eJournal Jabatan Pendidikan Politeknik dan Kolej Komuniti
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    436 research outputs found

    Students’ Perception on the Use of QR Code-Based Learning Notes as an Innovative Teaching and Learning Tool

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    Almost all adults have a smartphone, at least one for each person. The community college students, who are almost 100 per cent teenagers in the age range of 18-23, are no exception to having a smartphone, as it seems to have become a necessity of life nowadays. This powerful gadget has a variety of interesting functions and can simplify the daily affairs of life if it is utilised in the right and effective channel. This innovation was developed to make it easier for students to access the Computer Installation Course notes more easily and comfortably, as long as there is internet access on their phones. Easy-to-access notes allow students to revise at a time of their own discretion. All this will speed up their process of recognising computer components and, in turn, make it easier for them to perform the work of installing computer components as contained in the course structure. A survey of 30 respondents, consisting of Information Technology Certificate students, was conducted and analysed using SPSS version 26 software to obtain feedback from respondents on the implementation of this 1Page IT Reminder. Findings revealed a high level of satisfaction among respondents, particularly regarding the website content and accessibility. Moreover, the system supports sustainable practices by replacing traditional paper-based notices with a single digital sheet, significantly reducing paper consumption. The 1Page IT Reminder demonstrates that integrating mobile technology into technical education can enhance learning efficiency while promoting environmental sustainability

    Design and Implementation of a Portable Smart Oscilloscope with Android Interface for Lab Applications

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    This study presents the design, development, and formative evaluation of a portable smart digital oscilloscope prototype, intended to address limited access to diagnostic tools in electronics laboratories within Technical and Vocational Education and Training (TVET) institutions. Built with a Raspberry Pi Pico microcontroller and the Scoppy Android application, the device enables real-time waveform visualization through mobile integration at low cost. A design-based development approach guided the construction, functional testing, and usability evaluation. Functional testing using standard waveform inputs demonstrated stable signal rendering, low latency, and adequate responsiveness for foundational electronics instruction. Usability was evaluated with 30 diploma students using a modified instrument adapted from the System Usability Scale (SUS) and Technology Acceptance Model (TAM), validated through expert review and pilot testing. The results confirm the feasibility and educational relevance of the prototype in supporting student-centered, mobile-assisted learning. Future work will expand testing across institutions and explore integration with structured teaching materials to maximize pedagogical impact

    Utilizing Social Media Platforms in Teaching and Learning English Language Perceptions of PTSB Students

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    This paper aims to demonstrate students\u27 perception about the use of social media in learning English. With the vast spread of various social media, it is utilized by educators and content creators to teach and share English lessons. The teachers able to maximize it’s usage in education approaches. To narrow down, this study identifies Politeknik Tuanku Sultanah Bahiyah (PTSB) students\u27 perceptions on the usage of social media applications in English teaching involving a total of 100 Diploma students who are taking DUE50032 Communicative English 3  course. They are required to engage in social media-based activities conducted on the course\u27s e-learning site for 10 weeks. Throughout the 10 weeks, they were instructed to complete several assignments, quizzes and tasks to be assessed. At the end of the 10th week, a questionnaire was given to the students to identify their perception of the activities that had been carried out. The findings of the study show that students think Wiki has helped them in improving their writing, while YouTube videos are widely used to improve speaking skills. Additionally, Facebook discussion groups are considered useful for learning grammar and vocabulary. Twitter is only used to receive information about the definition of words. A discussion on the strengths and weaknesses of social media in learning English language learning and suggestions for increasing the potential of such applications are also included. Educators are advised while endeavouring to promote knowledge sharing in terms of collaborative learning through social media, simultaneously, to raise students’ awareness of academic integrity and also provide proper training

    The Level of Implementation of The PSH Program in The Beauty and Grooming Cluster to The Community Around Masjid Tanah

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    Experience and skills are among the very important elements to get job opportunities and to improve the individual\u27s socio-economic level. Therefore, Lifelong Learning (PSH) was created to meet the needs of the local community to acquire knowledge and skills to improve their socioeconomic status. Various PSH programs have been carried out, but there is still a lack of research on the level of PSH program implementation in the Beauty and Grooming cluster. Therefore, this study was carried out to find out the level of implementation of the PSH program in the Beauty and Grooming cluster in improving skills among the community around Masjid Tanah. In addition, this study was also carried out to find out the level of skill improvement of the participants in terms of age difference and education level. The instrument used is an adaptation of the Community College Impact on Local Communities questionnaire that has been developed by the JPKK Research and Innovation Center (PPI) (2017). Descriptive and inferential analysis using the Statistical Package for Social Science Software (SPSS) version 27 to measure the mean score and ANOVA. The results of the study show that the level of implementation of the beauty and grooming cluster PSH Program is at a high level of interpretation for the instructor (μ= 4.5624), the program (μ=4.5425) and the infrastructure (μ=4.3763). In addition, there is no significant difference between the improvement of skills against the age difference for the instructor factor (p=0.152) and the program (p=0.118) but there is a difference for the infrastructure factor (p=0.005). Besides, there is no significant difference between the improvement of skills and the difference in the level of education of the program participants for all three factors. The results of the study are expected to further improve the quality of short course implementation at KKMT.  Keywords: Community College, Lifelong Learning, level of implementatio

    Evaluating of Graduate Programme Educational Objectives (PEO) Achievement in Diploma in Electronic Engineering (Communication) Program

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    As the highly skilled professionals in electronic engineering demand continuously increases, it is essential to examine how well educational programs are equipping graduates for industry needs. Program Educational Objectives (PEOs) are a tool to measure how academic achievements align with the skills required in the professional world. This study assesses how well the Diploma in Electronic Engineering (Communication) (DEP) program equips graduates to meet industry demands, focusing on Program Educational Objectives (PEOs). Four key PEOs were evaluated: practicing as technicians in electrical engineering (PEO1), contributing to society with professional ethics (PEO2), engaging in entrepreneurial activities using engineering skills (PEO3), and enhancing knowledge for career advancement (PEO4). The evaluation used a mixed-methods approach, combining structured questionnaires for quantitative data and interviews with an industry advisory panel for qualitative insights, involving 36 graduates from 2018-2019. Findings showed that 67% of graduates met PEO1, 94% achieved PEO2, 67% accomplished PEO3, and 72% fulfilled PEO4. The results suggest that updating the curriculum to emphasize entrepreneurial training, leadership development, and advanced technology integration would better align graduates with workforce needs. Feedback from the Industry Advisory Panel highlights the importance of continuous curriculum improvements to address evolving industry expectations and challenges

    An IoT-Enabled Smart Safety Helmet for Enhancing Worker Protection on Construction Sites

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    Construction sites are hazardous environments where workers are frequently exposed to heavy machinery, extreme temperatures, and various harmful materials. These conditions significantly increase the risk of both fatal and non-fatal accidents. Although conventional personal protective equipment such as safety helmets is widely used, it typically lacks real-time hazard detection and rapid emergency response capabilities. This study presents the design and prototype development of an IoT-enabled smart safety helmet aimed at enhancing worker protection through continuous environmental monitoring and automated hazard alerts. The helmet integrates gas, temperature, and light sensors with a NodeMCU ESP32 microcontroller. This integration enables automated activation, real-time data acquisition, and wireless transmission to a central monitoring dashboard. The system features onboard decision-making that triggers alerts when sensor readings exceed predefined safety thresholds, providing immediate feedback and facilitating prompt preventive action. Sensor data are transmitted via Wi-Fi to allow real-time supervision and automated incident logging. The prototype was initially validated under simulated hazardous conditions and subsequently tested on active construction sites to assess its functionality in real-world environments. Results indicate that the smart helmet effectively detects hazardous conditions and delivers timely alerts, thereby enhancing worker protection and situational awareness. A comparative analysis between IoT-equipped and non-equipped zones confirmed improved risk mitigation and supervisory responsiveness. These findings highlight the potential applications of IoT-based smart safety helmets as a promising wearable device for improving health and safety management in high-risk construction environments, aligned with the broader goals of Industry 4.0

    Assessing Light Pollution from Streetlight Designs along Major Streets in Kota Kinabalu Towards Sustainable Urban Lighting

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    Light pollution from streetlights is becoming an increasingly serious issue, impacting ecosystems, human health, and astronomical visibility. In Kota Kinabalu, efforts to address the effects of street lighting remain limited, resulting in low public awareness of its consequences. This study examined light pollution in two major streets in Kota Kinabalu: Jalan Tun Fuad Stephens and Jalan Pasir by measuring the brightness and visible spectrum of streetlights using a digital lux meter and smartphone camera equipped with 500 lines/mm diffraction gratings. The collected data were analysed to assess how streetlight designs affect the environment, with a focus on comparing theoretical and measured lux and lumen values. The findings revealed that the installed streetlight bulbs contributed to light pollution, particularly through lux levels that exceeded standard limits by 60%, as well as the emission of potentially harmful wavelengths such as blue and violet light. These results offer valuable insights that can help shape better urban lighting designs. Additionally, the findings can assist local governments in balancing public safety, energy efficiency, and environmental protection in street lighting designs. Future studies should expand to other areas, such as Tawau and Semporna, where sea turtle populations are common. This would help protect these creatures from the adverse effects of artificial lighting on marine ecosystems. Finally, wavelength measurements in future research could be refined using a spectral light meter to enhance accuracy

    Ergonomic Risk Assessment of Backpack Leaf Blower Operation: A Case Study of Outdoor Cleaning Staff in a Malaysian Polytechnic

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    Outdoor cleaning tasks expose workers to ergonomic risks due to repetitive motions, awkward postures, and prolonged equipment handling. Poor working conditions pose significant detriments, leading to physical strain for employees and negative economic repercussions for employers. Despite these concerns, such risks remain understudied in Malaysia, prompting this study to investigate the ergonomic hazards associated with backpack leaf blower operation among cleaning staff at a Malaysia polytechnic. The research aims to assess musculoskeletal discomfort, identify ergonomic risks, and propose interventions to enhance worker safety and comfort. Five workers participated in the study, with data collected using the Ergonomic tools employed included the Body Map Questionnaire to assess discomfort, an Initial Ergonomics Risk Checklist to evaluate postures, repetitive motions, force exertion, and noise exposure, as well as task observations and noise measurements. Results showed that musculoskeletal discomfort was prevalent, with significant discomfort reported in the lower back, shoulders, and neck. The discomfort was linked to awkward postures, repetitive arm movements, and prolonged force exertion while operating 6 kg backpack blowers for extended periods. Noise exposure also exceeded permissible limits, indicating potential hearing risks. These findings highlight a lack of ergonomic research on Malaysia’s outdoor workforce and the need for targeted interventions. The study recommends advanced ergonomic assessments such as the Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA), along with preventive measures including ergonomically designed equipment, job rotation, and personal protective equipment like ear protection and anti-vibration gloves. The outcomes contribute to improving worker well-being and promoting compliance with occupational safety standards in the outdoor cleaning sector

    Characterisation of Polyhydroxyalkanoates (PHA) Extracted from Palm Oil Mill Effluent Using Different Solvents

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    Polyhydroxyalkanoates (PHA) represent a class of biodegradable polymers with immense potential for mitigating environmental issues associated with conventional plastics. Palm Oil Mill Effluent (POME), an abundant byproduct of the palm oil industry, serves as an economically viable source for PHA production. This study focuses on the characterisation of PHA extracted from POME using a variety of solvents and solvent mixtures. The solvents employed in this research include mixtures of acetone (AC) and ethyl acetate (EA) in the ratios of 75:25, 50:50, and 25:75. The choice of solvent during the extraction process significantly influences the yield and properties of the extracted PHA. This research employs a systematic approach to assess the impact of different solvents on PHA yield. The extraction process involves the collection of POME samples from local palm oil mills, followed by the isolation of PHA using solvents of varying polarities. The extracted PHA was characterised using UV-Vis spectroscopy to determine the efficacy and purity of each solvent and solvent mixture in PHA extraction. The UV-Vis spectral analysis revealed distinct absorption peaks corresponding to the presence of PHA. The extraction efficiency and purity of the PHA varied significantly with the choice of solvent and solvent mixture. Acetone exhibited a strong absorption peak, indicating a high efficiency in PHA extraction, while ethyl acetate showed moderate results. Results indicated that the solvent mixture of AC and EA in a 25:75 ratio yielded the highest purity of PHA, 86%, with a loss of 14%. The findings are anticipated to inform the optimisation of solvent selection, furthering the goal of utilising POME as a valuable resource for environmentally friendly PHA production

    Development of a Portable LoRa-Based Data Logger System for Enhanced Flash Flood Monitoring in Remote Upstream Catchments of Sarawak

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    In Sarawak, flash floods are often triggered by intense rainfall over hilly and upland catchments, causing rapid runoff into major rivers and their tributaries. These events pose significant risks to downstream towns, particularly when they coincide with high tides. Although Automatic Weather Stations (AWS) provide essential environmental data for the National Flood Forecasting and Warning System (PRAB), their fixed locations result in limited coverage in remote tributaries. This creates spatial data gaps that reduce the accuracy of flood prediction and early warning. This project aimed to develop a low-cost, portable data logger system to complement existing AWS infrastructure by enabling real-time monitoring in remote upstream areas. The proposed system is equipped with a LoRa communication shield and a micro-SD card to allow efficient data transmission and storage while operating independently of internet access and the power grid. It also includes locally processed alerts, enabling immediate early warning in the surrounding area with the same data forwarded to the nearest AWS or server for further dissemination via PRAB. Sensor modules were calibrated to maintain accuracy within a 1% error margin. The system was validated through flood simulation tests and performance evaluation of the LoRa 915 MHz communication module, which demonstrated a strong linear correlation between transmission distance and received signal strength (RSSI). Preliminary analysis using SRTM-derived Digital Elevation Model (DEM) data and hydrological tools in QGIS supported strategic data logger placement. Long Banga was selected as a representative site due to its location in a flash flood-prone sub-catchment with limited AWS coverage. Overall, the proposed system enhances localised flood detection, supports PRAB data requirements, and cost-effective solution for strengthening early warning capabilities in remote river basins

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