61 research outputs found

    A comparative study of forecasting container throughput through time series analysis

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    This paper shows different techniques used in the operational research to encounter with forecasting the total container throughput handling. Each techniques approached has its objective and constraints regarding to the research problem. The container throughput is responsible for large investments in port infrastructure development as the aims is to established a sufficiently accurate forecasting decision support system since they try to follow the global trends in the optimization of port operations and facilities

    Menu scheduling for high blood pressure patient with optimization method through integer programming

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    The application of mathematical modelling technique was normally applied in various fields of study. It is the optimal solution that can help to solve various diet problems. Every diet problem has its specific objective functions and limitation of cost. The requirement of nutrient content, the amount of food intake and the price of food should be considered when planning a balanced diet menu. This paper focuses on the mathematical modelling techniques that are used by researchers in optimizing the diet problem and planning a diet menu that meet all the specification and constraints. Additionally, this paper demonstrates the usage of integer programming and improvement that can be done. An optimal approach is obtained to solve the menu scheduling for high blood pressure patient

    A research review on healthy lifestyle of university students through statistical approach

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    This paper shows different methods to analyse the survey questions that related to healthy lifestyle or the factors affect it. The factors included eating habits, health factors, exercise and entertainment. The steps normally start with survey method which there are many types of method to undergo data collection and then undergo the pilot study. In descriptive summary, it is needed to obtain the essential part of information in the whole study first before undergo analysis. Data analysis included some statistical tests are done to know the association within variables. There are also some methods that were used to measure the satisfaction level of the consumers in the organisations

    Research review on time series forecasting of gold price movement

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    This paper propose different techniques used in forecasting on time series analysis. Various techniques had been used in the field of time series forecasting from the traditional Box-Jenkins approach to the most popular neural network technique nowadays. However, there is no specifically the best method to deal with time series forecasting as the application of different time series forecasting methods has their own requirements and restrictions. In determining the movement of gold price, there are a lot of different methods being implemented by various authors to propose their models. Various time series forecasting method have been discussed in this paper which consists of several journal articles that related to gold price and some of the data mining techniques in time series forecasting retrieved from Google Scholar in this review

    A heuristics approach for classroom scheduling using genetic algorithm technique

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    Reshuffling and arranging classroom based on the capacity of the audience, complete facilities, lecturing time and many more may lead to a complexity of classroom scheduling. While trying to enhance the efficiency in classroom planning, this paper proposes a heuristic approach for timetabling optimization. A new algorithm was produced to take care of the timetabling problem in a university. The proposed of heuristics approach will prompt a superior utilization of the accessible classroom space for a given time table of courses at the university. Genetic Algorithm through Java programming languages were used in this study and aims at reducing the conflicts and optimizes the fitness. The algorithm considered the quantity of students in each class, class time, class size, time accessibility in each class and lecturer who in charge of the classes

    A study of nanoparticles as a drug carrier on the wall of Stenosed Arteries

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    The influences of nanoparticles as drug carriers on the walls of stenosed arteries are presented. In this study, three nanoparticles namely Fe3O4 , TiO2 and Cu were used. It is observed that the addition of Fe3O4 nanoparticles tends to reduce the resistance impedance of blood temperature in bell shaped stenosed arteries. The blood temperature increases slightly in the streamwise direction before the throat region. Thereafter, the blood temperature increases at a higher rate and reaches its maximum value at the stenosis throat. It is found that the temperature distribution is heavily dependent on parameters such as periodic body acceleration and Prandtl number

    Analysis of time series for Malaysian currency exchange rate to the United States currency

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    Currency exchange rate is one of the external factors that will affect the financial status of Malaysia. Therefore, forecasting the foreign currency exchange rate is important for the financial decision makers, bankers, academic researchers and business practitioners. Time series method is an important area of predicting future data based on the past data. In this study, Auto-Regressive Integrated Moving Average (ARIMA), Double Exponential Smoothing method and Holt-Winter additive method will be used to forecast the data of currency exchange rate of Malaysia Ringgit (RM) to United States of America Dollar (USD). The Mean Absolute Percentage Error (MAPE) for ARIMA, Double Exponential Smoothing method and Holt-Winter additive method are 0.9400, 0.9035 and 2.2686 respectively. In conclusion, the model generated by using Double exponential Smoothing method is the best model to forecast the currency data with the lowest value of MAPE, Mean Absolute Error (MAE) and Mean Square Error (MSE) compared to ARIMA method and Holt-Winter Additive method

    The expectation requirement prospective in fulfill industries needs in technical skills among vocational students (TVET).

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    The investigation of the research is based on the expectation prospective requirement that’s needs to acquire among vocational students in University Tun Hussein On Malaysia (UTHM) The main objective is to observe the prospective students and establishment of foundation understanding that they need to fulfill the expectation of the industries. This is to ensure that they are well preparing in workplace in the future time. To achieve this by doing so is by implementation of phenomenological research method .From the experimental procedure is base from students prospective and by conducting questionnaire and interview. From these results, it can be conclude that students need more influence of self-establishment as they need to be ready entering in the industries of vocational

    Mathematical approach for serving nutritious menu for secondary school student using “delete-reshuffle-reoptimize algorithm”

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    Secondary school student need to eat a well nutritious and healthy food that gives enough supplements for improvement, safeguarding and rebuilding the human body. In addition, with legitimate supplement, it can keep any undesirable diseases and infections. At this moment, medicinal disclosure demonstrates that by expending very much adjusted nutritious sustenance, it can anticipate and decrease the dangers of certain illness. Menu organizers, nutritionist and dietitians faced with mind boggling undertakings and inconveniences obstacles to grow human wellbeing. Serving more beneficial meal is a noteworthy step towards accomplishing one of the objectives for this study. However reorganizing a nutritious and well balanced menu by hand is difficult, insufficient and time consuming. The target of this study is to build up a mathematical technique for menu scheduling that fulfill the whole supplement prerequisite for secondary school student, reduce processing time, minimize the budget and furthermore serve assortment type of food consistently. It additionally gives the adaptability for the cook to change any favored menu even after the ideal arrangement and optimal solution has been acquired. A recalculation procedure will be performed in light of the ideal arrangement. The data was obtained from the Ministry of Health Malaysian and school specialists. The model was solved by using Binary Programming and “Delete-Reshuffle-Reoptimize Algorithm”

    PENCAPAIAN KURSUS MATEMATIK DAN STATISTIK DI KALANGAN PELAJAR UTHM: FAKTOR MEMPENGARUHI DAN TEKNIK PENGAJARAN DAN PEMBELAJARAN YANG LEBIH DIMINATI

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    Kajian ini bertujuan mengenal pasti punca yang mempengaruhi pencapaian kursus matematik dan statistik di kalangan pelajar Universiti Tun Hussein Onn Malaysia (UTHM). Seramai 2605 orang pelajar telah terlibat dalam kajian ini dan pemilihan responden adalah dilakukan secara rawak berstrata berdasarkan jumlah populasi pelajar di setiap fakulti. Kajian ini menggunakan statistik deskriptif analisis seperti min, sisihan piawai, kekerapan dan peratus untuk menjelaskan faktor-faktor yang mempengaruhi pencapaian pelajar dalam kursus matematik dan statistik. Seterusnya, kajian ini juga mengenalpasti kaedah dan teknik pembelajaran yang lebih diminati pelajar dan dianalisis dengan menggunakan kaedah analisis Pareto. Hasil kajian mendapati faktor latar belakang diri, faktor tenaga pengajar, dan faktor kondisi tempat pengajian mempengaruhi pencapaian pelajar dalam kursus matematik dan statistik manakala kaedah pembelajaran berpusatkan pelajar adalah lebih diminati oleh pelajar berbanding pembelajaran berpusatkan guru
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