Motivation is a crucial factor in online learning as it can significantly impact the student’s engagement and success. Some students may be more motivated by a need for affiliation and social connection, while others may be more motivated by a need for achievement and recognition, or a need for power and autonomy. Thus, this quantitative study aims to explore the perception of learners on their learning motivation by examining how affiliation, achievement, and power influence learners’ motivation. A total of 208 respondents from public and private universities in Malaysia were gathered using a questionnaire that was adapted from a previous study by (Fowler, 2018). There are seven sections with related questions to measure the three types of factors that affected learning motivation. In general, the results revealed there is a significant association between affiliation, achievement, and power in learning motivation. By understanding the findings of this study, instructors might be able to design interventions and strategies to enhance learner motivation. Then, by recognizing the importance of affiliation, achievement, and power in learning motivation, policymakers may consider designing education frameworks that prioritize the supportive learning environment and promote student engagement and motivation.

The unexpected closure of educational institutions as a result of the emergence of COVID-19 prompted the authorities to suggest adopting alternatives to traditional learning methods. E-learning is an innovative approach for delivering electronically mediated, well-designed, learner-centred interactive learning environments by utilizing internet and digital technologies with respect to instructional design principles. This paper presents the implementation and prototyping of an innovative web-based e-learning platform for chemistry course known as Al-Chemy. Al-Chemy was developed for foundation students at Tahmidi Centre, Universiti Sains Islam Malaysia. The rapid application development (RAD) methods have been used in developing Al-Chemy through website wix.com. Al-Chemy was structured with interactive notes, animation, virtual experiment, quizzes, and games. The combination of these activities helps students in learning basic and advanced concepts of chemistry.

The purpose of this research is to study the level of awareness towards bankruptcy among students in a public university in Shah Alam, Selangor. Second, to examine the relationship between debt management and bankruptcy, and lastly to determine the relationship between lifestyle and bankruptcy. 388 questionnaires were distributed to students in a public university in the Shah Alam area. The researcher applied convenience sampling as the sampling method. Data were analyzed using Statistical Package for the Social Science (SPSS). Throughout this research, the Level of Awareness among students in Shah Alam is recorded as high-level group awareness with a mean of 4.3083. Besides, the result also found that there is a positive relationship between the two independent variables - debt management and lifestyle- which has a weak and very weak relationship with the dependent variable - bankruptcy. This study can give awareness to the youth, especially the students of UiTM Shah Alam, regarding the importance of maintaining financial stability at a young age so as not to fall into bankruptcy later. Knowledge of bankruptcy provided by the researcher will help to reduce the number of bankruptcy cases in the future by allowing the respondents to fix their bad spending habits.

Investment has become a major money-making business in this world through investment in financial markets, stock markets, and forex. There is uncertainty about which stocks to buy during a pandemic like Covid-19. Poor investment choices will affect the profitability of the investors, shifting their risk appetite to be more defensive. Thus, this research is carried out to study the movement of stocks for the year 2020 in Malaysia based on the data obtained from Yahoo Finance. The objective is to provide investors with a guide to investing efficiently during a pandemic. This study investigates how Covid-19 impacts the rate of growth or reduction of stocks so that the performance of the stocks can be forecasted in the future. The moving average method is used to analyze the trend of the stock by comparing the top gainers against the top losers during the periods of pre Covid-19 and Covid-19. The Autoregressive Integrated Moving Average (ARIMA) model studies the autocorrelation function (ACF) graph of selected stocks to further understand the movement of the stocks and compare it to the closing prices of the selected stocks. Based on the findings, it was demonstrated that the quantitative method used could be used to study the effects of a pandemic, as well as the severity of the losses incurred, and profits earned by the industries. The industries that are essential to the country, like pharmaceuticals and rubber manufacturing, are able to maintain their businesses. Moreover, these sectors have profited from the pandemic. The tourism and aviation industries have been hit the hardest by the pandemic, as evidenced by falling stock prices. Thus, it would be wise for investors to invest in an essential sector company during the Covid-19 pandemic.

Software or application testing is a process of executing a program with the goal of finding defect to make better system. In software testing phase, writing test cases is one of the important activities. Manually writing test cases approach is lengthy of time period and need more effort to accomplish the process. This paper describes test case, test case generation techniques, different types of software testing approaches and comparison of testing tool. Test cases usually writing at the beginning of testing process from the set of software requirements. Test cases are created by using two different approaches. One is manually written test cases and another is automatically generated test cases. Manually written test cases are a very lengthy process and need to give a lot of effort to make good quality test cases. On the other hand, automatically generated test cases are generated by automatically using some software tools and it saves a lot of time and effort.

Penularan wabak COVID-19-19-19 telah menyebabkan pengisytiharan pandemik oleh Pertubuhan Kesihatan Dunia (WHO) pada Januari 2020. Langkah mengawal penularan wabak ini maka semua sektor telah diarahkan tutup termasuk sektor pendidikan. Pengajaran dan Pembelajaran secara bersemuka tidak dapat diteruskan semasa fasa PKP. Sehubungan itu, Kementerian Pelajaran Malaysia (KPM) telah melaksanakan kaedah pembelajaran atas talian secara sepenuhnya demi memastikan setiap pelajar tidak ketinggalan dan ini juga merupakan salah satu langkah mengawal penularan wabak COVID-19-19-19. Dalam usaha memastikan pelajar terus dibimbing dan tidak ketinggalan pelajaran, maka tenaga pengajar mula mencari pelbagai alternatif dan kaedah yang sesuai dalam aktiviti pengajaran atas talian. Selaras dengan kemajuan teknologi terkini, Revolusi Industri 4.0 (IR 4.0) sedikit sebanyak memainkan peranan dalam elemen pengajaran atas talian. Meskipun kaedah pengajaran atas talian ini merupakan kaedah yang sesuai semasa tempoh PKP,namun terdapat cabaran dalam kaedah pengajaran atas talian bagi pelajar subjek sains yang memerlukan pembelajaran secara amali. Satu kajian telah dijalankan secara kualitatif terhadap tenaga pengajar kluster sains bagi subjek Biologi, Fizik dan Kimia yang memerlukan pengajaran secara amali. Seramai sembilan (9) orang tenaga pengajar kluster sains di Pusat Tamhidi, Universiti Sains Islam Malaysia telah dipilih sebagai responden bagi tujuan kajian ini. Kaedah temubual dijalankan bagi mengenalpasti cabaran pengajaran atas talian bagi subjek sains. Temubual merangkumi kemudahan internet, kemudahan/peralatan sesi amali, tahap keberkesanan pengajaran atas talian, penglibatan pelajar dan lain-lain cabaran. Dengan adanya kajian ini, diharapkan agar ada penambahbaikan dalam sebarang aktiviti pengajaran atas talian bagi subjek sains amali contohnya mewujudkan polisi baharu atau pelan strategik terkini agar memudahkan tenaga pengajar melaksanakan tugas dengan lebih efisyen dan efektif.

Global virtual teams (GVTs) are a recent organizational adaptation created to meet the needs of globalizatized marketplace. GVTs are essentially teams that are distributed across national boundaries and concerned through advanced information and communication technology (ICT) such as email, instant messaging, and video conferencing. The research on GVTs is important in the information system (IS) field because GVTs are dependent on information communication technology and the use of other technologies; GVTs also consists of people from different cultures. This paper tried to answer two research questions. The first one is: what are the GVTs problems facing the project manager (PM). A literature review was conducted to answer the first research question. The second one is: how to develop system as a guide for PM. The system was developed by Visual Studio 2019. Online model verification was conducted within 6 experts from IT industry. After developing the system, it was validated by eleven developers (non-functional test/black-box testing) and 3 developers/programmers (functional test/white-box testing) from the same industry. The result of model verification confirmed that the model can help the PM. Also, the non-functional test/black-box testing and functional test/white-box testing was confirmed.

Internet banking is a method for conducting financial transactions online that makes use of the internet as a platform. Customers could transact at any time and from any location. Numerous aspects relating to the adoption of internet banking have been analyzed and studied in recent in-depth studies from the literature. This paper will merge these numerous predefined factors into a model by drawing on the various ideas related to the acceptance model. It was decided to adapt the analytical hierarchy process (AHP) method for finding the important numerous components for the model. The finest mathematical calculation method is AHP, which enables decision-makers to prioritize their ranking in order to satisfy various criteria. The goal of this research is to rank the elements that influence the use of online banking. Three main factors such as technical information, website and service availability were chosen as the main factors of the model based on the literature review. Sub-factors such as ease of use, responsiveness, privacy, reliability, security, communication and efficiency were also suggested and combined into a single integrated framework. Utilizing the systematic literature review (SLR) methodology, several factors were found. As a result, the article will enhance understanding of the unique elements supporting the adoption of internet banking.

The use of information and communication technology in the world of Education continues to develop various strategies and patterns. In higher education, e-learning is gaining more impact in teaching and learning that can be practiced in many ways. The advantages of developing and implementing e-learning in education increased learning effectiveness and flexibility, and much easier for teachers and students. Biodiversity is one of the Biology’s topic that need a lot of reading to be memorize by students. This innovation aims to develop a web-based system by using wix.com known as Interactive Biodiversity with INAQ (i- BioDi). INAQ is the Integration of Naqli and Aqli, also included to the related contents with the interactive learning memorizing tools such as mind maps, videos, and games. This website will be used as a hub for the biology subject for foundation students in Universiti Sains Islam Malaysia (USIM). While we acknowledge the importance of memorizing at this level of study, we have tried to focus our approach more toward understanding and explaining the rationale underlying many concepts of Biology. This website can also become a suitable reference for Malaysian Matriculation Programme, Sijil Tinggi Persekolahan Malaysia (STPM), and A-Level as well as any other pre-university Biology course. In this innovation, the Rapid Application Development was adapted as the development methodology. By using this interactive learning website, it will be more enjoyment and can helps the students to memorize using the interactive learning tools, learn and study the contents of the topic with element of INAQ.

Because of the COVID-19 epidemic, several educational institutions all around the world had to postpone classes. In Malaysia, the suspension began in March 2020. Throughout the first semester, this scenario persisted, requiring educational institutions to move to online classrooms and changing the academic calendar for the following years. The reality of online learning has sparked a discussion about a new pedagogical approach in which teachers and students must learn how to manage online learning and make the most of online tools. Students must first understand the challenges presented by online distance learning in order to do this (ODL). This essay will examine how students perceive the difficulties of online education in the wake of the COVID-19 epidemic. 495 UiTM Terengganu students who actively participated in online learning activities served as the study's sample. Exploratory Factor Analysis (EFA) and Logistic Regression were used to examine the difficulties of online learning. In this study, the data was analysed using EFA and Logistic Regression to determine what factors account for the ODL issues that UiTM Terengganu students face. The results show that for most students, the internet and technology provide the biggest obstacles. Interaction between students and lecturers, psychological problems, challenging examinations, and self-management were also mentioned as obstacles.

The rapid advancements in artificial intelligence (AI) have introduced innovative tools that significantly influence diverse aspects of human life. Among these, ChatGPT, developed by OpenAI, has emerged as a powerful tool in the realm of English writing and communication. This paper explores the implications of integrating ChatGPT into the process of English writing amongst educators, focusing on its advantages, limitations, challenges as well ethical concern. The paper also recommends the possibility of using ChatGPT for further study as well as its potential applications for researchers and scholars.

Efficient management of household trash is essential to maintaining a sustainable society and a good environment. Low community engagement in environmental cleanup has led to dozens of unused refuse management apps. Today’s refuse management system lacks a secure identification protocol for identifying users, especially those who have signed up for the app. Predicting and understanding human household behavior is needed, and it remains a complex challenge. Therefore, this study aims to predict human household behavior in the refuse management system using artificial neural networks (ANN). The work involved in developing the prediction model included data collection, data pre-processing, neural network model development, and performance validation. There are 505 participants, urban residents in Kuala Lumpur obtained for this study. ANN with one hidden layer is developed in MATLAB. The results show that the accuracy of the developed model is 83%. It indicates that ANN performed well in predicting household behavior in the refuse management system.