Explanipedia

Maternity Nurses' Knowledge and Practice Regarding Postoperative Nausea and Vomiting Risk Screening Open

Yasser Soliman, Roslina Ibrahim, Amira Morsy Yousef, Nageya Ezzat Said · 2025

THE RELATIONSHIP BETWEEN BADMINTON SKILLS AND STUDENTS' SOCIAL-EMOTIONAL DEVELOPMENT Open

Roslina Ibrahim, Hasrat A Aimang, Martono Martono · 2025

Physical education plays a crucial role in shaping the character and physical skills of elementary school students. One of the sports that can support the development of both motor skills and socio-emotional aspects is badminton. This stud…

Building an Understanding of Mathematics through Ethnic Mathematics: A Case Study of Learning in Bintuni Bay Regency Open

Roslina Ibrahim, Abdul Wahid · 2024

This study explores the application of ethnomathematics in mathematics education within the context of Bintuni Bay Regency. Ethnomathematics is the approach of linking mathematical concepts with local cultural practices, aiming to make lea…

The Use of Design Thinking in the Development of IoT Projects Open

Salbiah Zainal, Rasimah Che Mohd Yusoff, Hafiza Abas, Roslina Ibrahim, Nor Zairah Ab. Rahim · 2024

One of the difficulties in the teaching and learning of the Internet of Things (IoT) is the lack of exposure to IoT concepts and inadequate teaching methods and tools. The use of Design Thinking (DT) when developing IoT projects can promot…

Challenges of Undergraduate Students Attending Private Universities Open

Olawale Abayomi Onikoyi, Hamza Usman, Rasheedat Oladunni Ajape, Bilal Ibrahim, Ismaeel Saka Ajia , et al. · 2024

Private universities have played a crucial role in Nigeria over the last two decades. This study investigated the challenges faced by undergraduate students in these institutions. A descriptive survey design was used, with data collected f…

Relation between Virtual Lab Based Learning Method Use and Critical Thinking Skills of Maternity Nursing Students Open

Yasmeen Abdel Riheem Sayed Ahmed, Roslina Ibrahim, Amira Morsy Yousif · 2024

Developing a Comprehensive Digitalization Gap Analysis Components: Bridging Gaps in People, Process, and Technology for Public Sector Transformation Open

Nur Izzati Shabdin, Suraya Yaacob, Roslina Ibrahim · 2024

Digitalization Gap Analysis Components for Enhanced Organizational Digital Transformation: Insights from Malaysian Public Sector Case Studies Open

Nur Izzati Shabdin, Suraya Yaacob, Roslina Ibrahim · 2024

Genetic Programming Based Automated Machine Learning in Classifying ESG Performances Open

Abdullah Sani Abd Rahman, Suraya Masrom, Rahayu Abdul Rahman, Roslina Ibrahim, Abdul Rehman Gilal · 2024

AutoML offers significant benefits in solving real-life problems because it accelerates the development of machine learning models. In contexts involving real scenarios like analyzing companies’ environmental, social and governance (ESG), …

A review on User Experience Model in Mobile Educational Games Evaluation Open

Sharifah Nurul Hikmah Syed Yasin, Roslina Ibrahim · 2023

This review explores the models and frameworks used to evaluate user experience in mobile educational games. A number of seven studies were selected based on their MEG evaluation explorations. Based on the literature, three models were fou…

Systematic Review on Teaching and Learning for IoT Programming Open

Salbiah Zainal, Rasimah Che Mohd Yusoff, Hafiza Abas, Roslina Ibrahim, Nor Zairah Ab. Rahim · 2023

Teaching and learning Internet of Things (IoT) programming is challenging. The literature regarding teaching and learning for IoT programming still lacking. Therefore, we conducted an updated and comprehensive review using a systematic lit…

Machine learning in predicting anti-money laundering compliance with protection motivation theory among professional accountants Open

Suraya Masrom, Masetah Ahmad Tarmizi, Sunarti Halid, Rahayu Abdul Rahman, Abdullah Sani Abd Rahman , et al. · 2023

Money laundering represents a significant global threat, necessitating the vigilance of professional accountants in detecting and reporting suspicious customer activities within their jurisdiction to the relevant authorities. Despite the l…

Enhanced Recurrent Neural Network (RNN) For Heart Disease Risk Prediction Using Framingham Datasets Open

Surenthiran Krishnan, Pritheega Magalingam, Roslina Ibrahim · 2023

Heart disease is one of the leading causes of death globally, which takes 17.9 million lives each year. The existing heart disease prediction techniques have a gap that does not consider the smoking attributes from the heart disease data. …

Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022 Open

Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim · 2023

Accurately predicting the prices of financial time series is essential and challenging for the financial sector. Owing to recent advancements in deep learning techniques, deep learning models are gradually replacing traditional statistical…

An Integrated Instrument for Measuring Science, Technology, Engineering, and Mathematics: Digital Educational Game Acceptance and Player Experience Open

Husna Hafiza R. Azami, Roslina Ibrahim, Suraya Masrom, Rasimah Che Mohd Yusoff, Suraya Yaacob · 2023

Digital educational games (DEGs) are effective learning tools for subjects related to science, technology, engineering, and mathematics (STEM), yet they are still not widely used among students. Existing instruments typically assess player…

Students' Educational Game Acceptance in Higher Education in Saudi Arabia Open

Nada Mansour Aljuaid, Roslina Ibrahim, Nurazean Maarop, Husna Hafiza Razami · 2022

Studies on educational games (EG) have shown growing interest among researchers due to the potential and preferences of the younger generation. Games technology is among the most popular forms of technology nowadays with billions of transa…

Context-Aware Recommender System based on Machine Learning in Tourist Mobile Application Open

Nor Liza Saad, Nurkhairizan Khairudin, Azilawati Azizan, Abdullah Sani Abd Rahman, Roslina Ibrahim · 2022

The amount of information available in the World Wide Web has drastically increased nowadays. All this information may be particularly useful for users who plan to visit any places of their interest but a list possibilities search results …

Systematic literature review on university website quality Open

Ala' Hasan Saleh, Rasimah Che Mohd Yusoff, Nur Azaliah Abu Bakar, Roslina Ibrahim · 2022

Website is a necessity for organizations to enable users worldwide to access their information and gain a competitive edge over others. The diversity of websites makes assessing website quality a difficult task. The aim of this paper is to…

Decision Fusion for Stock Market Prediction: A Systematic Review Open

Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim · 2022

Stock market prediction based on machine or deep learning is an essential topic in the financial community. Typically, models with different structures or initializations provide different forecasts of the same response variable. In such c…

Mobile Educational Games For Learning Sirah Nabi: Development And Usability Evaluation Open

Nadzirah Kamarazaman, Roslina Ibrahim, Rasimah Che Mohd Yusoff, Norziha M. M. Zainudin, Suraya Yaacob , et al. · 2021

The pervasive use of the internet and mobile phone among the age group 5 – 17 years old makes learning through these media an attractive proposition. Mobile learning presents a flexible and inventive way of learning as well as the new norm…

Rapid Software Framework for the Implementation of Machine Learning Classification Models Open

Abdullah Sani Abd Rahman, Suraya Masrom, Rahayu Abdul Rahman, Roslina Ibrahim · 2021

Reseachers have acknowledged that machine learning is useful to be utilized in many different domains of complex real life problem. However, to implement a complete machine learning model involves some technical hurdles such as the steep l…

Hybrid deep learning model using recurrent neural network and gated recurrent unit for heart disease prediction Open

Surenthiran Krishnan, Pritheega Magalingam, Roslina Ibrahim · 2021

This paper proposes a new hybrid deep learning model for heart disease prediction using recurrent neural network (RNN) with the combination of multiple gated recurrent units (GRU), long short-term memory (LSTM) and Adam optimizer. Th…

Distance Education during COVID-19 Pandemic: The Perceptions and Preference of University Students in Malaysia Towards Online Learning Open

Husna Hafiza Razami, Roslina Ibrahim · 2021

The sudden shift from the brick-and-mortar approach to online distance learning due to the coronavirus pandemic greatly impacted everyone involved, particularly students. Hence, it is critical to identify the perception of students regardi…

Consumers’ Intention to Use Mobile Payment: A Case of Quick Response (QR) Code Applications Open

Nur Fathin A. Rosli, Roslina Ibrahim, Yazriwati Yahya, Norziha Megat Mohd Zainuddin, Suraya Yaacob , et al. · 2020

Many transactions, nowadays such as banking, transportations, online shopping and bills payments, are implemented using mobile payment. To date, many mobile payment services are available in Malaysia, with companies offering their services…

EDUGXQ: User Experience Instrument for Educational Games’ Evaluation Open

Vanisri Nagalingam, Roslina Ibrahim, Rasimah Che · 2020

A significant increase in research on educational computer games in recent years has proven that the demand for educational games has increased as well. However, production of incompatible educational games not only cost wastage of money b…

Proposed model of students acceptance of massive open online courses Open

Eithar Mohamed Mahmoud Nasef, Norziha Megat Mohd Zainuddin, Roslina Ibrahim, Sya Azmeela Shariff · 2019

The importance of using Massive Open Online Courses (MOOCs) as a source of learning can be clearly seen from the increase of the number of universities that have chosen to use them to offer courses to their students. While many efforts hav…

VISUAL ANALYTICS EVALUATION PROCESS: PRACTICE GUIDELINES FOR COMPLEX DOMAIN Open

Suraya Yaacob, Nazlena Mohamad Ali, Nafarizal Nayan, Hai‐Ning Liang, Ibrahim Ahmad , et al. · 2019

Visual analytics fundamentally influences the analytical process. Without proper guidance, the use of visual analytics in complex domain can become an obstacle that hides the usefulness of analytical data. Since evaluation is the only way …

Mobile Application Dictionary for Hearing Impaired Students Open

Nur Raihan Mohd Suhaimi, Norziha Megat Mohd Zainuddin, Hayatunnufus Ahmad, Nurazean Maarop, Roslina Ibrahim , et al. · 2019

Mobile applications have been acknowledged by societies as a support tool that can be accessed everywhere via smartphone or any handheld device. The use of technology nowadays is not only limited to normal people; it can also be used by th…

Determining Factors Influencing the Acceptance of Cloud Computing Implementation Open

Mohd Talmizie Amron, Roslina Ibrahim, Nur Azaliah Abu Bakar, Suriayati Chuprat · 2019

Cloud computing (CC) has attracted many organizations to invest in this virtual storage technology since it is seen to be able to help businesses in managing and sharing data in a more flexible, cost saving, and business scalability. Howev…

Development and Evaluation of Massive Open Online Course (MOOC) as a Supplementary Learning Tool: An Initial Study Open

Husna Hafiza R. Azami, Roslina Ibrahim · 2019

The popularity of Massive Open Online Courses (MOOCs) is prevalent among researchers and practitioners as a new paradigm of open education resource. Since the development of this technology may entail enormous investment, it is critical fo…

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