eJournal Jabatan Pendidikan Politeknik dan Kolej Komuniti
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Online Learning Readiness, Motivation, and Satisfaction Among Students Towards the SKU10142 Food Safety and Sanitation Course
Get PDFThe COVID-19 pandemic that hit the world at the end of 2019 has had a major impact on society, including various fields such as the economy, health, and tourism, as well as the education sector. As a result, teaching methods had to be changed from face-to-face classes to online learning. Culinary Certificate students at Kolej Komuniti Kuantan were also affected by this change. Based on this situation, the researcher conducted a study of online learning readiness, motivation, and satisfaction among students\u27 attitudes toward the SKU10142 Food Safety and Sanitation Course. A total of 57 respondents among 1st-semester students were involved in this quantitative study. The questionnaire that was used included four parts of questions, which are respondent demographics, online learning readiness, motivation, and satisfaction among students towards the SKU10142 Food Safety and Sanitation Course. The results of the study found that the level of readiness, motivation, and satisfaction of students towards online learning is moderate. However, the correlation between readiness and motivation for online learning is significant and very strong. While student satisfaction is significant and strong, an important contribution to the findings of this study is that it can improve the effectiveness of online learning and the understanding of the difficulties faced by students. This study is also important to help institutions and lecturers improve learning methods that align with the passage of time
A Pellet Forming Machine with Steel Wheel Pressing System Using Banana Sticks Raw Material
Get PDFGedebog banana or banana stem is a part of the banana tree that is considered waste and is often thrown away, but it can be optimized to become a feed raw material with economic value. One of the benefits of banana gedebog is that it can be used as a mixture of fish feed which is formed with feed raw materials into pellets. Based on laboratory analysis, the content of banana gedebog includes Dry Material (BK). 87.7%, ash 25.12%, crude fat (LK) 14.23%, crude fibre (SK) 29.40%, crude protein (PK) 3% including amino acids, amine nitrate, glycosides, contains N, glycolipids, B vitamins, nucleic acids, extract ingredients without nitrogen (BETN) 28.15% including carbohydrates, sugars and starch. This research aims to produce a pellet-forming machine for fish feed using a mixture of banana gedebog as the raw material. The research method involves building a machine according to the design and testing of the machine using a steel wheel mould pressing system. This research results in a pellet-forming machine unit that can produce pellets utilising a mixture of banana gedebog as raw materials. Average printing results per minute, 3 mm diameter pellets = 1137 grams, 4 mm diameter pellets = 1607 grams and 5 mm diameter pellets = 1553 grams with an average machine capacity that can produce pellets reaching 75 kg/hour to 90 kg/hour
Exploring EEG-Based Biomarkers of Attention in an Individual with Eating Disorders Using Non-Invasive Brain-Computer Interfaces
Get PDFEating disorders (ED) are complex health conditions characterised by abnormal eating behaviours, psychological distress, and often accompanied by cognitive impairments such as attention deficits. Understanding the neural mechanisms underlying these impairments is essential for developing targeted interventions. Electroencephalography (EEG), a non-invasive method for monitoring brain activity, has emerged as a promising tool to assess attention-related neural mechanisms in individuals with ED. This study explores the potential of using non-invasive brain-computer interfaces (BCIs) and EEG to identify attention-related biomarkers in individuals with ED. Specifically, the study investigates EEG correlates of attention in individuals experiencing recurrent binge eating episodes without significant weight gain, as defined by the DSM-5. A NeuroSky MindWave headset, equipped with a single dry electrode sensor placed on the frontal lobe was employed to capture EEG data during a steady-state condition of an individual with ED after sunset. The EEG data were analysed across the delta, theta, alpha, beta, and gamma frequency bands. The results revealed distinct EEG patterns associated with attention in the individual with ED. The study also suggests that meal timing, particularly avoiding dinner within five hours of bedtime may enhance attentional responses. These findings underscore the potential of EEG as a non-invasive tool for understanding attention-related neural mechanisms in ED. The simplicity and accessibility of using a basic EEG headset could inform future therapeutic approaches and further assist clinicians in developing personalised and effective treatments for individuals with ED which ultimately improve cognitive function and clinical outcomes
Optimising the Performance of 110cc Engines for Fuel-Efficient Vehicle Design in the Shell Eco-Marathon
Get PDFThe Shell Eco-Marathon (SEM) is an internationally recognised competition that inspires higher education students to develop innovative, fuel-efficient vehicle designs, emphasising sustainability and engineering excellence. A major challenge in this endeavour lies in optimising engine performance, particularly for small-capacity engines such as the 110cc, which require precise tuning to achieve superior thermal efficiency and minimal fuel consumption. This study addresses this challenge by developing detailed brake-specific fuel consumption (BSFC) and brake thermal efficiency maps through dynamometer testing of a 110cc engine. The results demonstrated a maximum torque of 7.31 Nm at 5500 RPM, a peak brake power of 5.33 kW at 7500 RPM, and optimal operating conditions at 5000 RPM with a load of 5.42 Nm, achieving a minimum BSFC of 347.3 g/kWh and a maximum thermal efficiency of 23.87%. These findings provide practical insights into the engine’s most efficient operating range, enabling the design of optimised drivetrains that enhance vehicle performance and reduce energy consumption. By harnessing these insights, SEM participants can contribute to advancing sustainable engineering solutions while achieving competitive excellence
Investigating the Impact of Online Learning Barriers on Soft Skills Development among TVET Students During the COVID-19 Pandemic: A Malaysian Perspective
Get PDFThis quantitative, descriptive study aims to investigate the impact of online learning barriers on the acquisition of soft skills in technical and vocational education and training (TVET) students. Specifically, it aims to assess the extent of these barriers and the mastery of soft skills among TVET students and to examine the relationship between these two factors. The study involved 1,140 students — 462 women and 678 men — enrolled in the first to fifth semesters of the Session I 2022/2023 diploma programme. The response rate for the online survey was 76.1%. Pearson\u27s correlation analysis was conducted to analyse the correlation between online learning barriers and the development of soft skills. Preliminary results, indicated by Cronbach\u27s alpha values of .937 and .963 for the two sections of the survey, suggest a nuanced impact of online barriers on soft skills learning, particularly in ethics, responsibility, leadership, and communication. Despite the presence of barriers at various levels, their impact on the development of soft skills in TVET students appears to be minimal. Nevertheless, the results suggest that entrepreneurial skills need to be more integrated into online learning platforms
A Smart Control of Solar Panel Mechanism with Arduino Based Data Logger for Neural Network Analysis
Get PDFA solar panel mechanism is a system of devices that can track the sun\u27s movement and adjust the solar panels accordingly. In this experiment, the amount of solar irradiation that can be captured and converted into electrical energy by a solar panel and pyranometer is being investigated. Preliminary study has been done to gather solar irradiance data from the pyranometer and solar panel for comparison. The data gathered was then used to perform a forecast using neural network analysis. Two configurations were used in this experiment where both labelled as "Auto-detect" and "Passive." Auto-detect refers to the placement of the solar panel on a 3D-printed base with a servo motor that regulates rotations in response to inputs from Light Dependent Resistor (LDR) sensor. This arrangement will keep an accurate orientation between solar panel and solar energy source. While in passive configuration, the solar panels are manually positioned. From this study, the maximum sun irradiance measurements made with a pyranometer were 0.9986 W/m2 in auto-detect mode and 0.9962 W/m2 in passive mode. Auto-Detect Configuration has 72.46% efficiency while Passive Configuration: 58.46%. For the neural network analysis, it has been found that the prediction has low accuracy. Therefore, additional improvement techniques can be used in future work
Penguasaan Konsep Asas Litar Sesiri dan Selari dalam Kalangan Pelajar JKE, Politeknik Sultan Mizan Zainal Abidin
Get PDFThis action research carried out to address the problem of the mastery of basic concepts of series and parallel circuits. The respondents involved were 37 students semester one Diploma in Electronic Engineering (Communication) DEP1-S3 session June 2017, JKE PSMZA. The objective of this action research is to identify the basic knowledge students, causes weakness of the students and the interest of students in basic electric circuit. The method used is qualitative and quantitative research methods. Data collection the review made by the circulation of a questionnaire and interviews. Results of implementation of the study found 84% of students don\u27t have basic knowledge in the field of electricity before entering polytechnics and 70% of students do not have complete notes. While 62% of the students are not interested in electrical engineering courses. Implementation of the action will be completed within five weeks. Planning the actions carried out are lecturer training by using the questions in the previous semester final examination and emphasis on topics that are considered elusive, showing video of teaching and learning related series and parallel circuits to enhance the understanding of students as well as guiding the student make additional training in groups during lecture. On average for questionnaire there is an increase of 42% for basic knowledge students, 57% for the cause of weaknesses in students and 43% for the interest of students. While the session did interview there is an increase of 28%. In conclusion it was found there is improvement of the students \u27 mastery of basic concepts of parallel and series circuit
Enhancing English Proficiency among DKM1 Students: Improving Communicative Skills using WhatsApp Application
Get PDFThe action research is aimed to improve communicative skills among students in carrying out group discussion. This research involved 40 students from DKM1S3 of Politeknik Sultan Mizan Zainal Abidin June 2017 session. The objective of the research is to increase students’ performance in carrying out group discussion with the help of Whatsapp Application. The methodologies used are quantitative and qualitative methods. The data collection was gathered through pre-test and post-test and questionnaire. Based on the data gathered in pre-test, it was found that 60% of the students only managed to score C and another 40% D for their interactive skills in group discussion. Therefore, several actions were implemented in order to help the students improved their communicative skills. The action plans conducted include implementation of various communicative activities in class such as role-play, debate, games and practising the skills through WhatsApp Application. Based on the actions conducted, the post-test result has shown positive improvement in their communicative skills where 2.5% and 6% of the students managed to score A and B respectively. It was supported by their positive feedback on the questionnaire given. The results of the action implemented showed that the communicative skills among the students could be improved if they are given suitable methods and platform to encourage them to practice their skills
A Study of the Use of Vernier Calipers on Student Competence in the Department of Mechanical Engineering, Politeknik Mukah
Get PDFThis study was carried out with the aim of reviewing the level of use of vernier calipers against the competence of semester 1 students in the Department of Mechanical Engineering, Mukah Polytechnic. The aspects of knowledge ability, use skills, and willingness to use the Vernier Caliper are measured. This study is descriptive and uses a questionnaire instrument involving a sample of 100 respondents. The set of questionnaires used to conduct this study is divided into four parts. It contains 35 questions items to obtain research data. The entire data obtained was analyzed using the Statistical Package for Social Science (SPSS) software to obtain frequency, percentage, mean, and standard deviation values for each respondent\u27s response. The results of the study show that the highest level of item knowledge is B9 with a mean score = 3.60 where students emphasize the need for initial exposure related to the use of vernier calipers applied in semester 1
An Analysis of Congestion Patterns on the Tuaran Bypass and Sulaman KKIP Road Networks in Kota Kinabalu, Sabah
Get PDFThis study examines the recurring and non-recurring congestion patterns on the Tuaran Bypass and Sulaman KKIP road networks in Kota Kinabalu, Sabah. The research provides valuable insights into the factors contributing to congestion in the area. A quantitative survey research design was used to collect data through an online survey administered between January and February 2023. A survey instrument adapted from relevant literature was used to collect demographic information about respondents and identify patterns of traffic congestion on both road networks. A total of 1,483, completed responses were obtained and analysed using descriptive statistics. The findings indicate that recurring congestion, primarily influenced by poor roadway conditions, lack of lanes, bottlenecks, and inefficient traffic management, accounts for 52.40% of the congestion. Non-recurring congestion, attributed to poor weather conditions, new development projects, festivals, and accidents, contributes to 47.60% of the congestion. The analysis further highlights the most congested roads during peak hours, with the Sulaman > KKIP Sepanggar > UMS route being the most problematic, followed by the Jalan Tuaran Bypass route. These routes experience heavy traffic due to their significance as major arteries connecting key areas, as well as the presence of construction work, narrow road width, and limited public transportation options. Addressing congestion in the Tuaran Bypass and Sulaman KKIP road networks requires prioritizing improvements in roadway conditions, increasing the number of lanes, optimizing traffic management, enhancing signaling systems, and effectively managing weather-related disruptions and new development projects. By implementing targeted strategies, it is possible to alleviate recurring congestion and mitigate non-recurring congestion, ultimately improving traffic flow and mobility in the area