strategy’s advantages in idea extension and content paragraph organisation for the MUET writing tasks and other essay writing processes

EMG pattern recognition using TFD for future control of in-car electronic equipment

Distracted drivers contribute to motor vehicle accidents. The maneuvering of in-car electronic equipment and controls, which typically requires the driver’s hands to be off the wheel and eyes off the road, are important factors that distract drivers. To minimize the interference of such distractions, a new control method is presented for detecting and decoding human muscle signals, which is known as electromyography (EMG). It is associated with various fingertips and pressures, and allows the mapping of various commands to control in-car equipment without requiring hands off the wheel. The most important step to facilitate such a scheme is to extract a highly discriminatory feature that can be used to separate and compute different EMG-based actions. The aim of this study is to accurately analyze EMG signals and classify finger movements that can be used to control in-car electronic equipment using a time– frequency distribution (TFD). The average root mean square voltage of seven participants and fourteen different finger movements are extracted as EMG features using a TFD. Four machine learning classifiers, i.e., support vector machine (SVM), decision tree, linear discriminant, and K-nearest neighbor (KNN), are used to classify pointing finger classes. The overall accuracy of the SVM precedes that of the other classifiers (89.3%), followed by decision tree (57.1%), linear discriminant (34.5%), and KNN (27.4%). The findings of this study are expected to be used in real-time applications that require both time and frequency information. Integrating the EMG signal to control in-car electronic equipment is expected to reduce the number of motor vehicle crashes globall