Wan Azani Wan Mustafa
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Preferred name
Wan Azani Wan Mustafa
Official Name
Wan Azani, Wan Mustafa
Alternative Name
Mustafa, W.
Azani Mustafa, Wan
Mustaffa, Wan Azani
Wan Mustafa, Wan Azani
Main Affiliation
Scopus Author ID
57219421621
Researcher ID
J-4603-2014

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  • Publication
    Reduce PAPR in filtered-CPOFDM using hybrid method system
    (Semarak Ilmu Publishing, 2025-11)
    Azlan Yusof
    ;
    Ezmin Abdullah
    ;
    Azlina Idris
    ;
    Wan Azani Wan Mustafa
    5G multicarrier waveform Filtered Cyclic Prefix Orthogonal Frequency Division Multiplexing (F-CPOFDM) allows for high data speeds and increases in spectrum efficiency. The main drawback of F-CPOFDM is its high peak-to-average power ratio (PAPR), a common element of all multicarrier modulation schemes. In this research is investigate the implementation of a Hybrid strategy to reduce the peak to average power ratio (PAPR) in a F-CPOFDM system and evaluated the impact of employing a Hybrid Technique with Group Codeword Shift (GCS), Median Codeword Shift, Selective Codeword Shift (SCS), and Conventional F-CPOFDM on the reduction of peak to average power ratio (PAPR) in CP-OFDM. The novelty of this research is GCS method integration with WHT Precoding technique for reduce PAPR. Simulation results show that compared to traditional Filtered-CPOFDM, the GCS-WHT method reduces peak PAPR by 59.46 %, while the SCS- method reduces it by 32.43 % and the MCS-WHT method reduces it by 31.53%. Compare to the non-hybrid technique, the GCS only reduce 45.95%, while for SCS and MCS reduce 19.82% and 23.42% respectively. From the results, shows that Hybrid method is better performance compare with non-hybrid method.
  • Publication
    Mobile learning of Islamic studies: a comprehensive review
    (Semarak Ilmu Publishing, 2025-06)
    Wan Azani Wan Mustafa
    ;
    Khalilullah Amin Ahmad
    ;
    Fathullah Asni
    ;
    Muhamad Husni Hasbulah
    ;
    Hasrul Hashom
    ;
    Afiffudin Mohammed Noor
    Mobile learning (m-learning) has emerged as a transformative force in education, prompting significant exploration of its potential within Islamic Studies. This systematic review critically examines a diverse array of studies to provide a comprehensive overview of the integration of m-learning in Islamic education. As technology reshapes education, m-learning’s impact on Islamic Studies becomes a focal point. Moreover, the digital era presents opportunities to enhance engagement and accessibility to sacred knowledge. Traditional Islamic education faces challenges in adapting to modern learning paradigms. The exploration of m-learning’s role addresses the need for innovative approaches. This review analyzes educators’ readiness, the development of Islamic mobile applications, the efficacy of m-learning tools in Quranic education, and the dimensions of effective m-learning within Islamic Studies. A systematic approach was employed to select and analyze relevant studies. Consequently, these studies encompassed diverse geographic and educational contexts, providing a holistic view of m-learning in Islamic education. M-learning holds transformative potential within Islamic Studies. It presents an avenue to bridge tradition and innovation, making Islamic knowledge accessible and engaging. Educators, scholars, and learners can harness technology to enrich and disseminate Islamic teachings in a contemporary context. Furthermore, this systematic review offers comprehensive insights to guide the integration of m-learning in Islamic education, promoting a dynamic synthesis of heritage and progress.
  • Publication
    Unveiling the communication dynamics: a comprehensive review of mobile health applications
    (Semarak Ilmu Publishing, 2025-06)
    Wan Azani Wan Mustafa
    ;
    Miharaini Md Ghani
    ;
    Mohd Nizam Osman
    ;
    Noor Hidayah Che Lah
    ;
    Durratul Laquesha Shaiful Bakhtiar
    ;
    Mazrina Mazlan
    Technology has penetrated every aspect of our lives since the pandemic ended, from work to entertainment. The seamless integration of work, leisure, and learning with portable devices highlights the criticality of instantaneous information access. This escalation of technological change has given rise to mobile health applications that offer timely alerts, easily accessible information, and a range of responsibilities. This exhaustive evaluation examines these applications using data from the WoS and Scopus index-reviewed literature. Additional responsibilities, reminders, and the dissemination of knowledge are the three primary components of this study. Critical as healthcare technology evolves are mobile health applications that have been reviewed. In addition to aiding in recall, they also furnish vital health information. Health education programmes that are technology-mediated and patient-focused align well with this. This study incorporates the most recent research on mobile health applications into the ongoing discourse. The applications' multidimensional architecture facilitates a comprehensive and intuitive healthcare experience through the provision of reminders, notifications, and information dissemination. A commitment to the most recent literature in the English language and a multimethod, multimeasure assessment underscore the significance of technology that is centred around the patient. As we incorporate these technologies, healthcare is expected to undergo a paradigm shift towards patient-centric, evidence-based practices.
  • Publication
    Electronic Nose Testing for Confined Space Application Utilizes Principal Component Analysis and Support Vector Machine
    ( 2020-12-18)
    Muhammad Aizat Abu Bakar
    ;
    Abu Hassan Abdullah
    ;
    Wan Azani Wan Mustafa
    ;
    Zol Bahri Razali
    ;
    Syahrul Affandi Saidi
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Aman M.N.S.B.S.
    A confined space has a limited space for entry and exit but it is large enough for workers to enter and perform work inside. It is not designed for continuous occupancy because it can contribute atmospheric hazards accidents that threaten the worker safety and industry progress. In this work, we reported the testing an instrument to assist workers for atmosphere testing during pre-entry. An electronic nose (e-nose) using specific sensor arrays is the integration between hardware and software that able to sense different concentrations of gases in an air sample using pattern recognition techniques. The instrument utilizes multivariate statistical analysis which is Principal Component Analysis (PCA) for discriminate the different concentrations of gases and the Support Vector Machine (SVM) to classify the acquired data from the air sample. The instrument was successfully tested using diesel, gasoline, petrol and thinner. The results show that the instrument able to discriminate an air sample using PCA with total variation for 99.94%, while the classifier success rate for SVM indicates at 98.21% for train performance and 95.83% for test performance. This will contribute significantly to acquiring a new and alternative method of using the instrument for monitoring the atmospheric hazards in confined space to ensure the safety of workers during work progress in a confined space.
      6  40
  • Publication
    Automotive Mechanical Vehicle Starter
    (IOP Publishing, 2021-12-01)
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Zol Bahri Razali
    ;
    Wan Azani Wan Mustafa
    ;
    Syahrul Affandi Saidi
    ;
    Ahmad Anas Nagoor Gunny
    ;
    Setumin S.
    ;
    Osman M.K.
    ;
    Idris M.
    ;
    Akbar M.F.
    ;
    Muhammad Anas Ahmad Sarbini
    ;
    Nor Syamina Sharifful Mizam
    This research is used to crank start automotive vehicle. There are many different system used in order to start-up vehicles using electric starter, in the time of battery low-power or totally drained. The purpose of this research is to help the driver to get out of this difficulty. Nowadays there are many people that have experienced such a bad moment, where they are stranded at road side due to malfunction starter in their car because of battery problem. Most of the vehicle electric starter failure is because of battery corrosion or battery undercharged. The importance of this research is to solve this problem. Starter is a vital part of the vehicle, without it no automotive vehicles able to operate. These starters will rotate an internal-combustion engine to initiate the engine's operation under its own power. Starters also can be malfunction too due to corroded electrical connections or an undercharged battery. This system can be used to solve this problem. This system used human energy by using mechanical parts in order to produce electrical power. In order to produce electrical current, workforce will be applied by rotating the wheel that already linked by belt and from that rotations will trigger a magnetic force and it will produce an electrical current and supply it into battery. This system is divided into two development; hardware development and software development. The hardware development involved, mechanical device which is used and electrical device such as monitor. For software development, Fritzing is used to construct circuit.
      26  33
  • Publication
    Renewable Energy Driven Exhaust Fan for Use in Laboratory via IOT
    (Institute of Electrical and Electronics Engineers Inc., 2021-01-01)
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Wan Azani Wan Mustafa
    ;
    Akbar M.F.
    ;
    Syahrul Affandi Saidi
    ;
    Ahmad Anas Nagoor Gunny
    ;
    Zol Bahri Razali
    ;
    Osman M.K.
    ;
    Setumin S.
    ;
    Idris M.
    ;
    Mahendran Gunaseakaran
    ;
    Nor Syamina Sharifful Mizam
    This paper discussed on the hardware product of renewable energy driven exhaust fan for use in laboratory via IOT. Ventilation is generally deployed in buildings for maintaining user's safety and health. This renewable energy driven exhaust fan is the most considered system in improving the energy saving while sustaining user's safety and health. If we can renew and reuse the energy we waste, it would help in some way to the problem of scarcity of energy, which is major threat of present world. Initial capital cost of solar systems is still quite high when it comes to generate power for domestic. By using the concept of wind turbines wind-generated electricity can be used for battery charging and for connection with the power grid. Hence this research proposes a prototype of Renewable Energy Driven Exhaust Fan for use in laboratory via IOT. This research presents a prototype of regenerating power by an exhaust fan. The generated power can be either used directly or can be stored in a battery. This exhaust fan also can be controlled and monitored via IOT. The objectives of this research are, to design and develop an exhaust fan that can be driven by renewable energy, to design and develop an exhaust fan that can be controlled by IoT and to collect data and analyze the power consumptions and power saving. Methods used in this research is to use power from battery to operate the Fan 1. Than this kinetic energy produced by Fan 1 is used to drive Fan 2 and Fan 3 which are now actually a pair of generators with the help of charging circuit to directly recharge the battery which at first used to power up Fan 1. Analysis is then carried out to evaluate the theory, which actually agreed to the initial theory as presented
      11  63
  • Publication
    A comprehensive study: AI literacy as a component of media literacy
    (Semarak Ilmu Publishing, 2025-11)
    Miharaini Md Ghani
    ;
    Wan Azani Wan Mustafa
    ;
    Durratul Laquesha Shaiful Bakhtiar
    ;
    Moh. Khairudin
    The widespread use of AI-based technologies has sparked educational, social, and political interest in AI training. Education systems must prepare individuals for a world with AI. AI literacy is a cognitive and pedagogical difficulty. AI's language and intricacies need redefining literacy. Because these systems are easy to use, more individuals are utilizing them than those with limited conceptualizations (such as an inability to grasp the future relevance of these systems) or competencies (like an inability to comprehend how these systems function). The study investigates the increasing significance of artificial intelligence (AI) literacy within the context of media literacy. As AI technologies permeate various aspects of modern media, the capacity to comprehend and engage critically with these systems has become essential. The paper begins by analyzing the intricate intersection of AI and media, focusing on content creation, dissemination, and consumption. It then emphasizes the importance of AI literacy, which is the ability to comprehend, implement, and evaluate AI technologies critically, similar to traditional media literacy skills. Finally, the paper proposes that AI literacy, as part of media literacy, entails understanding how these systems function and their ethical and societal implications. The paper's conclusion offers a comprehensive framework for incorporating AI literacy into media education curricula, aiming to empower individuals to navigate, evaluate, and responsibly participate in the evolving AI-mediated media landscape.
      1  5