JOURNAL INFORMATION AND TECHNOLOGY MANAGEMENT (JISTM)

KAJIAN PENEROKAAN TEKNOLOGI REALITI MAYA (VR) DALAM KALANGAN GURU DAN MURID SEKOLAH DI PERLIS

Mon, 30 Sep 2024 00:00:00 +0800

Teknologi Realiti Maya (VR) telah muncul sebagai salah satu inovasi teknologi yang paling menarik dan berpotensi dalam bidang pendidikan. VR merujuk kepada teknologi yang mencipta persekitaran buatan yang dapat memberikan pengalaman imersif kepada pengguna seolah-olah mereka berada dalam dunia maya yang direka. Dengan menggunakan alat seperti alat dengar VR, pelajar dapat berinteraksi dengan persekitaran tiga dimensi (3D) yang dihasilkan secara digital, memberikan mereka peluang untuk merasai pengalaman yang sukar atau mustahil diperoleh dalam dunia nyata. Kajian ini bertujuan untuk meneroka penggunaan dan penerimaan teknologi VR dalam kalangan guru dan murid sekolah di Negeri Perlis. Dalam era digital yang pesat berkembang, VR menawarkan peluang baharu dalam pendidikan dengan menyediakan pengalaman pembelajaran yang interaktif dan imersif. Namun, tahap kesediaan dan penerimaan teknologi ini dalam kalangan guru dan murid di Perlis masih belum jelas. Kajian ini menggunakan pendekatan kajian kuantitatif dengan mengumpul data melalui soal selidik. Hasil kajian menunjukkan bahawa pelajar dan guru sangat berminat untuk mengaplikasikan teknologi realiti maya dalam sektor pendidikan. Mereka telah mempunyai gambaran awal berkaitan VR dan sangat yakin pengggunaan VR disekolah dapat meningkatkan prestasi pembelajaran. Walaupun terdapat minat yang tinggi terhadap penggunaan VR dalam pengajaran dan pembelajaran, terdapat beberapa cabaran yang perlu diatasi seperti kekurangan peralatan, latihan, dan sokongan infrastruktur. Kajian ini menggariskan beberapa cadangan untuk meningkatkan penerimaan dan penggunaan teknologi VR di sekolah-sekolah di Perlis.

HUBUNGAN ANTARA PESAKIT AIDS DENGAN PENAGIH DADAH MENGIKUT JANTINA DAN NEGERI DARI TAHUN 2016 HINGGA TAHUN 2021

Thu, 19 Sep 2024 00:00:00 +0800

Kajian ini dijalankan untuk mendapatkan hubungan di antara pesakit AIDS dengan penagih dadah di Malaysia. Laporan ini memaparkan data-data yang diperoleh dari pelbagai sumber seperti dari data portal, Jabatan Perangkaan Malaysia, Agensi Anti-Dadah Kebangsaan (AADK) dan lain-lain. Data yang diperoleh adalah data pesakit AIDS dan data penagih dadah mengikut jantina dan negeri dari tahun 2016 sehingga 2021. Melalui kajian ini, trend antara pesakit AIDS dan penagih dadah dapat dianalisis dan korelasi antara dua data ini juga dapat dikaji. Tambahan lagi, purata bagi kedua-dua hubungan pada setiap tahun juga dianalisis bagi memperoleh pola peningkatan ataupun penurunan berdasarkan tahun sebelumnya. Hasil dapatan dari kajian yang dijalankan dipaparkan melalui paparan secara visualisasi seperti graf. Hasil analisis mendapati bahawa bahawa bilangan pesakit AIDS lebih banyak dipengaruhi oleh gejala seks tidak selamat berbanding suntikan jarum (penagih dadah).

CASHLESS PAYMENT HESITANCY AMONGST UNIVERSITY STUDENTS

Mon, 30 Sep 2024 00:00:00 +0800

Electronic payments, also known as cashless transactions, offer numerous advantages over traditional cash transactions, such as eliminating the need for change, reducing the risk of theft, and enhancing convenience. Many retailers have embraced electronic payment methods, including QR pay, credit or debit cards, and e-wallets, as viable alternatives for customers. Despite the availability of these options, there remains a reluctance among university students and staff to fully adopt cashless payment methods. In addition, issues such as concerns over privacy and data security, a lack of trust in the reliability of digital payment platforms, and inadequate awareness of how these systems function contribute to this hesitation. Thus, this study aims to explore the underlying reasons for this hesitation. Findings reveal that attitudes, knowledge levels, and willingness to embrace cashless transactions are key factors influencing this hesitancy. Accordingly, it is crucial for university administrations to implement appropriate digital policies to facilitate the transition towards a fully cashless and digitally integrated campus environment.

DEVELOPMENT OF A MACHINE LEARNING-BASED WASTE CLASSIFICATION SYSTEM USING VGG-16 CNN FOR ENHANCED BIODEGRADABLE AND NON-BIODEGRADABLE SEGREGATION

Mon, 30 Sep 2024 00:00:00 +0800

Waste management struggles with the segregation of biodegradable and non-biodegradable waste due to improper disposal, leading to contamination and reduced recyclable material quality. This study addresses these challenges by developing a machine learning-based waste classification system. Utilizing image classification techniques, specifically the VGG-16 Convolutional Neural Network (CNN) model, the system categorizes waste into biodegradable and non-biodegradable using a dataset from an open-source website. The methodology includes eight phases: preliminary study, knowledge and data acquisition, data pre-processing, model design, development, testing, and evaluation. A prototype using Maker Uno and a servo motor physically demonstrates waste classification. Despite challenges like limited high-quality components, this study aims to enhance recycling efficiency and sustainability by using VGG-16 with different epochs and shows the prototype's effective functionality, offering a promising solution for improving waste segregation and management.

REINFORCEMENT LEARNING: METHODS AND RECENT APPLICATIONS

Muhammad Aiman Md Zuki, Nazlena Mohamad Ali, Chaw Jun Kit — Wed, 25 Sep 2024 00:00:00 +0800

This comprehensive analysis highlights the potential of Reinforcement Learning (RL) to transform intelligent decision-making systems by examining its techniques and applications in a variety of disciplines. The study offers a thorough examination of the advantages and disadvantages of several reinforcement learning (RL) approaches, such as Q-Learning, Deep Q-Networks (DQN), Policy Gradient Methods, and Model-Based RL. The paper explores RL applications in several domains, including robotics, autonomous systems, and healthcare, showcasing its adaptability in handling intricate decision-making assignments. RL has demonstrated promise in the field of healthcare for managing clinical resources, identifying chronic diseases, and improving patient therapy. Robotics uses reinforcement learning (RL) to create autonomous navigation and adaptive motor skills. The study highlights the advantages of reinforcement learning (RL) in managing high-dimensional state spaces, delayed rewards, and model-free learning, but they also point out certain drawbacks, including sample inefficiency and the exploration-exploitation trade-off. The paper highlights the flexibility and potential effect of reinforcement learning (RL) across industries, providing practitioners and academics looking to exploit RL in intelligent systems with insightful information. The future of adaptive decision-making in real-world scenarios may be shaped by RL's integration with other AI approaches, such as deep learning and transfer learning, which could further broaden its applicability to increasingly complicated domains as it continues to advance.

A COMPREHENSIVE STRESS MANAGEMENT APP FOR UNIVERSITY STUDENTS

Syaimak Abdul Shukor, Siti Sarah Aishah Ahmad Ariffin — Thu, 19 Sep 2024 00:00:00 +0800

Stress, a prevalent mental health disorder, significantly impacts university students, warranting dedicated attention due to its potential effects on their well-being and safety. The "Stress Management Application for Universiti Kebangsaan Malaysia (UKM) Students" is a strategic initiative designed to identify and assist students experiencing stress, consciously or unconsciously. The development of this application stems from the observation that numerous students face stress from academic challenges and family issues but feel embarrassed to seek face-to-face counselling. Additionally, economic pressures and living costs contribute to their financial stress. Aligned with Malaysia's Sustainable Development Goals, this application aims to collaborate with the UKM Counselling Unit to mitigate stress among students. It targets UKM students specifically, providing an innovative solution to detect stress levels—categorized as good, moderate, or dangerous—through a series of standard assessment questions. The application also facilitates access to nearby health facilities and offers a guidance function to arrange counselling appointments, with student information sent directly to the UKM Counselling Department. Furthermore, the application includes resources for effective stress management, such as exercise-based therapies. Developed using Android Studio and following the waterfall model, the application underwent planning, analysis, design, implementation, and testing phases. This comprehensive approach ensures that the application helps reduce stress among UKM students and streamlines the counselling process, enhancing the university's ability to support its students effectively.

PREVALENCE OF INTERNET ADDICTION AND ITS DEMOGRAPHIC DETERMINANTS: A CROSS-SECTIONAL ANALYSIS IN MALAYSIA

Md Zahir Abdul Hamid, Nor Shafrin Ahmad, Rahimi Che Aman — Mon, 30 Sep 2024 00:00:00 +0800

This study examines the prevalence of Internet addiction (IA) and its demographic determinants among adolescents in Kedah, Malaysia, aiming to inform targeted interventions and policies. A cross-sectional survey was conducted with 376 students aged 16-17 from urban and rural districts. The Chen Internet Addiction Scale (CIAS) was used to assess IA levels, and chi-square tests analyzed relationships between IA and demographic factors, including gender, race, family income, weekly Internet usage, smartphone ownership, and home Wi-Fi access. The study found that 26.86% of participants met the criteria for IA, with 14.10% at risk. Significant associations were observed between IA and gender (χ² = 8.437, p = .015), race (χ² = 29.951, p < .001), family income (χ² = 16.484, p = .002), weekly Internet usage (χ² = 21.496, p < .001), smartphone ownership (χ² = 8.597, p = .014), and home Wi-Fi access (χ² = 9.250, p = .010). Female students showed higher addiction rates (28.80%) compared to males (23.31%). Students from lower-income families (<RM1500.00) exhibited higher addiction rates (31.43%) than those from higher-income backgrounds. Interestingly, home Wi-Fi access was associated with lower addiction rates (20.40%) compared to those without (34.29%). No significant differences were found between urban and rural locations or age groups. The findings highlight the complex interplay of socio-economic, cultural, and technological factors influencing adolescents' online behaviors and underscore the need for interventions tailored to address gender, racial, and economic disparities. This study recommends community-based awareness programs, improved digital literacy, and support for vulnerable groups. Future research should focus on longitudinal studies and incorporate objective measures to better understand the development of IA over time.

FACTORS AFFECTING KNOWLEDGE SHARING IN THE MALAYSIAN ARMED FORCES

Kamsuriah Ahmad, Iryanti Ngadiman — Thu, 19 Sep 2024 00:00:00 +0800

Technological advancements in the era of globalization require dynamic changes in how organizations manage and share knowledge to stay competitive. Knowledge sharing is crucial for an organization to succeed and achieve its objectives. The Malaysian Armed Forces (MAF) places significant emphasis on knowledge sharing within the defence sector, particularly for success in military operations, which often involve collaboration with other security agencies. However, leveraging knowledge in defence organizations comes with its own set of challenges. Knowledge can drive growth in defence organizations, enabling them to conduct current operations and address both traditional and non-traditional threats. To fulfil this role, the MAF needs an effective mechanism to create, capture, organize, share, and use knowledge. The changing nature of conflict necessitates decentralized, agile, and ad hoc solutions for managing and sharing defence knowledge. With the rapid development of defence technology, it is essential to comprehensively understand the factors that influence knowledge sharing. The study found that key factors influencing the success of MAF operations include technology infrastructure, leadership commitment, reputation, performance efficiency, data accuracy, and improved decision-making. This finding contributes to the theoretical framework for determining the success of MAF operations and further strengthens the MAF's position as a credible, responsive, and dynamic military force.

DEVELOPMENT OF CAUSAL LOOP DIAGRAM FOR UNDERSTANDING THE SUSTAINABILITY OF MALAYSIAN GLUTINOUS RICE: A SYSTEM DYNAMICS APPROACH

Muhammad Khairul Zharif Nor A’zam, Ahmad Afif Ahmarofi — Mon, 30 Sep 2024 00:00:00 +0800

The cultivation of glutinous rice remains limited in Malaysia which occupies less than four percent of the total rice-growing area in the country. In this regard, this study examines the complex dynamics of the glutinous rice system in Malaysia using a causal loop diagram (CLD) to understand the interactions between various factors like productivity, land use, population growth, and food security. To fulfill that, a CLD based on the system dynamics (SD) approach is developed to highlight the reinforcing and balancing loops that drive and constrain the system. In the developed CLD, the causal relationships are established by connecting the identified cause-and-effect variables. Subsequently, the causal signs are determined based on a positive (+) or a negative (–) sign to each relationship between variables. As a result, balancing loops illustrate that an increase in research and development (R&D), training, and government subsidies can enhance rice production, thereby improving food security and income levels. However, these benefits are tempered by a reinforcing loop that reflects the system’s limitations, which eventually curb sustainability glutinous rice production, particularly caused by the increasing Malaysian population. Furthermore, higher productivity and food security must be managed carefully to avoid over-exploitation of resources. The insights from this model are critical for policymakers to ensure the long-term sustainability of the glutinous rice sector while meeting the growing demand.

DESIGN AND DEVELOPMENT OF A COMPUTER ASSISTED FMEA ANALYSIS TOOL FOR THE SEMICONDUCTOR INDUSTRY

Wed, 25 Sep 2024 00:00:00 +0800

The use of Failure Mode and Effect Analysis (FMEA) has become widespread in various industries to address quality and reliability issues that may occur in a system or process. However, the risk assessment process using traditional FMEA is very time-consuming because it requires the evaluator to assess the risk for each identified potential failure mode one by one, based on the extracted historical data. Without proper consideration of the system or process being evaluated, the evaluator may make incorrect judgments, causing the FMEA results to be inaccurate and unreliable. In this study, an interactive FMEA tool that uses a standard risk factor input as the main reference was developed using Excel software and Tableau software. Semi-structured interviews were conducted at the initial stage of the study to obtain basic information about the existing FMEA approach in the semiconductor industry. With this information, a standard reference for risk factor input was established for the FMEA tool. The developed tool was then tested in the real semiconductor industry to validate its effectiveness and practicality. The results show that the developed interactive FMEA tool holds significant potential for industrial usage in terms of streamlining the FMEA analysis process, providing a comprehensive visualization of the identified potential failure modes, and improving information sharing within the organization. With the presence of this interactive FMEA tool, users can not only produce more accurate and reliable FMEA results based on built-in risk factor input standards, users can also view the generated FMEA results online through the Tableau dashboard.

PEMBANGUNAN SISTEM PENGURUSAN PENYELIAAN SISWAZAH BERPUSATKAN PELAJAR BERASASKAN METODOLOGI AGILE

Thu, 19 Sep 2024 00:00:00 +0800

Kajian ini meneroka pembangunan sistem pengurusan penyeliaan pelajar siswazah yang berpusatkan pelajar menggunakan metodologi Agile di institusi pendidikan tinggi. Sistem ini direka untuk meningkatkan pengalaman penyeliaan pelajar siswazah, khususnya dalam konteks program kedoktoran di mana penyelesaian yang tepat pada masanya sering menjadi cabaran. Metodologi Agile, yang dicirikan oleh proses iteratif dan kolaborasi, dapat menyediakan sokongan berstruktur yang diperlukan sepanjang proses penyelidikan dan penyeliaan. Walau bagaimanapun, pembangunan sistem ini menghadapi beberapa isu dan cabaran. Salah satu cabaran utama adalah keperluan untuk membina hubungan yang kukuh antara pelajar dan penyelia, yang mengimbangi antara bimbingan dan autonomi. Tambahan pula, penerapan metodologi Agile memperkenalkan kerumitan tambahan dalam pengurusan projek penyeliaan, yang boleh menyebabkan kekeliruan mengenai peranan dan tanggungjawab dalam kalangan penyelia dan pelajar. Isu lain termasuk reka bentuk dan penyampaian kursus yang berkesan berdasarkan prinsip pembelajaran berpusatkan pelajar serta mewujudkan persekitaran pembelajaran yang inklusif dan menyokong. Metodologi kajian ini menggunakan pendekatan adaptif, menggabungkan kaedah Pembangunan Perisian Kitaran Hidup (SDLC) Agile. Data dikumpulkan melalui temubual dan kajian literatur, serta menggunakan Skala Kebolehgunaan Sistem (SUS) untuk menilai kepuasan pengguna. Dapatan menunjukkan bahawa walaupun sistem ini diterima baik oleh pengguna, terdapat ruang untuk penambahbaikan, khususnya dalam aspek konsistensi penggunaan dan navigasi. Kesimpulannya, sistem ini dapat meningkatkan pengalaman pendidikan pelajar dengan memfasilitasi komunikasi dan kolaborasi yang lebih baik antara pelajar, penyelia, dan pentadbir. Namun, untuk memastikan pelaksanaan yang lebih berkesan, perlu ada penambahbaikan berdasarkan maklum balas pengguna dan cabaran yang dikenalpasti. Cadangan termasuk pengoptimuman pengalaman pengguna, peningkatan latihan dan sokongan, dan perbaikan saluran komunikasi. Melalui penambahbaikan ini, sistem penyeliaan yang lebih responsif dan efektif dapat diwujudkan, menyumbang kepada kejayaan dan kepuasan pelajar siswazah.