Open Journal System Universiti Malaysia Kelantan
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A review on Acetes morphological and molecular identification, and its distribution
No full textThis review explores some aspects of Acetes spp., which covers its morphological and molecular identification and geographical distribution. Identification methods, including morphological and molecular approaches, are presented to improve the understanding of Acetes spp. diversity. The review explores the global distribution of each species of Acetes. The information presented serves as a foundational resource for researchers, practitioners, and enthusiasts interested in the various aspects of Acetes spp
Factors Influence the Acceptance of Smart Farming Technologies (SFTs) among Youth in Higher Learning Education in Malaysia
No full textSmart farming, a modern approach that integrates technology and innovation into agricultural practices, presents a compelling opportunity to attract young people to the agricultural sector. This approach has the potential to transform youth perceptions of agriculture, shifting it from a perceived outdated and unappealing career path to a viable and profitable option. Therefore, this research aims to determine the factors influencing the acceptability of Smart Farming Technologies (SFTs) among youth in selected public universities. Findings indicate that all factors exhibited strong positive correlations (>0.6) with the adoption of SFTs among youth. Attitude emerged as the most influential factor, followed by knowledge and awareness, demonstrating the highest standardized coefficient (0.406) and t-value (7.034). These results suggest that a positive attitude towards SFTs is a critical factor in influencing their acceptance among young people. This study emphasizes the crucial role of knowledge, attitude, and awareness in both promoting SFTs among youth and empowering them to facilitate the adoption of agricultural technology
A Case Survey on the Living Habits and Awareness of Food Waste Composting in Layang-Layang, Johor
No full textFood waste management is a critical issue in modern urban landscapes. This study investigated the living habits and awareness of food waste composting in Kampung Jaya SC Sepakat community, Layang-Layang, Johor. An analysis of 273 participants in the survey study revealed that the community had varied living habits and the rates of food waste composting ranged from 40% to 80%. There was a clear correlation between knowledge about composting and the adoption of sustainable behaviors that minimized food waste within this community. A significant number of participants also demonstrated knowledge of household composting equipment and stated a strong inclination to make use of it. The study has generated valuable insights for potential food waste management practices and environmental organizations in the efforts of food waste reduction and composting
Land suitability Analysis for Sustainable Agriculture Development using Multi-Criteria Analysis and Machine Learning Techniques: Case Study of Shibpur Upazila
No full textAssessing the suitability of crops is crucial for determining a plot of land\u27s capacity for producing crops sustainably. The primary objectives of this study are to conduct a land suitability analysis for sustainable agricultural development and to develop a land information system with crop recommendations. In this study, land suitability categorization and crop recommendations were produced while taking into account many criteria such as slope, elevation, land cover, low flood risk, soil moisture, and favorable soil. Land suitability is categorized into three categories: most suitable, suitable, and less suitable. The results of the land use map analysis show that agricultural land is 57% of total land. Out of total agricultural land, 19.44% is most appropriate for agriculture, while 32.22% is suitable and 48.34% is less suitable. The research conducted here developed a Mouza Plot-wise Land Information System (LIS) that is placed on a cloud server, providing simplicity of use and flexibility. This system helps people or local authorities to know if this land is suitable, less suitable, or not suitable for Agriculture
Aplikasi Ijtihad dan Penetapan Syariat Islam dalam Kanun Jenayah Syariah II(1993) 2015 Kelantan
No full textSyariat Islam bertujuan mengatur sistem dan menjaga kemaslahatan manusia dalam segenap aspek kehidupan. Pelaksanaannya sangat penting bukan sahaja dari sudut tuntutan agama malah demi kesejahteraan hidup dalam sesebuah masyarakat. Salah satu komponen syariat penting bagi mencapai hasrat tersebut adalah undang-undang jenayah melibatkan hudud, takzir dan qisas. Kerajaan Negeri Kelantan yang ditadbir oleh Parti Islam Se-Malaysia (PAS) telah melaksana usaha sejak 1993 bagi merealisasikan pelaksanaan perundangan tersebut melalui Kanun Jenayah Syariah II (1993) 2015 (KJS) yang telah melalui proses pindaan pada 2015. Walau bagaimanapun selain isu perlembagaan dan bidang kuasa, masih timbul persoalan terhadap aplikasi ijtihad kanun ini adakah menepati dalam konteks keperluan semasa mengikut ketetapan syariat. Kajian ini menggunakan kaedah kualitatif melalui rujukan kepustakaan termasuk dokumen-dokumen penting berkaitan dan juga sesi temu bual mendalam bersama informan penting yang terlibat berkaitan KJS II. Hasil kajian mendapati KJS II mengandungi 71 seksyen dan empat jadual serta terdiri daripada enam bahagian termasuk Hudud, Qisas dan Takzir. Kanun ini juga memperuntukkan aspek pentadbiran melibatkan hal ehwal berkaitan mahkamah, pelantikan hakim, gaji dan keistimewaan hakim-hakim
A Design of Mini Hydro Turbine System at Orang Asli Village, Kg Redig Pos Hau, Gua Musang
No full textThis research project investigates the feasibility of implementing a mini-hydro power system in Kampung Redig, a remote Orang Asli village in Pos Hau, Gua Musang, Malaysia, to address the community\u27s ongoing electricity challenges. The village currently relies on a mix of solar panels and diesel generators, both of which are unsustainable due to high maintenance costs and increasing fuel prices. Designed by the Faculty of Bioengineering and Technology at Universiti Malaysia Kelantan (UMK) in collaboration with the Society of Petroleum Engineers Kuala Lumpur Section (SPEKL), and industry experts, the mini-hydro system utilises the kinetic energy of river water to generate up to 101 kW of electricity. This research explores the system\u27s technical design and potential to provide a more sustainable and affordable energy source for the village. Additionally, the project offers economic benefits by involving the Orang Asli community in the installation process, providing them with valuable skills and income. The results demonstrate the positive impact of renewable energy solutions on rural communities, fostering stronger relationships between the Orang Asli, UMK, and external stakeholders while improving living standards through reliable electricity access
Investigation and Properties of Waste Banana Peel Composite for Paper Making Consist of Egg Shell
No full textBanana peels also include a range of starch and non-starchy chemicals, including cellulose, hemicellulose, lignin, pectin, and several other organic molecules. The banana peel\u27s makeup is mostly made up of these non-starchy ingredients. Plant cell walls are structurally supported by the complex polysaccharide’s cellulose and hemicellulose. Lignin is a sophisticated polymer that gives plant tissues stiffness. A form of carbohydrate called pectin has qualities that let it gel and function as a natural glue. The paper making continued growth with a new combination for reducing the cost of paper. The study of the waste box (WB), waste banana peel (WBP), and eggshells as a filler is tested for paper making using a pneumatic sheet press machine for 3 minutes. This paper was dried under the sunlight or iron until it was dried properly. The qualities for paper production are demonstrated by using varied grams of each paper throughout the combination paper-producing process and evaluating the physical and mechanical properties of paper made from different combinations. The evaluation involved the waste box and waste banana peel composite consisting of eggshells with a tensile strength test, tear test, and physical testing using a microscope, as well as determining starch and non-starch with iodine solution as testing
Effect of Structural, Optical, and Antibacterial Properties of Various Zinc Oxide Morphologies
No full textThis study investigates the influence of different zinc oxide morphologies on their structural, optical, and antibacterial properties. These investigations have extensive antibacterial capabilities of zinc oxide (ZnO) nanostructures, effectively targeting various microorganisms prevalent in environmental settings, including soil, water, and food. The synthesis of ZnO nanostructures was conducted through a hydrothermal method, varying the pH from 8 to 12, using zinc chloride (ZnCl) and sodium hydroxide (NaOH) as precursors, and subjected to the 24-hour heating process at 180°C. The characterisation of the samples involved X-ray diffraction (XRD), Ultraviolet-Visible (UV-Vis) spectroscopy, and inhibition zones in Escherichia coli (E. coli) agar plates. The XRD pattern illustrated the hexagonal wurtzite structure of the ZnO nanostructure, with the average crystallite size calculated. UV-Vis spectroscopy indicated absorption peaks of ZnO around 300 to 400 nm, signifying a blue shift. Furthermore, optical band gaps, derived from UV spectroscopy, demonstrated an increment from 2.88 to 3.25 eV across all samples. The size of the inhibitions zone increased as the pH values of ZnO increased. ZnO shows increased inhibition zones with higher pH, hexagonal wurtzite structure, and increasing optical band gaps. The relationship between zinc oxide morphologies and their structural, optical, and antibacterial properties offers the development of ZnO-based materials with enhanced performance for biomedical, pharmaceutical, and environmental applications
Construction of a Competency-Based Assessment Tool for Microstructural Analysis in Practical Metallurgical (CAT-M)
No full textThe Metallurgy Laboratory course emphasizes learning outcomes in microstructural analysis and heat-treatment processes; however, existing assessments rely predominantly on knowledge tests and lack comprehensive tools for evaluating practical skills and professional attributes. This limitation restricts students from identifying their competency levels and hinders effective learning development. To address this gap, the present study developed and validated the Competency-Based Assessment Tool for Microstructural Analysis (CAT-M) to provide a comprehensive evaluation of student performance in practical metallurgy. The study involved 30 third-year students enrolled in the Industrial Education Program at King Mongkut’s University of Technology Thonburi during the second semester of the 2023 academic year. CAT-M comprises three components: a multiple-choice knowledge test, a rubric-based practical skill assessment, and a behavioural rating scale that assesses responsibility, discipline, and safety awareness. Content validity was examined using the Item-Objective Congruence (IOC) method, while test quality was evaluated through item analysis and reliability indices. IOC values ranged from 0.67 to 1.00. The knowledge test demonstrated item difficulty ranging from 0.20 to 1.00, with discrimination indices of 0.20–1.00 (pre-test) and 0.00–1.00 (post-test). Reliability indices were acceptable, with KR-20 values of 1.12 (pre-test) and 1.19 (post-test), and Cronbach’s alpha coefficients of 0.63 and 0.53. The rubric and behavioural scale also demonstrated acceptable validity with IOC values above 0.50. The findings indicate that CAT-M is a valid, structured, and appropriate instrument for assessing knowledge, skills, and attributes. By integrating multiple domains, CAT-M enhances evaluation practices, supports student self-awareness, and strengthens competency-based curriculum development in technical and vocational education
Enhancing Electrical Engineering Education with Python AI: A Case Study at Pibulsongkram Rajabhat University
No full textThis paper specifically applies artificial intelligence (AI) techniques to power flow analysis, a core topic in the Power System Analysis course. Power flow problems involve iterative numerical computations that require computer-based solutions. The study was conducted at Pibulsongkram Rajabhat University, which currently offers an undergraduate program in Electrical Engineering. The researchers found that the utilization of AI programs requires high-performance computing systems to handle intensive processing tasks. Therefore, a series of tests was conducted using complex computational problems on laboratory-based computers in order to evaluate both the performance and the processing time of the computing systems for AI program execution. In this study, a 3, 9, 14, and 30-bus power system model was utilized as a test case. To evaluate the feasibility and performance of AI-assisted power flow analysis in an educational setting, the developed Python-based AI program, which uses Artificial Neural Networks (ANN), was executed on four types of computing platforms: a MacBook, a high-performance laptop, a mainstream consumer-grade laptop, and a standard desktop computer available in university laboratories. Experimental results showed that while the MacBook and high-performance laptop delivered the fastest in 2844 sec and 3986 sec of computation times, the other platforms also proved adequate for educational use. In contrast, the consumer-grade laptop and laboratory PC, in 7422 sec and 9244 sec of computation times, exhibited noticeably slower performance. Although computing performance varied, all tested platforms proved to be adequate for educational purposes, especially in supporting the teaching of AI applications and Python programming in power system analysis. This study demonstrates that Python-based AI tools can effectively enhance engineering education by supporting both technical knowledge and computational skills