In recent years, the Muslim travel market has been recognised as an untapped and promising segment by tourism destinations worldwide, including OIC (Organization of Islamic Cooperation) and non-OIC countries. As a result, these destinations have started to develop Muslim-friendly environments for visitors and have tailored their products and servic

The usage of automobiles in cities and metropolitan areas has increased drastically throughout the years and there is a need to monitor the flow of road traffic to improve the traffic congestion and safety. One of the best ways to monitor the traffic is using an artificial intelligence and machine learning. An automatic vehicle tracking system base

MURNInet (Malaysia Urban Indicators Network) is a framework developed by FDTCP (Federal Department of Town and Country Planning, Peninsular Malaysia) to measure the sustainability levels and performance of urban development in Malaysia. Since its launch in 2002, MURNInet set as a foundation to assess urban development in Malaysia. After review and

This paper is intended to explain the challenges and suggestions to auditors of halal certification bodies in using Malaysian halal standards in Japan. Malaysian halal standards have been adopted by 84 certification bodies from 46 countries worldwide, 7 of them established in Japan. Auditors are the important personnel in ensuring the halal standar

DataCamp Classroom is a free online learning platform provided by DataCamp for educators and their students. It offers interactive courses and resources focused on machine learning, and programming languages like Python, R, SQL, and more. With DataCamp Classroom, educators can create virtual classrooms, assign courses, track student progress, and a

An environmental crisis is critical as it hurts the ecological, physical, and spiritual aspects. An extensive ecological and spiritual is necessary to comprehend this issue. The purpose of this study is to review the plethora of studies on environmental conservation from an Islamic perspective. This study uses a bibliometric analysis using RStudio

The success completion of a postgraduate student’s research is highly dependable on the supervision that the student receives. This implies that the making of a scholar begins with a good supervision that is managed by an equally good supervisory team. To achieve this, it is imperative that members of the supervisory team understand their roles a

This study discusses flood assessment that makes use of the geographic information system (GIS) technology to provide a thorough identification of flood susceptibility zones in Selangor, Kuala Lumpur, and Putrajaya. Using MCA-GIS, flood susceptibility zones were delineated based on environmental factors such as precipitation, TWI, distance from the

This research aims to understand funeral poverty among the Muslim community in Malaysia by using Machine Learning algorithms. Generally, the funeral poverty in Malaysia can be described as funeral in Malaysia are exorbitantly priced, inflicting a disproportionate amount of financial hardship on the poor. As the death rate continues to climb year af

The AI-based dermatology assistant for skin disease recognition is a state-of-the-art technological solution designed to address the disparity in access to professional dermatological services between urban and remote areas. This research employs the YOLOv8 model, which is a deep learning algorithm, to determine the most effective methods for detec