Displaying publications 41 - 60 of 75 in total

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  1. Nur Suhana Mohd Ali, Norilyani Izzati Hasanuddin, Nurul Atiqah Azizan, Asiah Abdullah, Nur Nadia Dzulkifli, Ropisah Me, et al.
    MyJurnal
    Layered double hydroxide (LDH)-based nanocomposite, created by interacting LDH with another nanoparticles usually applied in the area of environmental, catalytic, industrial and biomedical field. In this study, a new herbicide delivery system was developed through the intercalation of Magnesium Aluminiumlayered double hydroxide (MAN host) with 4-chlorophenoxyacetic acid (4-CPA). This intercalation was done by using co-precipitation method at pH 10 with different concentration of 4-CPA which were 0.5 M and 0.7 M. The successful intercalation was obtained at 0.7 M Magnesium Aluminium-4-chlorophenoxyacetic acid (MAC) and had been confirmed through several analysis. Firstly, the XRD pattern shows expansion of basal spacing shifted from 8.9 Å to 9.3 Å. This result supported by the FTIR-ATR spectrum that shows the disappearance nitrate peak (NO3 - ) and appearance of carboxylate ion (COO- ) peak at 1596 cm-1 . Furthermore, this intercalation was validated with the result of surface morphology by FESEM. The controlled release study of 4-CPA from 0.7 M MAC shown sodium carbonate solution released the percentage of 4-CPA higher than tap water. This study has signifies MAC as a safer agent of agrochemicals by reducing the dosage of herbicide in the agriculture field and protect the herbicide through encapsulation system.
  2. Nur Hanim Mohd Salleh, Husna Hasan
    MyJurnal
    Annual air temperature data obtained from twenty-two meteorological stations across Malaysia are modeled using multiple regression. A correlation test was conducted to find statistical relationship between each of the dependent variables: annual maximum and annual average air temperature and predictor variables: longitude, latitude, elevation and wind speed. Regression models using least square estimation method were developed relating the dependent variables to independent variables and the adequacy of the models is determined by the coefficient of determination. The result shows that the longitude and wind speed factors have a significant influence on the annual air temperature in Malaysia.
  3. Shaari AR, Mohd Jani MN, Mohamed Yunus AS
    MyJurnal
    Wheelchair has been an important assistive device and the demand are ever rising because of the increasing physically handicapped and old age populations. The recent development in the robotics artificial intelligence extends vast scope for developing the more advanced and intelligent one to overcome limitations of the existing traditional wheelchairs. The prototype smart wheelchair were present on this paper using hardware implementation with the help of simple hand gesture which is comprises of an accelerometer mounted on the hand glove senses the tilt angle of the user hand movements and transmits control signal to the receiver mounted on wheelchair. This will interpret the movement accordingly required by user. The wheelchair control unit is developed by integration of ATMEGA328 microcontroller with Arduino UNO. The wheelchair is developed to allow peoples to move safely and put reliability in accomplishment of some important tasks in daily life.
  4. Sujaul, M.I., Salah, M.G., Arafat, M.Y., Abdulsyukor, R., Idris, A.
    MyJurnal
    Surface water is a quick impact of pollution because of their easy accessibility for disposal of wastewater. Natural processes and industrial activities determine the quality of surface water in a region. The study was done to evaluate the surface water quality of Gebeng industrial estate, Pahang, Malaysia. Ten stations were established along the Tunggak and Balok River to collect water samples. The data were calculated according to Water Quality Index which obtained by Department of Environment (WQI-DOE) and categorized to compare with National Water Quality Standard Malaysia (NWQS). Water quality of Gebeng was classified based on WQI Malaysia as class III (51.9 – 76.5), and IV (< 51.9) which are slightly polluted and polluted due to low levels of DO and pH, and high levels of AN, BOD, COD, and TSS. It is clear that stations IZ2, IZ3, HA1, HA2, DS are received the largest pollutants discharged from the industrial sector. Generally, the results of this study will be very useful for policy maker and future studies to control and management of pollution in the study area.
  5. Noorul Aini Sulaiman, Nur Zazarina Ramly, Shuhaila Mat-Sharani, Nor Muhammad Mahadi
    MyJurnal
    Protease is an enzyme that catalysed the hydrolysis of protein into peptide. Application of protease in industry has been linked with cost effective substrates and complex of enzyme-substrate stability. Molecular docking approach has identified casein as a preference substrates. However, lack of data on casein mode of binding to protease and enzyme stability represents a limitation for its production and structural optimization. In this study, we have used a molecular dynamic (MD) to examine the stability of complex enzyme-substrate of protease from Bacillus lehensis G1. The 3D structure of protease (BleG1_1979) was docked with substrate casein using AutoDock Vina. Structural analysis of the substrate-binding cleft revealed a binding site of casein was predominantly at the hydrophobic region of BleG1_1979. The MD of complex BleG1_1979-casein was tested with two temperatures; 298 K and 310 K using GROMACS v5.1.4. MD simulation showed a stable behaviour of BleG1_1979 over the 20 ns simulation period. The molecular docking and MD simulation suggested that the production of protease from B. lehensis G1 by utilization of casein and the stability of complex protease-casein could be a potential application to generate a cost effective enzyme to be develop for industrial use.
  6. Ali Md Nadzalan, Muhammad Hannan Sazali, Mohamad Shahrul Azzfar
    MyJurnal
    As a way to enhance performance in sports, apart from in-field or in court training, athletes are recommended to adopt resistance training into their training routine. As an exercise that needs the performer to split their legs, lunge is suggested to be included as an exercise in a training session. Various researches had been conducted on lunge and several findings showed different methods or protocols of lunge affect the kinematics, kinetics muscle activation and fascicle behaviour response during the exercise. Although not much study conducted on the chronic adaptations, the existing studies suggested that performers should well plan the training protocols as this will cause different training adaptations.
  7. Jamaliah Jahim, Rafiqqah Mohamad Sabri, Nurleyna Yunus
    MyJurnal
    In this research, sago mill effluent was treated using anaerobic sequencing batch reactor (ASBR). Seven HRT from 10 to 1.5 days were tested to evaluate the methane production from sago mill effluent. The findings revealed the highest methane production rate was found at 1.288 L CH4/L reactor. d under HRT of 2 days The results showed that COD removals decreased from 70% to 47% as HRT was reduced from 10 to 2 days. The HRT 1.5 days was found critical for the studied system, which leads to decreased in methane production, yield and COD removal. Overall, ASBR was capable to treat sago mill effluent in producing methane by means of anaerobic digestion.
  8. Ibrahim, R.E., Talari, M.K., Sabrina, M. Yahaya, Rosmamuhamadani, R., Sulaiman, S., Ismail, M.I.S.
    MyJurnal
    The aluminium-silicon (Al-Si) based on Metal Matrix Composites (MMCs) is widely used in lightweight
    constructions and transport applications requiring a combination of high strength and ductility. A grain
    refinement plays a crucial role in improving characteristics and properties of Al alloys. In this investigation,
    titanium diboride (TiB2) and scandium (Sc) inoculants were added to the Al-Si alloys for grain refinement of
    an alloy. In this investigation, the corrosion resistance rate of Al-Si cast alloy reinforced by TiB2 and Sc were
    measured by potentiostat (AUTOLAB) instrument. The aim of this research is to investigate the corrosion
    rate for Al-Si-TiB2-Sc composites that immersed in different concentration of acidic solutions. Besides, the
    immersion time of acidic solutions also was investigated. All the samples were prepared accordingly for
    ASTM standard by the composition of 6.0 wt% TiB2 and 0.6wt% Sc. All the samples undergo cold mounting
    technique for easy handling on corrosion tests. Then the samples were immersed in two different
    concentrations acidic medium solutions, which were 0.1.and 1.0 M hydrochloric acids (HCl). The corrosion
    rate also was investigated for immersion samples of 1.0 M HCl for 21 days. From the results obtained, added
    TiB2 and Sc onto Al-Si alloy gave the better properties in corrosion resistance. Corrosion rates to reduce when
    the samples were immersed in a lower concentration of acidic medium, 0.1 HCl. However, there are some
    significant on the result but it still following the corrosion rates trend. Thus, improvements to reinforcement
    content need to be done in further research to cover the lack of this corrosion rates trend.
  9. Norazrin R., Ahmad Shukri Yahaya, Hazrul Abdul Hamid
    MyJurnal
    The aim of this study is to predict the next day PM10 concentration using Bayesian Regression with noninformative
    prior and conjugate prior models. The descriptive analysis of PM10, temperature, relative humidity,
    nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and ozone (O3) are also included. A case
    study used two-years of air quality monitoring data at three (3) monitoring stations to predict the future PM10
    concentration with seven parameters (PM10, temperature, relative humidity, NO2, SO2, CO, and O3). The descriptive
    analysis showed that the highest mean PM10 concentration occurred at Klang station in 2011 (71.30 µg/m3
    ) followed
    by 2012 (68.82 µg/m3
    ). The highest mean PM10 concentration was at Nilai in 2012 (68.86 µg/m3
    ) followed by 2011
    (66.29µg/m3
    ) respectively. The results showed that the Bayesian regression model used a conjugate prior with a
    normal-gamma prior which was a good model to predict the PM10 concentration for most study stations with (R2 =
    0.67 at Jerantut station), (R2 = 0.61 at Nilai station) and (R2 = 0.66 at Klang station) respectively compared to a
    non-informative prior.
  10. Sharuddin Mohd Dahuri, Nor Hakimah Ahmad Subri, Norashady Mohd Noor
    MyJurnal
    his paper presents the structure and static model of engine camshaft analysis. For the purposes of this analysis, the finite element method is used. Camshaft is one of the critical components for effective and precise work of internal combustion engines. This camshaft rotates at high speed causing pressure and vibration in the system. Camshafts are also subject to varying fatigue burden due to cam plunger contact. These precise values are required to be determined to prevent failure in the camshaft. The objective of the project is to model and to perform pressure analysis on the camshaft machine. In this project the standard engine cam shafts are modeled and analyzed using the CATIA V5R21 software respectively. This model is created by the basic requirements of the engine. It is done with an existing background, such as the power of acting on cam by means of a valve while running at maxi mum speed. Here the approach becomes fully CAE based. CAE - based approaches enrich Research and limit the time span. A study was conducted to predict the behavior of the different camshafts structure of the material using the finite three - dimensional pressure of the element. Four types of materials such as Steel, Titanium, Aluminum and Magnesium are taken into account. FEA Stress and maximum displacement decisions are calculated and compared to all of the above materials. The conclusion is to focus on the material suitable for the camshaft to reduce the maximum displacement and weight. Titanium materials become the best material for camshaft manufacturing based on analysis.
  11. Huah, Leang Suh, Wan Hasrulnizzam Wan Mahmood, Muhamad Arfauz A. Rahman
    MyJurnal
    Manufacturing systems, in pursuit of cost, time and flexibility optimisation are becoming more and more complex, exhibiting a dynamic and nonlinear behaviour. Unpredictability is a distinct characteristic of such behaviour and effects production planning significantly. Complexity continues to be a challenge in manufacturing systems, resulting in ever-inflating costs, operational issues and increased lead times to product realisation. This challenge must be met with appropriate decision-making by manufacturing companies to secure competitive advantage without compromising sustainability. Assessing complexity realises the reduction and management of complexity sources which contribute to lowering associated engineering costs and time, improves productivity and increases profitability. Therefore, this study was undertaken to investigate the priority level and current achievement of manufacturing performance in Malaysia’s manufacturing industry and the complexity drivers on manufacturing productivity performance. The results showed that Malaysia’s manufacturing industry prioritised product quality and they managed achieved a good on-time delivery performance. However, for other manufacturing performance, there was a difference where the current achievement of manufacturing performances in Malaysia’s manufacturing industry is slightly lower than the priority given to them. The strong correlation of significant value for priority status was observed between efficient production levelling (finished goods) and finish product management while the strong correlation of significant value for current achievement was minimised the number of workstation and factory transportation system. This indicates that complexity drivers have an impact towards manufacturing performance. Consequently, it is necessary to identify complexity drivers to achieve well manufacturing performance.
  12. Ahmad Nawawi Mohd Amin, Wan Hasrulnizzam Wan Mahmood, Seri Rahayu Kamat, Ilyana Abdullah
    MyJurnal
    The purpose of this paper is to prepare a conceptual framework of hybrid lean and ergonomics for assembly manufacturing process based. The research used PDCA approach as a basis in linking the relationship between lean manufacturing and ergonomics. Comprehensive literature review identify the lean ergonomics issues, best practices, and also the way to improve the ergonomic conditions in the workplace, especially those impacting employees on the assembly process. The findings show that the job design strategies for reducing extreme injuries influence by repetitive tasks. Selections of lean tools and technique, human factors analysis and lean performance measure are the key point on the stages of the PDCA conceptual framework for lean ergonomics in working assembly process. This paper also demonstrates by continuous improvement applied between the elimination of waste and increased productivity and the impacts on the ergonomic conditions to carry out operations and consequently by improving the productivity and well-being of its employees based on implementation of PDCA conceptual frameworks.
  13. Mahadzir, M.M., Zikri. M.D., Ismail, N.I.
    MyJurnal
    Rice husk gasification developed as process that converts organic rice husk into a producer gas. The achievement is to reduce dependency on fossil fuel, reduce pollution and move into green technology. Downdraft gasifier is a reactor that can produce lower tar concentration in the producer gas. There are important objectives had been investigated which are to modify on laboratory scaled downdraft gasifier from the previous project, where suitable with the rice husk gasification system, to measure the exit temperatures in gasifier which it determine tar quantity at the output, to measure the amount of moisture removed from the rice husk where it determine the quantity of moisture in rice husk and, to measure the complete burning of rice husk in a gasifier by taking the time performing the experiments. All the objectives are to be obtaining the output which can be used as a biofuel sources. The method to achieve the objectives, firstly redesign performed using SolidWork software. Next, the temperature determined using thermocouple. Then, next objective which the rice husk drying analysis determined by drying rice husk and scale it with weighing scale. And lastly, burning was determined by using stopwatch and weighing scale with complete fabricated gasifier. The results shows the fabrication of the modification, average exits temperature of producer gas which around 203.93°C, different moisture weight of rice husk which around 10grams and, average time of completes burning of gasifier is 61 minutes and ability to capture producer gas’s flammability. This work concluded by achieves the objectives based on the results and may increase in understanding of the works related.
  14. Siti Maryam Binti Zainol
    MyJurnal
    This research presents an improved and more effective approach for data acquisition of recirculation aquaculture system (RAS). The previous research, the system uses manual methods to take the important data from RAS and it wastes the time and also gets late response from the fish farmer if the data is not in the good condition. As a result, fog computing technology is applied to overcome all these problems and acts as advance data acquisition system to keep data safely by sharing the processed data in fog computing for every tanks and analyze the data to make an accurate control/decision in the real time. Besides, open source technology plus embedded system based will be integrated for this research because its benefits such as small size, low cost, light weight, portable, high efficiency and low power consumption. This research has achieved the objectives which are design a data collecting system for RAS, design a data processing system using fog computing and integrate, test and validate automatic data collection and processing strategy for recirculation aquaculture system (RAS). The data collecting system for RAS, RaspDAQ is developed by connecting Raspberry Pi 3 to temperature sensor (LM35DT) using analogue digital converter (ADC) MCP3002, water level sensor (HC-SR04), Rpi camera module, LEDs and buzzer. Software and program are built using Python and Apache server to run every functions of RaspDAQ. While third Raspberry Pi 3 is setup as data processing system, RaspFog using PHP, Apache and MySQL server. Both RaspDAQ and RaspFog are based on Raspbian operating system. After that, RaspDAQ1 and RaspDAQ2 are connected to RaspFog using WiFi technology to send sensors data in real time. The received data are stored and plotted using Highcharts.com graph. The data collecting system, RaspDAQ and data server and processor, RaspFog has been tested and validated. At the same time, users can see the graph output in the real time for temperature, water level sensor and real condition using Rpi camera module of RaspDAQ1 and RaspDAQ2 by browsing RaspFog website. From the observation, data has been transferred from RaspDAQ to RaspFog in a short duration which is less than 15 seconds. Consequently, the efficiency of data acquisition process has been improved from manual system to fog computing technology successfully.
  15. Nisa Aqila Bakie, Mastura Bujang
    MyJurnal
    The proposed development of Sibu Central hinges on the fact that it attracts high number of visitors from all over Sarawak. The development of Sibu Central would definitely improve the surrounding areas in future as Sibu Central will be one of the landmarks for Sibu. This development therefore will automatically generate more road traffic which will affect the performance of the existing road. The performance of the existing road was evaluated by two signalized intersections surrounding the proposed development of Sibu Central. It was carried out in order to determine the current traffic volume data, upon the completion of Sibu Central and 5 years after the development was completed. The road performance of Intersection 1 and Intersection 2 was analysed by using Sidra software. It was found that the existing road was still within the satisfactory performance, as the Level of Service (LOS) was in the range of LOS A until LOS D. This was due to the current traffic volume that was still under the capacity of the existing road which also influenced the satisfactory result for Volume by Capacity (V/C) ratio, average delay and queue length of all directions in Intersection 1 and Intersection 2. This result will not be adequate as the capacity of the road still remains unchanged due to the fact that the traffic volume keeps on increasing every year. The deterioration of the existing road in Intersection 1 and Intersection 2 was established in this study based on the performance of LOS, V/C ratio, average delay and queue length.
  16. Nurolhuda Mohd Noor, Keraf, Nui Din, Hafifah Darus, Kelian, Virakwan Hai, Ehkan, Phaklen
    MyJurnal
    The objective of this paper is to design an efficient room automation system in POLIMAS to control and automatize lighting, fan and air-condition.. This system will overcome human mistakes where the students or staffs forget to switch off the appliances in classroom or laboratories, and effectively reduce the cost of operation and power consumption of the buildings. Room Automation involves the automation and controlling the electrical appliances. The system will monitors electrical parameters of room appliance such as temperature, humidity and ambient light. The factors like temperature and light can have significant effects on the productivity of office workers as well as students. Thus, classrooms, laboratories and staff offices can be equipped with super sensors featuring temperature and light monitors. Besides, it helps in reducing power consumption by monitoring the environment condition and controlling the appliances as well as conservation of energy in the campus. Furthermore, it provides simple and cost effective to the institution. The system uses Arduino ESP8266 NodeMCU platform as the IoT enddevice connecting to various sensors and actuators to the platform via Wi-Fi channel. By using Wi-Fi connectivity, the hardware integrates with software application to control, monitoring and analysis. A sequence testing is conducted to determine the connectivity and integration of hardware and software. The performance of each sensor was performed to measure the accuracy. As a result, PIR sensors are able to detect general movement in effective range of about 10 meters. Moreover, the DHT temperature sensor in range of 5 meters away from air-condition is able to read the present room temperature and send command to the air-condition adjusting the air- condition’s set temperature similar to the air-condition’s remote. Thus, by implementing this system, not only the electrical appliances in a room more manageable and under control but also able to reduce the operational cost and improve environmental protection.
  17. Norshuhani Zamin, Nursyafira Jamil, Norita Md. Norwawi
    MyJurnal
    Cerebral Palsy (CP) is a common neurodevelopmental condition encountered by pediatricians. The condition may present itself in many different kinds of classification. In many cases, the cause of CP may not be apparent. Cerebral Palsy is always showing many deficits such as mental retardation, speech and language and oral motor problems. This project inspired from Elisya, a nine-year-old kid that has CP since born and she have the communication problems since she cannot speak to express her opinions and desires. The main focus on this project is to help to improve the communication issues among CP children. In order to assist the people with CP, the assistive tool is required to help them to communicate or interact with people around them. Assistive technology includes equipment, devices and software solutions that increase functional capabilities of people with disabilities and improve the quality of their lives. There are several Augmentative and Alternative Communication (AAC) devices for people with Cerebral Palsy that are not able to speak. One of the ways to make this happen is to implement the AAC technology with mobile technology by developing a mobile application named as Make Me Speak and React Native technology in order to build the cross platform for this application since the application should be run on IOS and Android platform so it’s easier for other people to bring it anywhere and use it at any time. It also involves CP centres and school to do experimental studies for this project. There are several studies shows that AAC technology can help in enhancing the speech and language development and in this project, the suggested mobile application should be friendly to our language and culture of our nation, Malaysia and the project is in line with the social innovation in the Eleventh Malaysia Plan (RMK-11).
  18. Afiqah Yeop, Sandanasamy, Jessinta, Sook, Fun Pang, Sureena Abdullah, Yusoff, Mashitah M., Gimbun, Jolius
    MyJurnal
    This paper presents the comparison of extraction methods between maceration extraction (ME) and ultrasonic assisted extarction (UAE) to the bioactive compounds yield (gallic acid, protocatechuic acid, epigallocatechin and rutin) of Labisia pumila. A grinded dried plant material with size ranging 246.58μm to 257.72μm was performed throughout this work. The gallic acid, protoctechuic acid, epigallocatechin and rutin qualification and quantification were performed using an ultra-performance liquid chromatography coupled photodiode array (UPLC-PDA). Exact match between the residence time from the plant extract and external standard was found indicating a presence of these four targeted bioactive compounds. It was found that UAE method has the highest extraction yield; gallic acid (0.0293 mg GA/g DW), protocatechuic acid (0.0081 mg PCA/g DW), epigallocatechin (0.0057 mg EGC/g DW) and rutin (0.0038 mg Rutin/g DW) compared to ME. The findings in this work may serve as a useful guide to obtain a highest extraction yield of these four targeted bioactive compounds from L. pumila.
  19. Norazilawati Abdullah, Mazlini Adna, Laili Farhana Ibharim, Tan, Wee Hoe, Dahlia Janan, Jafri Malin Abdullah, et al.
    MyJurnal
    This study aims to develop a year one STEM Comic for science and mathematics subjects. The STEM comic was developed based on the Technology Knowledge, Pedagogy and Content (TPACK) model. The development of this comic involves two phases which is development phase and assessment phase. However, this article only discusses the development phase of STEM comic. 13 Excellent teachers of science and mathematics from the Hulu Langat district were involved in the analysis of syllabus year one science and mathematics subjects and the preparation of scripts while the STEM comic illustrator was created by two lecturers from the Faculty of Art, Computing and Creative Industry from the Sultan Idris Education University. As a result, a STEM comic that contains 10 series for year one science and mathematics subjects has been successfully developed. This comic is expected to attract and enhance the achievement of year one students in science and mathematics. Implication of this study, STEM comic can be used by teachers as science and mathematics teaching aids.
  20. Syaiful Nizam Bin Ab Rahim, Mohd Zaniel Bin Mahadzir, Nik Ahmad Faris Bin Nik Abdullah, Mohd Amri Bin Lajis
    MyJurnal
    A method for recycling aluminium alloy chips by hot extrusion was studied as well as the possibility of using to recycle aluminium chips. As a result, according to an ANOVA analysis, preheat temperature is the most significant factor influencing the response variables investigated. Preheat temperature and the quadratic effect of factor preheat temperature provided a primary contribution to the responses investigated. Additionally, factor preheat time did not provide a significant contributing factor to the Ultimate Tensile Strenght. This developed the Response Surface Methodology (RSM) model for ER12, which can now be used for analysis and predicting the Ultimate Tensile Strenght for recycling aluminium chip using the hot extrusion process. The Miscellaneous Design and Response Surface Methodology enabled the determination of optimal operating conditions for obtaining hot extrusion production. The optimization of the analyzed responses demonstrated that the best results for hot extrusion process parameter. It reveals the empirical models developed were reasonably accurate, particularly for UTS at 550°C temperature and 3 hours preheating time. All the actual values for the confirmation run are within the 95% prediction interval.
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