1,665 research outputs found
SOCSO Seri Manjung / Noor Iylia Ulul Azmi
No full textThis report summarized six-month industrial training at SOCSO Seri Manjung. The training period of the internship started on 1 March and ended on 13 August 2021. Pn Rossita Binti Ladin is my supervisor. SOCSO Seri Manjung Office officially was opened to all its customers on 15 March 2016.SOCSO Seri Manjung offers internship opportunities to the students in need of practical training about how is the exactly of SOCSO and the process of claiming the benefits. During my internship period, I was assigned to all department. The main responsibility is to filing organisational letters and documents and recording them, filing compensation payment cases (BGB) and making payments, filing recovery cases, register employment insurance system (SIP) benefit application and file it, register new employers and employees and pay them, recording and registering office assets. The knowledge and experience that have gained during this industrial training at the company enabled to interact and approach with various types of people and clients which will further improved communication skills and others skills also. For the SWOT analysis, this report will summarize based on experience at SOCSO Seri Manjung. In terms of strength, SOCSO has sustained value of assets & reserves and also variety of services that provided. For the weakness, SOCSO has facing unsystematic filling system and they sometimes late on picking up the telephone. Apart from that, the opportunities of SOCSO is SOCSO will become the premier of social security and they have investment proactive measure. Last but not least, threats. SOCSO currently is facing other private insurance provider. They need to compete with other private insurance. During this pandemic, SOCSO also facing that some project or task being postpone due to Covid-19. Lastly, I am grateful for the knowledge I acquired during my industrial training which will be useful in my future career and will prepared me to face any challenges. This training has helped me becomes more self-assured and independent when dealing with people and problems
Performance analysis of location update in LTE based network / Noor Elfi Aziani Noor Azmi
No full textA tremendous demand on mobile wireless technology due to the ability in providing users with information on the move has pushed development of mobile communication. Heterogeneous network architecture has attracted attention to boost performance and requirement of coverage in the most cost effective way. However, a massive volume of data to be processed and tunneled through network increased signaling traffic and long signaling delay. The aim of this project is to reduce signaling cost incurred in cellular network. Two schemes, centralized location management and distributed location management are proposed in handling a cost efficient signaling traffic. A simulation algorithm is developed using MATLAB software to evaluate signaling cost. The simulation is carried out using different parameters which are number of UEs at one time within network and network size. The result shows that, distributed location management has better performance in reducing signaling cost when number of UEs and network size increased
Transkrip wawancara bersama Encik Mohd Sukri bin Mohamed Noor tokoh usahawan pembuatan laksa / Nur Syafiqah Mohd Norizan and Siti Nursyakira Nor Azmi
No full textTranskrip yang ditulis ini mengandungi temu bual bersama seorang tokoh yang bernama Encik Mohd Sukri Mohamed Noor antara Siti Nursyakira Bintz' Nor Azmi dan Nur Syafiqah Bt Mohd Norizan. Temubual ini akan menceritakan mengenai pengalaman hidup beliau dari zaman dahulu hingga sekarang dalam mengendalikan syarikat perusahaan miliknya. Tokoh yang dipilih ini merupakan seorang usahawan yang berjaya dalam menceburkan diri beliau dalam perniagaannya yang diberi nama JCH Food Industries Sdn Bhd. Perniagaan ini memproses, mengilang dan mengedar makanan seperti mee kuning, kuetiau, bebola ikan, laksa segar dan laksam yang dijenamakan sebagai 'Jaafar Che Halimah'. Beliau berjaya menghasilkan produk yang merupakan I00% produk bumiputera Islam. Mereka menjalankan tanggungjawab fardhu kifayah untuk menyediakan produk makanan yang BERSIH, SUCI dan HALAL. Temu bual ini juga akan merungkaikan latar belakang syarikat, sokongan dan dorongan serta cabaran yang dihadapi dalam mengekalkan jenama ini sehingga kini
Malaysian household debts in relation to macroeconomic factors / Nur Syafiqah Noor Azmi
No full textThe spike in Malaysia's household debts has caused stoked tensions as it has nearly reached 82.2% of total GDP. The amount of household debts, as it may cause another financial crisis is considered to be troubling. The purpose of this study is to analyse factors that influence household debts in Malaysia via time series data. This study employs multiple linear regression method and the macroeconomic variables used consist of housing prices, household income, and population growth as independent variables taken in the period from 2002 to 2019. The results show that the population growth is the most significance variable, followed by household income and housing prices. Population growth and household income would have a positive impact on household debts, indicating that the increase in household debts is dictated by the increase in these explanatory variables. However, housing prices would exert a negative influence on the rise of household debts. Findings of this study could provide some guidance to policymakers in controlling the mounting debt level and help in realizing the nation economic goal
Application of multistage evolutionary programming for reactive power control in power system / Noor Azmi Mohd. Radzi
No full textThis final year project discussed the application of multistage evolutionary programming for reactive power dispatch in power system. Several techniques have been developed to make the EP suitable to the practical optimal problems of large scale systems. Simulation results are presented to show the potential for applications of the proposed method to power system economical and secure operations. Distribution system through network reconfiguration is realized to be operated under minimized loss condition due to a large consumption in power energy nowadays. This final year project presents a technique for networks reconfiguration that aims to improve voltage stability and hence minimized the loss. By presenting the relationship between voltage stability and loss minimization it can be shown that voltage stability is maximized when power losses are minimized in the network. Simulation studies on IEEE 30-bus Reliability Test System (RTS) are presented to illustrate the methodology and to demonstrate the benefits of the proposed method using MATLAB programming language
Assessment of quality management practices’ maturity in palm oil organization / Nor Azmi Noor Saaid
No full textMalaysia palm oil is the biggest profits producing contributor for our economy. The palm oil industry is one and only of the highly organized sectors in agriculture which effectively balance each other’s to become more diversified sector. The quality management system implemented has not been effective and should be immediately carried out a corrective action to address such deviations. Quality management practices are lack of checklist system that needs to monitor the management, performance and handling in oil palm industry per day. This research attempts to comprehend the usage of maturity model in evaluating quality management in the industry to develop a checklist maturity level of management practices in palm oil organization. All the data had been used in this study is taken from primary document Malaysian Palm Oil Board, thesis and journals. This paper also presents a Systematic Literature Review (SLR) on assessment of quality management maturity practices in palm oil organization. The final selection comprehends 40 articles using SLR is selected and comprehensively analyzed to develop maturity checklist to ensure maturity level in palm oil organization. As a result, the maturity assessment had been developed that can be useful to improve the quality management practices in palm oil organization for a long term
ICT learning prototype for secondary student in rural area using rule-based / Siti Nadiah Noor Azmi
No full textInteractive multimedia is one of the medium for learning, also known as Computer-based Learning has widely utilized for instruction and learning aid especially with classroom computer. Besides, as an integral part of education, the Information and Communication Technology (ICT) has made a path into learning and education which give a positive impact towards learning outcome. Furthermore, the developments of courseware mostly to assist students achieve the resolution on learning ICT in schools as well as being applied outside the wide world. In reality, the digital divide is an efficient path to access into digital technologies, but the limited access of internet in rural areas has widened up the gap of technology development between urban and rural area. This project aims to develop a learning prototype in order to help students in the rural area of Sekolah Menengah Kebangsaan Tengku Temenggung Ahmad (SMKTTA) to enhance ICT knowledge and skills among students. Nevertheless, schools in rural area play an importance role to develop the knowledge and skills among students as well as helping develop the country. Rule-based technique is been used in this project. In this project, a methodology based on ADDIE Instruction System Model focus on five phase which are Analysis, Design, Development, Implementation and Evaluation. The research instrument was in the form of questionnaire that consisted of various attributes included content, comfortability toward computer, confidentiality of following the task given and equipment that available for the students. As a conclusion, the project’s objectives are achieved and there are some recommendations to improve the project and make it more efficient. For the improvement, this project should cover other type of syllabus and intend to dual language
Prediction on weather forecast based on cloud shapes using CNN / Muhammad Ashraff Noor Azmi
No full textThis thesis aims to address the challenges in weather forecasting, particularly the reliance on hardware-intensive methods and the limited coverage of weather stations in inhabited regions by analyzing clouds, with their diverse shapes and colors, serve as vital indicators for predicting atmospheric conditions. Recognizing the impact of cloud shapes on temperature regulation, meteorologists traditionally rely on large computer systems for weather prediction. To overcome the limitations of traditional methods, this research proposes a system utilizing Convolutional Neural Networks (CNN) for accurate weather prediction based on cloud shapes. The CNN model is designed to process visual information, identify cloud patterns, and forecast weather conditions with improved accuracy, speed, and reduced model size. Remote weather stations are recommended to broaden weather monitoring coverage, especially in isolated regions where dependence on inhabited-area stations can lead to delayed or incomplete information, posing risks to agriculture and resource management. The development phase focuses on implementing the CNN algorithm specifically for weather prediction based on cloud shapes. The results demonstrate the model's effectiveness, emphasizing the importance of balancing training and testing datasets with an accuracy of 93.59%. Evaluation results indicate that the Customized Xception Model with Intermediate Dense Layer outperforms the Simplified Xception Model, with an average accuracy of 0.915 compared to 0.88. This notable accuracy difference highlights the superiority of the Customized Xception Model with an Intermediate Dense Layer. Consequently, this model is selected as the system of choice. In conclusion, this project successfully achieves its objectives by proposing a CNN-based approach for accurate weather prediction, addressing the limitations of traditional methods. The research highlights the potential of remote weather stations to enhance coverage and reduce risks associated with incomplete information. While acknowledging limitations, this work serves as a foundation for future system improvements, emphasizing the positive contributions made in advancing weather prediction methodologies
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