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15 record(s) found

Simplified search suggestions : Abdul Haq Abdul Rashid
1
Abstract
Sargassum polycystum is a species of brown algae (Phaeophyta). Some recent studies have found many uses of this algae, one of them is for medicine. In this study, crude hexane, dichloromethane and methanol extracts of Sargassum polycystum were tested for toxicity activity and screened for its principal chemical substances. The toxicity test was done using Brine Shrimp Lethality (BSL) test against Artemia salina Leach. The results of this study showed the LC50 value of methanol extract was 295.12 mgml-1, while both hexane and dichloromethane extracts were 275.42 mgml-1. The BSL test exhibited no significant toxicity against A.salina. Phytochemical screening shows S. polycystum contained non polar and polar components. As the conclusion, S. polycystum contained secondary metabolites that are not toxic to A. salina and they are not a potential source for toxicity...
Article Published 2015 3379 hits Available
3
Abstract
Learning has been connected specifically to a human brain whereby brain's capacities such as thinking, short and long term memory are considered among the most critical modalities of learners. On the other hand, Learning Style (LS) had been widely accepted in education domain with the emergence of several LS models. Nevertheless, the models used only questionnaire-based Learning Style Inventory (LSI) in the LS determination process which exposed to inaccuracy. As such, this research proposes a new method whereby Electroencephalogram (EEG) signals are used hand-in-hand with the traditional LSI for Kolb's LS classification establishment The research also aimed to determine the EEG sub-bands that could best classify the Kolb's LS and outline their characteristics. A total of 131 subjects were classified into their particular Kolb's LS of Diverger (n=33), Assimilator (n=36), Converger (n=32) or Accommodator (n=30) using the Kolb's Learning Style Inventory (KLSI) Workbook 3.1 by Haygroup®......
Thesis Published 2018 2065 hits Available
6
Abstract
Principally, this study gives an overview about the Neuronal oscillations appear throughout the nervous system in structures as well as, the range of frequencies of clinical and physiological interests for motor imagery EEG signal. In addition, a brief description about MI paradigm which is also known as movement imagery, which is a mental process through which a person imagines a physical action, such as jumping, or moving hands. In particular, event-related desynchronization (ERD) and synchronization (ERS). Finally, a set of studies have been listed towards highlights the advantages of using BCI Competition dataset which is a public dataset that have been widely used in the analysis of the EEG motor imagery signal methods and technique...
Article Published 2019 1683 hits Available
7
Abstract
The tenth year anniversary of the Global Financial Crisis (GFC) provides an opportune moment to reflect on its true devastation on national industries. While many economists regard it as a global watershed, Indonesia was among the isolated few that emerged relatively unscathed. However it would be erroneous to assume that all of its economic sectors enjoyed the same fortune. A study was conducted to determine the most significant economic event for Indonesia’s public listed housing developers in the years leading up to, and after the GFC. Panel data regression analysis was conducted on the financial data of the sampled companies. The analysis shows that the GFC of 2008 was not the most significant event for the study period for housing market players, nor was it the previous year when housing investor confidence was shaken. Instead that accolade goes to the event of 2012. While public-listed nonfinancial companies were affected by the Eurozone Crisis that year, a combination of facto.....
Article Published 2019 1166 hits Available
8
Abstract
The Computer Networking course commonly taught in mixed mode involving lecture and practical session whereas beside face-to-face theory session, students need to experience hands-on activities in order to appreciate the technology and contents. Nevertheless, the abstraction in Computer Networking course such as the complexity in TCP/IP network layering, the connection and configuration of client and server’s framework, differences in static and dynamic IP address configuration had imposed a great challenge for students to understand and grab the main concept of computer networking technology. As such, an approach of using computer network simulation and visualization tool in teaching and learning Computer Networking course is seen beneficial for educators and students. In this research, computer network simulation software of CISCO Packet Tracer was utilized in Computer Networking (MTN3023) course. Students (N=55) were exposed to CISCO Packet Tracer on which they developed Wide Area .....
Article Published 2019 1668 hits Available
9
Abstract
Feature location is the process of extracting identifiers within source code. In software engineering, it is a usual procedure to upgrade software by adding new features. In order to facilitate this process for the developers, feature location has been proposed to extract the significant components within the source code which are the identifiers. One of the challenging issues that faces the feature location task is handling multi-word identifiers where developers may use different type of separations among the words. Different research studies have used various types of techniques. However, recent studies have showed interest in Machine Learning Techniques (MLTs) due to their substantial performance. With the diversity MLTs, there is a vital demand to identify the most accurate one in terms of splitting the identifiers correctly. Therefore, this study aims to provide a comparative analysis of different MLTs including Naïve Bayes, Support Vector Machine and J48. The dataset used in th.....
Article Published 2020 929 hits Available
10
Abstract
Pandemik COVID-19 yang berlaku di seluruh negara telah menyebabkan banyak negara mengenakan sekatan perjalanan dan kawalan pergerakan. Di Malaysia misalnya, sektor perniagaan kecil adalah salah satu sektor yang paling terkesan oleh perintah kawalan pergerakan (PKP) yang dilaksanakan. Ini berikutan daripada penutupan bagi sektor sokongan seperti peruncitan dan juga pengangkutan yang menyebabkan kebanyakan peniaga kecil tidak dapat beroperasi dan sekaligus menyebabkan mereka hilang punca pendapatan. Namun demikian, sekiranya komuniti peniaga kecil memanfaatkan sepenuhnya aplikasi digital dalam perniagaan maka punca pendapatan mereka tidak begitu terkesan ekoran daripada krisis COVID-19 yang melanda pada masa kini. Justeru, adalah penting untuk mengkaji sejauh mana amalan dan penglibatan peniaga kecil menerusi aktiviti pemasaran digital dalam memperkasa norma baharu perniagaan di samping meninjau strategi perniagaan pasca COVID-19 pada masa depan. Kajian ini dijalankan ke atas 75 peniaga .....
Article Published 2020 1673 hits Available
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