Jurnal Online Universitas Jambi
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DYNAMIC PROCESSES THROUGH THE MATHEMATICAL MODELS AND NUMERICAL EVALUATIONS
Full text linkThis article deals with analytical and numerical methods, particularly focusing on their application in solving displacement problem using mathematical models. This is a study on the evaluation of material damping ratios obtained from experimental data and laboratory tests, an essential criterion to reproduce reality in virtual simulations done for our computational models. The methodology involves iteratively seeking optimal solutions through multiple simulations, providing a way to estimate dynamic responses accurately. The article concludes by emphasizing the importance of numerical-stepping methods in tackling challenging problems in dynamic response analysis. It highlights the significance of numerical-stepping methods for handling non-linear systems and time-varying excitations in dynamic response analysis. This research addresses fundamental issues in the context of applied mechanics. In particular, the article is intended to provide a few computational algorithms where respective graphs are generated, depicting the relationship between time and displacement. Some highly efficient numerical procedures can be developed for linear systems by interpolating the excitation over each time interval and developing the exact solution using a variety of five methods. The numerical results obtained are compared with the theoretical solution. Our research manages to evaluate the depreciation of the material through the models reviewed in the article and gives the results according to the applied models by comparing the results and calculating the absolute error
THE INFLUENCE OF SUSTAINABLE ECOTOURISM INFRASTRUCTURE ON LOCAL GOVERNMENT POLICY IN THE NATIONAL STRATEGIC TOURISM AREA OF YOGYAKARTA
Full text linkEffective policymaking in tourism should reflect on-the-ground realities. This study examines the impact of sustainable ecotourism infrastructure on local government policies in Yogyakarta, assessing whether existing policies align with empirical field evidence. Additionally, it introduces a structured methodology for evaluating sustainability in tourism development. This study employs a mixed-method approach, combining Partial Least Squares-Structural Equation Modeling (PLS-SEM) for quantitative analysis with qualitative descriptive analysis. A purposive sampling method was used to select 100 respondents, including academicians, destination managers, local government officials, and tourism industry specialists. The analysis covers the outer model, inner model, and hypothesis testing to explore the relationship between sustainable infrastructure indicators and policy development. Findings reveal a significant relationship between sustainable tourism infrastructure and government policies, particularly in environmental sensitivity and waste management. However, water resource management has a minimal impact on policy decisions. This suggests that while sustainability concerns shape policymaking, some infrastructure aspects remain underprioritized. This study contributes to sustainable tourism research by introducing a 12-indicator ecological infrastructure assessment aligned with Global Sustainable Tourism Council (GSTC) standards. It also validates the Penta Helix model’s effectiveness in integrating multiple stakeholders into policy development. The study highlights the need for improved water management strategies, better environmental monitoring, and stronger policy frameworks. Future research should expand geographic scope and stakeholder representation to enhance policy recommendations for sustainable tourism governance
ISOLATION OF LIMONOIDS FROM CLAUSENA EXCAVATA BURM.F AND THEIR ANTIBACTERIAL ACTIVITY AGAINST Enterococcus faecalis
Full text linkThis study aims to isolate and characterize limonoid compounds from Clausena excavata Burm.F and evaluate their antibacterial potential against Enterococcus faecalis, a pathogen associated with antibiotic resistance in healthcare settings. Plant samples were collected from natural habitats in Southeast Asia and identified by botanists for authenticity. The leaves, stems, and fruits were dried, ground into fine powder, and subjected to ethanol/methanol maceration, followed by liquid-liquid fractionation. Column chromatography and Thin Layer Chromatography (TLC) were used for initial compound separation, while High-Performance Liquid Chromatography (HPLC) was employed for further purification. Structural characterization was conducted using Nuclear Magnetic Resonance (NMR), Mass Spectrometry (MS), and Fourier Transform Infrared Spectroscopy (FTIR). The antibacterial activity of the isolated limonoids was tested against E. faecalis using the disk diffusion method, with Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) determined through broth microdilution assays. The results indicate that limonoid compounds from Clausena excavata exhibit moderate antibacterial activity, producing inhibition zones smaller than standard antibiotics but still demonstrating potential for bacterial growth suppression. This study highlights Clausena excavata as a promising natural source of antibacterial agents, contributing to alternative solutions against antibiotic-resistant bacteria. The findings support further exploration of limonoids as lead compounds for novel antimicrobial drugs, promoting the use of natural products in combating antibiotic resistance and advancing phytopharmaceutical applications in healthcare
UTILIZING ARTIFICIAL INTELLIGENCE IN ENERGY MANAGEMENT SYSTEMS TO IMPROVE CARBON EMISSION REDUCTION AND SUSTAINABILITY
Full text linkThis article examines the revolutionary potential of artificial intelligence (AI) in improving energy management systems (EMS) to reduce carbon emissions and tackle pressing climate change issues. We conduct a comprehensive literature analysis to analyze AI-driven solutions for optimizing energy usage, minimizing carbon footprints, and promoting sustainability across diverse industries. Conventional EMS methodologies often depend on static and reactive strategies, limiting their efficacy in the face of increasing global energy needs and regulatory requirements. Conversely, AI-driven EMS provides sophisticated data analytics, predictive maintenance, and real-time optimization, markedly enhancing efficiency and emissions control. Our research includes case studies from both industrial and public sectors that illustrate the quantifiable effects of AI-integrated Energy Management Systems in reducing operating expenses, improving renewable energy integration, and fostering better energy practices. Significant hurdles, such as elevated implementation costs, data privacy issues, and regulatory compliance, are examined with prospective legislative frameworks to promote AI use. We underscore the significance of AI in delivering actionable insights, harmonizing energy practices with climate policy, and promoting a sustainable energy future. This study concludes that AI-driven Energy Management Systems are essential for significant emissions reductions and the development of resilient, eco-efficient energy systems, highlighting the necessity for strategic investment and supportive policies to optimize AI technology's societal and environmental advantages in energy management
The Asymmetric Impact of Exchange Rates on Indonesia's CPO Export Value
Full text linkThis study examines the asymmetric effect of the rupiah exchange rate on Indonesia's Crude Palm Oil (CPO) exports during the period 2006 to 2023. Utilizing the Nonlinear Autoregressive Distributed Lag (NARDL) approach, this study captures the short-term and long-term asymmetric relationship between exchange rate fluctuations and export values. Earlier research typically use linear models on aggregate data, thus possibly ignoring sector-specific dynamics. This study, on the other hand, focuses on the unique characteristics of CPO exports, which reveal different responses to rupiah appreciation and depreciation. The results of the analysis indicate a significant asymmetric effect in the long run, where rupiah depreciation increases the competitiveness of CPO exports, while appreciation tends to decrease it. However, no significant asymmetric impact was found in the short run. The NARDL analysis reveals that depreciation in the exchange rate exerts a more significant influence on export performance compared to appreciation., thus supporting the need for adaptive policies to maintain export stability in the CPO sector
A Genre Analysis of Car Brochure Advertisements: Exploring Move and Step Approach
Full text linkThe aims of this article is to understand the move and step of car brochures and explore how these elements vary across different examples. This article analyzed four car brochure from different brand using Bathia’s framework of move and steps with qualitative method. The result of this paper is that the car brochures from Nissan, Chery, Toyota, and KIA showcase distinct strategies tailored to their audiences. Nissan emphasizes simplicity and reliability, Chery appeals to modern, urban buyers with stylish designs, Toyota balances detailed information with innovation, and KIA highlights sustainability and luxury with electric and premium models. Each reflects its brand’s unique identity and audience focus.
Abstrak
Tujuan dari artikel ini adalah untuk memahami move dan step dalam brosur mobil serta mengeksplorasi bagaimana elemen-elemen ini berbeda pada berbagai contoh. Artikel ini menganalisis empat brosur mobil dari merek yang berbeda menggunakan kerangka move dan steps dari Bathia dengan metode kualitatif. Hasil penelitian menunjukkan bahwa brosur mobil dari Nissan, Chery, Toyota, dan KIA menampilkan strategi yang berbeda sesuai dengan target audiens masing-masing. Nissan menekankan kesederhanaan dan keandalan, Chery menarik minat pembeli modern dan urban dengan desain yang stylish, Toyota menggabungkan informasi detail dengan inovasi, dan KIA menonjolkan keberlanjutan serta kemewahan melalui model listrik dan premium. Setiap brosur mencerminkan identitas unik mereknya dan fokus pada audiensnya.Tujuan dari artikel ini adalah untuk memahami move dan step dalam brosur mobil serta mengeksplorasi bagaimana elemen-elemen ini berbeda pada berbagai contoh. Artikel ini menganalisis empat brosur mobil dari merek yang berbeda menggunakan kerangka move dan steps dari Bathia dengan metode kualitatif. Hasil penelitian menunjukkan bahwa brosur mobil dari Nissan, Chery, Toyota, dan KIA menampilkan strategi yang berbeda sesuai dengan target audiens masing-masing. Nissan menekankan kesederhanaan dan keandalan, Chery menarik minat pembeli modern dan urban dengan desain yang stylish, Toyota menggabungkan informasi detail dengan inovasi, dan KIA menonjolkan keberlanjutan serta kemewahan melalui model listrik dan premium. Setiap brosur mencerminkan identitas unik mereknya dan fokus pada audiensnya
MULTICULTURAL CLASSROOMSIN TEACHING: FOSTERING EQUITYAND CULTURAL COMPETENCE
Full text linkThis paper explores the key concepts, strategies, and challenges associated with teaching in multicultural classrooms. This article examines issues involved in teaching culturally diverse students and questions current practice in multicultural teacher education. Alternative approach to preparing teachers for multicultural classrooms. It highlights the importance of culturally responsive teaching, differentiated instruction, and promoting intercultural competence as essential strategies for engaging students from diverse backgrounds. The challenges in implementing multicultural education—such as language barriers, implicit bias, curriculum gaps, and socio-economic disparities—are also addressed. Recent research underscores the necessity of professional development for educators and systemic changes in curriculum design to better reflect cultural diversity. Through an analysis of the current landscape of multicultural education, the paper emphasizes the need for a comprehensive approach that incorporates diverse perspectives in teaching practices and institutional policies. By overcoming these challenges, educators can create learning environments where all students, regardless of background, can achieve their full potential. The conclusion underscores the importance of continuous learning, adaptability, and inclusive pedagogies in shaping the future of multicultural education
Augmented Reality in Ethnomathematics: Developing an Interactive Magazine to Enhance Students' Spatial Skills in Cube and Cuboid Geometry
No full textAugmented Reality (AR) has revolutionized mathematics education by providing interactive and immersive learning experiences. However, its integration into ethnomathematics-based learning remains underexplored, particularly in geometry instruction. This study aims to develop an Interactive Augmented Reality Magazine to enhance students' spatial skills in understanding cube and cuboid geometry through an ethnomathematical approach. The research employs the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) instructional model to systematically design and develop the AR-based learning material. The study was conducted at SMP Negeri 11 Kota Jambi, involving students in a classroom setting. The research stages include: (1) analyzing ethnomathematical concepts related to cube and cuboid in local cultural artifacts, (2) designing an AR-integrated interactive magazine, (3) developing the learning media, (4) implementing the materials in real classroom settings, and (5) evaluating students' spatial skills improvement using pre-test and post-test assessments. The findings reveal that the integration of AR in ethnomathematics-based learning significantly enhances students' spatial visualization and engagement. Students showed increased ability to manipulate 3D geometric objects, understand mathematical structures within cultural contexts, and apply spatial reasoning more effectively. Additionally, their motivation and interest in learning geometry improved. This study underscores the potential of AR-enhanced learning in making abstract mathematical concepts more tangible and culturally relevant. It is recommended that future research explore AR applications in other mathematical topics and conduct longitudinal studies to assess long-term effects on students' cognitive and problem-solving skills
The History of Slavery in Indonesia Through The Lens of Karl Marx's Political Economy Theory
No full textThis research explores the historical development of slavery in Indonesia through Karl Marx’s Political Economy theory. It traces the evolution of slavery from the pre-colonial to post-colonial periods and its impact on Indonesia’s social, economic, and political structures. Using Marx’s perspective, the study reveals how slavery was shaped by capitalist economic systems that enabled exploitation, particularly during the colonial era. It emphasizes the connection between slavery and class conflict, where capital owners benefited from the labor of oppressed slaves. The study also highlights various forms of resistance against this exploitative system. By examining these historical dynamics, the research offers a deeper understanding of the roots of social and economic inequality in Indonesia. It contributes to broader discussions on social justice by showing how political-economic systems influenced oppression. Additionally, this research serves as a foundation for developing effective policies to combat modern slavery and promote social welfare. Ultimately, it stresses the importance of addressing structural inequalities to achieve justice and equality in contemporary Indonesian society
TYPES OF INTELLIGANCE TESTS THAT CAN BE USED IN PRIMARY AND SECONDARY SCHOOL CHILDREN
No full textThis study aims to identify various types of intelligence tests that are appropriate and suitablefor use with students at the elementary and secondary school levels. The method used in thisresearch is a literature study that focuses on a literature review. Based on the reviewed research,there are various types of intelligence tests that can be used to assess the cognitive abilities ofelementary and secondary school children. For elementary school children, some commonlyused tests include the Stanford-Binet, Wechsler Intelligence Scale for Children (WISC), ColouredProgressive Matrices (CPM), and Culture Fair Intelligence Test (CFIT). These tests help identifystudents' intellectual potential and special needs, both in learning aspects and overall academicdevelopment. Meanwhile, for secondary school students, tests such as the Wechsler AdultIntelligence Scale (WAIS), Multidimensional Aptitude Battery-II (MAB-II), and Intelligenz StructureTest (IST) are more commonly used. These tests help measure more complex intelligence andidentify an academic or career path that aligns with students' interests and talents, assistingthem in future planning