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The aim of this research is to propose a self-adaptive hybrid genetic algorithm (SHGA) approach to solve Malaysian menu planning problem for adolescents aged 13 to 18 years old. We developed Malaysian menu planning model with the objectives to optimize the budget allocation for each student, maximize the variety of daily meals, maximize the caterer’s ability, accomplish meals course structures and fulfill the standard recommended nutrient intake (RNI). Two new novel local searches are introduced in this study that combined the insertion search (IS) and insertion search with deleteand-create (ISDC) methods. Application of IS itself could not guarantee the production of feasible solutions as it only searches in a small neighborhood area. Thus, ISDC is proposed to enhance the search towards a large neighborhood area and the results indicated that the proposed algorithm is able to produce 100% feasible solutions with the best fitness value. Besides that, the application of self-adaptive probability for mutation is significantly minimizing computational time taken to generate the good solutions in just few minutes. Hybridization technique of two local search methods and self-adaptive strategy has successfully improved the performance of traditional genetic algorithm through balanced exploitation and exploration scheme

This study investigated the application of integer linear programming with the purpose of solving workforce scheduling problems in real life and satisfying the constraints at the same time, which includes the staff preferences towards shift and company policies. Integer linear programming is a well-known mathematical approach which is able to obtain the optimal solution faster than manually schedule construction in a less-complex way. In this study, a weekly schedule which involved thirteen staff is obtained successfully by using integer linear programming approach through the help of LP Solve IDE software. The result showed that the total staffing cost was successfully minimized due to reduced number of full shift assigned to staff. In addition, the staff satisfaction is maximized by satisfying all their preferences.

The aim of this paper is to develop and represent the overall linear and oblong leaves shape model for a given botanical textual description. For this purpose, the B-spline generative shape method (GSM) was used where the tip, side and the base of the linear and oblong leaves were assembled. Using the GSM and the leaf shape synthesis system, the tip and the base will be automatically generated preserving 2C continuity to ensure a reasonable shape in proportion. Expert botanists were referred to assess the drawing results. The findings show that the use of GSM produced good result except for some cases where the drawing produced minor visual error. As a conclusion, the GSM is a very practical way to model the linear and the oblong leaf shape. As the implication, both the GSM and the system allow the botanists to readily see a picture which might have been hard to visualize before.

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.