eJournal Jabatan Pendidikan Politeknik dan Kolej Komuniti
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Family Factors and its Impacts on the Direction of Community Education in The Region of Sabah
Get PDFThe aim of this study is to identify the family factors and their impact on the direction of education among the community in Sabah. Currently, there are estimated 3.91 million people living in Sabah. The family factor in this study refers to three elements; which are family economy, family education level and family motivation. This study is a quantitative by using surveys as a data collection instrument. A total of 384 individuals among the population in Sabah were involved in this study. The information obtained was analyzed using Statistical Package for the Social Sciences (SPSS) version 26. The statistical analysis used in this study was descriptive and inferential analysis. The findings of the study found that family factors such as family economy, family education level and family encouragement have a significant effect on the direction of community education in the region of Sabah. The discoveries of the examination found that family factors like family economy, family education level and family encouragement significantly affect the direction of community education in the region of Sabah. In addition, the three factors are interrelated and mutually influential with each other
Functional Requirements of a C-Programming Problem-Solving Application
Get PDFProblem-solving skill is very important to be inculcated among the students to produce graduates that meet the demand of the Industrial Revolution 4.0 (IR4.0). However, novice programmers often face difficulties to perform problem-solving before developing a computer program. Therefore, there is a need to develop an application that can assist programmers in problem-solving. It can be done with the application of computational thinking (CT) concepts. The purpose of the application is to assist novice programmers to solve programming problems, especially in C-programming. This study has elicited the functional requirements of a problem-solving application. Requirement elicitation is an initial software development process that determines the functional and non-functional requirements of the application. However, this paper focuses only on the application’s functional requirements for the product requirement scope. The requirement elicitation was done using a triangulation strategy with qualitative approaches; semi-structured interview, document review, and an open-ended survey among five expert programming lecturers in Malaysian Polytechnics. The finding from this requirement elicitation has identified important elements that should be included in the problem-solving application. These elements are the input-process-output (IPO) chart which is combined with ten constructed scientific instructions and inquiries to facilitate the novices in problem-solving. The implication of these findings shows that the problem-solving process can be guided by the CT concepts to help students perform organized problem-solving and well-prepared programming coding.
 
Biobin for Kitchen Waste
Get PDFThe issues of waste management have been discussed around the globe to overcome the problem of high waste generated by people every day. This has been worsening with the area of dumping load becomes limited as the time goes by. This study intended to encourage a self-degradation habit since wastes could be regenerated as renewable products using a better waste management system. Going green means embracing a way of life that helps preserve the environment by reducing, reusing, and recycling items. Going green concept is learning and practicing an environmentally mindful lifestyle that contributes towards protecting the environment and preservation and conservation of the natural resources, habitats, and biodiversity. Using a Biobin also a way of going green, the aim of going green or using Biobin is to reduce pollution and reduce resources consumption and eliminate wastes. Biobin is developed to create a user-friendly bin for degradable wastes storage system. The Biobin is built with tank which fixes with components to enhance the digestion process. This Biobin functions to store the wastes, therefore when digestion reaction happens in the Biobin, the renewable of gas, solid and liquid will be produced. Pre-treatment, crushing, filtration and anaerobic digestion are processes cycle in the Biobin will be analysed. Both liquid and solid products as well as gas produced from the bio bin will be further evaluated for other beneficial usage such as fertilizer and short heating purposes. The sample of biobin has been introduced in this study to promote self waste management at every home. The findings of this study could contribute further recommendations for authorities to focus on enhancing household planning skills and routines when it comes to the food preparation
Polytechnic Students\u27 Perception of The Wearing Batik on Campus
No full textBatik is a textile art that has been around for a long time and it is one of the origins of Malaysian identity. Batik, which is a significant icon in Kelantan and Terengganu in particular, must be conserved and promoted so that the future generations would be aware of its legacy. The east coast batik industry may be enhanced by encouraging the students to wear batik on campus hence, encouraging the next generation to appreciate and be interested in wearing batik as an apparel. The goal of this research is to find out about students\u27 perceptions on the use of batik on campus, especially in Malaysian Polytechnics. The students’ perceptions on the use of batik were measured by identifying variables of self-awareness (internal), interest or outer factor (external) that the students have towards batik apparel. This research employs a quantitative method in which the data were gathered by distributing survey questionnaires to Malaysian Polytechnic students via Google Forms. The findings of this research revealed that the students have a good reaction by providing feedbacks that can be used as batik apparel to be styled
Wind Energy Preliminary Potential: A Case Study on Peninsular Malaysia\u27s East Coast
Get PDFWind energy is a limitless and renewable source of energy. Wind energy has been used since prehistoric times and continues to be used today. Nonetheless, wind energy has undergone a revolution in the form of electricity generation. However, wind energy is still used minimally in Malaysia to generate electricity. As a result, additional research should be conducted to optimize its use. This study aims to determine the shape of the wind speed distribution and determine the wind energy potential along the East Coast of Peninsular Malaysia in general, and specifically at Sultan Ismail College (SIC). Easy Fit and R software were used to analyse the data. The results indicated that the wind speed distribution in SIC is Weibull distributed and indicating that this location possesses wind energy potential for generating electricity. The findings show that 65.5 percent of the wind speed is greater than the wind turbine\u27s cut in value. Following that, additional research must be conducted until all necessary information is gathered. This discovery also fulfils Malaysia\u27s dream of wind-powered electricity generation
Well to Wheel Comparison Study between the Electric Vehicle (Tesla Model S 100D) and Internal Combustion Engine Vehicle (Hyundai Sonata 2.4 L)
Get PDFTransportation is leading energy usage and the primary cause of environmental pollution of carbon dioxide (CO2) or Greenhouse Gas (GHG) emission. The use of Electric vehicles (EV) will reduce the GHG emission that contributes to ozone depletion. In general, EV is considered environmentally friendly with no emissions at all. However, EV still contribute the GHG emission during battery charging and the electric vehicle manufacturing process. A ‘Well to wheel analysis’ is performed to determine the upstream pollution for both EV and Internal Combustion Engine Vehicle (ICEV) to acquire the total GHG produced by both types of vehicles. The analysis is done for Tesla Model S 100D (EV) with 2.4 L Hyundai Sonata (ICEV), which covers the emission emitted from both vehicles in one year with an annual driving range of 21000 km. The analysis can show the total emission produced by EV so that more awareness is created among the public about upstream pollution.  
Effect of Mesh Size on the Natural Frequencies of Lathe Spindle
Get PDFImproved computer numerical control (CNC) machine tool performance is critical in machining accuracy as modern manufacturing advances, particularly high-speed and high-precision machining. As a fundamental component of CNC machine tools, the dynamic properties of a spindle have a significant impact on machining performance. Modal analysis is one method for assessing the dynamic characteristics of mechanical components. Modal analysis is a process of extracting modal parameters (natural frequency and mode shape). This study aims to investigate how the mesh size of the finite element model affects the natural frequencies of the spindle. A three-dimensional model of the spindle was developed and analyzed in Autodesk Inventor software. Observation on changes of the natural frequencies was carried out by using a range of mesh sizes. The mesh size was controlled by varying the value of the average element size in AI modal analysis tool. The number of nodes and elements of the finite element models were compared, as well as the percentage of total error. Results revealed that mesh sizes have a significant effect on the accuracy in predicting natural frequencies. Differ in natural frequencies depend on the size of the mesh. Finally, significant research prospects are extensively explained based on present studies and will be critical in conducting modal analysis for machine tools spindle
Photovoltaic Low Voltage DC-DC Buck Converter for Maximum Power Point Tracker (MPPT)
Get PDFUtilization of renewable energy is a good potential approach to overcome environmental issues. Clean energy sources such as solar arrays, wind generators and others have drawn wide interest in both research and industry fields. However, solar energy attracts much attention because it can be used for powering varieties of appliances. Conversion of solar energy into electricity has no running cost due to freely available, improves generation of electricity, and reduces pollution due to fossil fuels. The efficient conversion of photovoltaic (PV) energy is feasible with Maximum point Tracking (MPPT) algorithm and a DC-DC converter. A MPPT is employed for extracting the utmost power from the solar PV module and transferring that power to the load. The voltage available from the PV module is variable and to get a stable voltage from solar panels, DC-DC converters are required for constant power production. This study used a synchronous buck converter as an interface between PV module and the load. The buck converter functions as a solar charge controller to step down the PV voltage to charge a 12V lead acid battery. The analysis was performed by collecting the voltage and current data from PV panel in different atmospheric conditions and the output voltage gain from buck converter. The efficiency of proposed buck converter is compared with the previous proposed traditional buck converter. The analysis shows that the efficiency of the proposed buck converter is 91.9% and it is improved compared to the traditional buck converter
Online Teaching & Learning During Covid-19 Pandemic: Exploratory Study on The Effectiveness of Google Classroom at Kolej Komuniti Bandar Darulaman
Get PDFThe COVID-19 pandemic is not a typical adjustment and readjustment to a pedagogical approach. Educators must quickly adjust and develop a plan of action, thinking of an out-of-the-box teaching method as the epidemic will not end soon. The COVID-19 pandemic spread for the second and third wave of infection, policies and measures to curb the disease are implemented, limiting the number of people congregating in public places. Such efforts have disrupted the normal functioning of schools and universities. This study aims to identify the effectiveness of Online Teaching & Learning (Online T&L) using Google Classroom (GC). A quantitative method of approach was used to utilise questionnaire tools to solicit responses from 180 students in Kolej Komuniti Bandar Darulaman (KKBDA). The questionnaire was administered using Google Forms. Findings were then analysed using SPSS. Results were presented in the form of frequencies and correlational analysis. The findings indicate a high degree of acceptance of Online learning. In terms of online learning effectiveness, more than half of the respondents, 70.6% (M=3.81, SD=.853), agrees that the Online T&L using Google Classroom is effective. These respondents used the type of internet connection exclusively mobile broadband through their mobile phone for internet access. 14% of the students indicate that their internet coverage is either poor and very poor. This could be linked to the internet access traffic, as well as network coverage. During Movement Control Order (MCO), internet access in housing areas was congested and slow as internet usage was very high due to working, learning and business from home. The outcomes of the analysis postulate that there is a high level of effectiveness in Online T&L. Underlying, it also indicates that Online T&L did provide prospects to the new breed of students with a better education and communication opportunities irrespective of time and place. A thorough study of every aspect of online learning is necessary as Online T&L is still in its early stages, especially the implementation of a holistic assessment. Diversifying the Online T&L methodologies, such as using Google Classroom, allows the lecturer to know whether the Online T&L effectiveness is achieved
The Development and Evaluation of Onion Peeling Machine for SMEs Industry
Get PDFAn onion peeling machine has been designed, developed and evaluated according to SMEs food industry needs. Previously the onion peeling process was done manually and required a lot of time and manpower. Therefore, this project was developed to produce onion peeling machine that can peel onions in larger quantities. The machine is designed by using drum application with AC motor control system and microcontroller. The drum speed is controlled through the use of a variable frequency drive (VFD) at a maximum speed of 40 rpm. Meanwhile, the microcontroller is used to control the motor rotation at the specified time. The drum will rotate the onions in one direction at maintain speeds without damaging the onion structure. The evaluation process was conducted under three different drum rotational speeds (30, 35 and 40 rpm), three different peeling times (2, 3 and 4mins) and three different batch loads (2, 4 and 6kg). The evaluation shows to achieved the quality of onion peeled in 2 to 4kg, 2 to 4 minutes’ rotation with an ideal speed of 30 rpm to 35 rpm are used. It saves up to 2 times from the traditional peeling method. The usage of minimal electricity, low maintenance and can be operated by only one employee is also an extra benefit to the industry. With the innovation of this onions peeler machine, it is expected to meet the demands of small and medium Enterprises (SME) industries in producing low cost machines with high productivity products