Tun Hussein Onn University of Malaysia

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    11883 research outputs found

    Religious Moderation and Interfaith Harmony in Maqashid Sharia: An Analytical Study of Quranic Hermeneutics

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    Ideally, religious moderation and communal harmony should serve as the cornerstone for building a harmonious social life, particularly in diverse societies. However, the reality reveals that interfaith conflicts and a lack of tolerance still often occur, driven by narrow and exclusive interpretations of religion. This phenomenon hinders the creation of peace and harmony within pluralistic communities. This article is based on qualitative research. The methodology employed is a content analysis of Quranic verses through a hermeneutic approach. The findings indicate that maqasid shariah provides a strong foundation for promoting religious moderation and communal harmony. Values such as justice, welfare, and the protection of individual rights embedded within maqasid shariah can serve as guidelines for creating a tolerant and harmonious society. The Quranic hermeneutic approach also aids in understanding the messages of moderation contextually, enabling practical solutions to the challenges of diversity in modern societ

    The Verification of Sea Level Anomaly (SLA) Versus Tide Gauge for Geoid Modelling

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    The increasing long-term sea level rise is particularly interesting and needs a significant investment in coastal protection procedures. The coastal sea level has been verified with tide gauges and well maintained with reliable data accuracy since a few centuries ago. Satellite altimeter has been used for sea level study and increasingly for operational purposes. However, the precision of altimetry data in coastal areas is frequently eliminated by the geographically correlated orbit errors, which induce a regional inhomogeneous mission bias. This study presents an effort to verify sea level anomaly based on altimetry data with tide gauge stations as an early procedure to provide good sea level anomaly data for mean sea surface, gravity anomaly, and geoid determination over Malaysian seas. The altimetry data is validated by comparing the sea level anomaly with ground truth data (tidal data) near the coastal area. Nine selected areas were chosen to represent the ground truth data. The findings found that the altimetry data over the South China Sea (Pulau Tioman, Geting, Cendering, Bintulu, and Kota Kinabalu) provided a good pattern, high correlation, and a minimum root mean square error (RMSE) value after the verification with tidal sea level anomaly data. However, it clearly shows that Tawau station over the Celebes Sea provides a poor pattern, correlation, and a high RMSE value with tidal sea level anomaly data. In conclusion, further enhancements are expected from the refined processing and filtering of altimetry data for the sea level study in the coastal zone

    Analysis of Driver Drowsiness Detection System Based on Landmarks and MediaPipe

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    Driver drowsiness is one of the leading causes of traffic accidents, especially during long-distance journeys. This study developed a detection system based on landmarks and the MediaPipe framework to analyze drowsiness through eye blink duration. The system employs coordinate point initialization using regression trees to accurately detect objects, such as eyes. The research data consists of 30 videos, each lasting 30 seconds, collected from four Trans Java bus drivers. The videos were extracted to identify facial detection histograms and analyzed based on eye blink duration. The testing results showed a detection accuracy of 81% with an error rate of 19% for distances of 10 to 100 cm, while testing with 30 videos achieved an average accuracy of 88.745% and a Mean Squared Error (MSE) of 7.615%. The test results show that CNN outperforms MediaPipe in detecting drowsiness, with a higher average accuracy of 76.79% compared to 73.83% and a lower MSE value of 47.33 compared to 48.27. CNN is also more consistent in handling extreme lighting variations, while MediaPipe excels in processing efficiency, making it suitable for devices with limited resources. This study demonstrates that the landmarks and MediaPipe-based system effectively and innovatively detects drowsiness, offering a solution to improve driver safety during trips

    iScan Campus: Revolutionizing Lab Asset Management Using RFID Technology

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    One of the rapidly developing trends in the modern world is the Internet of Things (IoT) – the concepts that define the use of physical objects for communication according to their function and context in the commercial, healthcare, transport, and home environments. Challenges arising from manual inventory management are well felt in learning institutions, especially where there is a lot of equipment in use each time such as computer laboratory. These challenges are mitigated in this project by suggesting an iScan Campus RFID-based inventory management system that rests on established accuracy, efficiency, and accountability in the inventorying management section. The system is installed with RFID tags and readers; thus, it provides efficient time- based tracking and management of equipment, thereby reducing equipment loss and optimizing the use of resources. The research employs the Agile software development approach that makes the development of the system flexible and able to accommodate changes in the requirements. The study therefore strongly supports the possibility of radio frequency identification technology as an effective tool for automated system of inventories, hence more deployment in similar events

    Silver Nanoparticle Synthesis and Characterization for the Treatment of Ganoderma Fungus

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    Almost every producing country's Gross Domestic Product (GDP) has benefited from the large-scale growth of the oil palm industry in recent years. However, there are a few risks to the palm trees that can have an impact on the GDP of our nation, one of which is the disease known as Ganoderma Basal Stem Rot (BSR). The lignin trunk of palm trees is broken down or degraded by a specific fungus called Ganoderma Boninense, Therefore, silver nanoparticles (AgNPs) have been created for this purpose due to their potential for treating fungus. The AgNPs were synthesized into a spherical shape by using Silver Nitrate (AgNO3 ), Sodium Borohyrdide (NaBH4), and Polyvinylpyrrolidone (PVP) due to itsstraightforward and adaptable setup. Regarding to the AgNPs characterization, the optical propertiesshowed the greatest absorption peak of transverse suface plasmon resonance (t-SPR) for AgNPsis 2.670 intensity at wavelength of 420nm. The structural properties of AgNPs exhibit an intensity peak asindexed (1 1 1), at 2(Theta) = 38.10°. The surface density for morphological properties is 0.1211 ± 0.000333. The study shows that 25.17% of fungal growth around Negative Control area, 2.09% around AgNPs Control area, and 0% of fungal growth around Positive Control area during the disc diffusion experiment after 7 days

    A Comparative Analysis of First-Difference GMM and System GMM Approaches on Economic Growth

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    One of the critical causes of Indonesia's economic growth is the presence of the Covid-19 Pandemic which has resulted in a decline in public consumption and investment interest at the household level in each region. One of the areas with a decrease in the number of affected tourist visits is Bali Province. This is because Bali is an icon of Indonesia and is the best tourist destination. The purpose of this study is to obtain the most suitable model to model economic growth with the FDGMM and Sys-GMM approach meeting the criteria of validity, consistency, and unbiased. This type of research is quantitative research with data sourced from the central statistical agency of Bali Province. The method used in this study is to compare the First-Difference Generalized Method of Moment (FD-GMM) and System Generalized Method of Moment (Sys-GMM) on economic growth data in Bali Province. The result of this study is the estimation of model parameters with the approach FD- GMM meets valid, consistent, and unbiased criteria. In contrast, the estimation of model parameters with the Sys-GMM meets validity and consistency criteria. However, the unbiased criteria are not met because the resulting model has a biased coefficient. The best model used to model Bali's economic growth data is the FD-GMM model. The above results imply that the existence of the population categorized as poor and the existence of the workforce are still a special concern. So, the suggestion in this study is that it is necessary to conduct a policy analysis from the Bali Provincial Government in dealing with poverty rates. Furthermore, employment management in Bali will be reorganized to be more directed and measurable in increasing the economic growth of Bali Province

    Voice Security Access Control for Home Door Lock and Appliances

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    Human voice and speech are among the most natural forms of communication, leading to extensive research into their application for security and access control. This paper presents a voice-based security access control system that leverages the HM2007 voice recognition IC and HM6264 (CMOS SRAM) to enable voice-commanded operation of doors using magnetic locks. Unlike traditional security mechanisms, such as key-based or biometric authentication (fingerprint and facial recognition), voice-based control offers a hands-free, non-contact alternative with increased accessibility. Experimental validation under quiet and noisy conditions demonstrates the system's robustness, with an accuracy of 86.67% in a quiet environment and 56.67% in a noisy setting. This study highlights the system’s ability to adapt to environmental conditions and mitigate common issues such as biometric spoofing and unauthorized access through stolen credentials

    Evaluation Dye Penetration for Detecting Flaws in Aircraft Components

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    Non-destructive methods are important in the maintenance of an aircraft due to their application and clear results. This study explores the efficacy of Dye Penetrant Testing in identifying defects or flaws in aircraft components such as propeller blades, bolts and nuts, modified exhaust engines, and towing bars. DPT is a non-destructive testing method to ensure the structural integrity and safety of aircraft by detecting surfacebreaking flaws. This study compares three application methods of spraying, brushing, and clothing. These several methods are to determine the most effective technique for detecting defects such as cracks. The inspection results demonstrate that while spraying provides quick and uniform coverage, brushing provides only targeted areas and more controlled application, and clothing offers thorough surface contact. By comparing these several results, the spraying method concludes that the percentage of time is 28.3% and the cost effectiveness is about 32.1%, resulting in a lower percentage than the brushing and clothing methods. The study highlights the importance of dwell time in the penetrant process with a different method. To conclude, this research contributes to enhancing the aviation safety industry by optimising DPT techniques and providing an evaluation of cost-time effectiveness

    A comparative DFT study to investigate structural, electronic, and optical properties and bandgap engineering of 2D XSn4O7(X=Ba, Ca) and XSi4O9(X=Ba, Ca) materials for photocatalytic and solar cell applications

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    This comparison study is based on Density Functional Theory (DFT) to investigate the structural, electrical, and optical properties of two-dimensional XSn4O7(X=Ba, Ca) and XSi4O9(X = Ba, Ca) materials. First-principles analysis using the PBE-GGA (Perdew Burke-Ernzerhof Generalized Gradient Approximation) shows that Ca and Ba have a major impact on the electrical characteristics, energy band gap (Eg), and structural stability. The volume of crystal cells of XSn4O7 (X=Ba, Ca) and XSi4O9(X= Ba, Ca) decreased from 581.794 to 354.022A3 due to the ionic radii difference of Ba and Ca from 268 to 231 pm respectively. The calculated energy bandgaps (Eg) are 4.28, 2.14, 0.88, and 0.34 eV for BaSi4O9, CaSi4O9, BaSn4O7, and CaSn4O7 respectively. These energy bandgap values indicate that BaSi4O9 and CaSi4O9 have wide band gaps while BaSn4O7 and CaSn4O7 exhibit small energy band gaps, making them suitable and more responsive to UV visible light. The detailed results of optical conductivity show that the peaks of optical conductance for 2D XSn4O7(X=Ba, Ca) and XSi4O9(X=Ba, Ca) reach maximum values of 1.7, 2.2, 2.9, and 6 cm− 1 in the ultraviolet spectrum at energies ranging from 0 to 40eV, respectively. Two dimensional XSn4O7 (X=Ba, Ca) and XSi4O9 (X=Ba, Ca) materials showed maximal optical absorption with absorption coefficient α(w) values of 4.1 × 105 , 2.2 × 105 , 1.5 × 105 , and 1 × 105 cm-1, respectively. In comparison to other materials, the highest absorption is found in BaSn4O7 and CaSn4O7, with absorption coefficients of 4.1 × 105 cm-1 and 2.2 × 105 cm-1, respectively. Our findings indicate that 2D XSn4O7(X=Ba, Ca) and XSi4O9(X=Ba, Ca) oxides, are appropriate for photocatalytic and solar cell applications

    Single and interval valued neutrosophic group decision making problem based on dynamic programming cluster model

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    In this study, we address the difficult group decision-making situations in which the preference data are represented by linguistic variables using the dynamic programming approach. Making decisions with exact numbers is difficult for decision-makers due to the ambiguity and complexity of reality. Since they cannot be computed directly, the language variables were encoded using single and interval neutrosophic sets. In a real-world context, neutrosophic sets are used to manage indeterminacy. Then, new models of similarity and distance are developed to quantify the relations between interval and single neutrosophic sets. Next, an interval-based clustering approach based on dynamic programming is proposed and used to group the decision-makers. In addition, a novel method is provided to calculate interval weights for decision-makers and clusters, considering both the cluster centre and group size. Next, a centroid-based ranking method is used to compare and rank the possibilities, and the effectiveness of the proposed strategy is demonstrated through illustrative trials. The purpose of the comparisons and discussions is to demonstrate its superiority

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