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Zeehimin Huang Ping
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International Journal of Enterprise Modelling
Published by International Enterprise Integration Association
ISSN : 16939220     EISSN : 29878713     DOI : https://doi.org/10.35335/emod
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Transportation
The International Journal of Enterprise Modelling serves as a venue for anyone interested in business and management modelling. It investigates the conceptual forerunners and theoretical underpinnings that lead to research modelling procedures that inform research and practice.
Arjuna Subject : Matematika - Matematika Terapan
Articles 5 Documents
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Search results for , issue "Vol. 17 No. 3 (2023): September: Enterprise Modelling" : 5 Documents clear
Enhancing Multiplication Skills: The Way Modeling Method and Mathchess Games in Educational Practice Pujiastuti, Lise; Wahyudi, Mochamad
International Journal of Enterprise Modelling Vol. 17 No. 3 (2023): September: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/emod.v17i3.78

Abstract

This research delves into the exploration of an innovative educational approach aiming to enhance multiplication skills among students. The study investigates the combined efficacy of the Way Modeling Method, utilizing visual representations, and Mathchess games, a gamified learning approach, in improving multiplication proficiency. Through a quasi-experimental design involving a control and experimental group, elementary school students aged 8 to 10 were exposed to either traditional instruction or the combined intervention. Pre-tests and post-tests were administered to measure changes in multiplication skills, accompanied by qualitative assessments through participant feedback and observations. The results unveiled significant improvements in the experimental group, indicating a substantial enhancement in accuracy, comprehension, engagement, and confidence in solving multiplication problems. Comparative analysis between groups highlighted the distinct effectiveness of the combined methodology, aligning with cognitive learning theories and emphasizing the potential for dynamic and interactive pedagogical approaches in fostering mathematical skills. These findings present implications for educational practice, advocating for the integration of diverse teaching methodologies catering to varied learning styles. Furthermore, they pave the way for future research in optimizing these approaches and exploring their broader applications in mathematical education.
Enhancing Mathematics Education Through Collaborative Learning: A Study of Two Stay Two Stray (Ts-Ts) and Think-Pair-Share (TPS) Models within Realistic Mathematics Education Sunandar, Dede
International Journal of Enterprise Modelling Vol. 17 No. 3 (2023): September: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/emod.v17i3.79

Abstract

This study evaluates the Two Stay Two Stray (Ts-Ts) and Think-Pair-Share (TPS) learning models in Realistic Mathematics Education (PMR) arithmetic learning activities. The study examines how collaborative pedagogical methods affect students' mathematical ability, problem-solving skills, and participation in varied educational environments. A quasi-experimental approach included various participant groups of varying grade levels and academic skills. To evaluate results, the research methodology included quantitative assessments, qualitative observations, questionnaires, interviews, and data analysis. After PMR used Ts-Ts and TPS models, pupils' mathematics understanding improved significantly. Quantitative studies showed improved test results, indicating student proficiency. Qualitative evaluations showed higher engagement, dynamic peer interactions, and deeper conceptual understanding during collaborative learning. Student questionnaires and educator interviews confirmed that these models promote communication, critical thinking, and math applications. TPS highlighted systematic individual contemplation and inclusive involvement, while Ts-Ts promoted vibrant group conversations. The results imply that the Ts-Ts and TPS models work together to promote collaborative learning and accommodate varied learning styles. Integrating these concepts into curriculum frameworks, promoting educator professional development, and pushing for inclusive mathematical education policy are recommended.
Unveiling Agricultural Land Dynamics: Satellite-Based Change Detection for Sustainable Farming Practices Alesha, Aisyah; Lee , Ricardo
International Journal of Enterprise Modelling Vol. 17 No. 3 (2023): September: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/emod.v17i3.80

Abstract

The study investigates the intricate dynamics of agricultural landscapes through the lens of satellite imagery and remote sensing technologies. Leveraging multi-source data and advanced analytical techniques, the research aims to detect and analyze changes in agricultural land, spanning land use patterns, crop health, and environmental impacts. Using a combination of satellite imagery from diverse sources such as Landsat, Sentinel missions, and commercial providers, the research employs spectral analysis, machine learning algorithms, and temporal assessments to unveil temporal and spatial changes in agricultural terrains. The findings showcase significant shifts in land use, highlighting urban encroachment, alterations in crop patterns, and ecological impacts of agricultural practices. Insights into crop health indicators reveal stress factors affecting agricultural productivity, aiding in precision agriculture and adaptive farming strategies. Moreover, the research extends its implications beyond agriculture, influencing policy-making, environmental conservation efforts, and technological innovations. It serves as a foundation for sustainable land management, guiding policies and practices that harmonize agricultural productivity with ecological preservation
Enhancing Construction Worker Safety: Real-time Health Monitoring through Wearable Technology Lee, Poizot Li
International Journal of Enterprise Modelling Vol. 17 No. 3 (2023): September: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/emod.v17i3.81

Abstract

Wearable technology can improve worker safety, productivity, and well-being in the construction business, according to this study. Wearable device health parameters are analyzed quantitatively and worker experiences and perceptions are analyzed qualitatively in the study. A paradigm change in construction worker health monitoring is real-time monitoring of important health parameters including heart rate, body temperature, and hazardous exposure with wearable technology. Continuous monitoring allows workers and management to quickly identify and mitigate health risks, creating a safer workplace. Data shows wearable technology's many benefits. Over and above safety, the technology promotes health by giving workers individualized input to make informed health decisions. Management can optimize work conditions, allocate resources, and improve safety standards via data-driven decision-making. Technology adoption issues like privacy and user approval are important. Successful integration into the construction workplace requires ethical practices and user-centric design. This study shows that wearable technologies can transform construction worker health monitoring. The study's findings inspire innovation, interdisciplinary collaboration, and a concentrated effort to make construction workplaces safer, healthier, and more efficient.
Enhancing hotel investment analysis: A decision support system utilizing the Fuzzy Tsukamoto Method in the hospitality industry Rioles, Philiphe de; Kristomus, Kristomus
International Journal of Enterprise Modelling Vol. 17 No. 3 (2023): September: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/emod.v17i3.82

Abstract

This research uses the Fuzzy Tsukamoto Method to construct a decision support system (DSS) to change hotel investment decision-making. The study integrates quantitative and qualitative elements, accommodates uncertainties, and provides stakeholders with full insights for informed decision-making to meet the complexity of hotel investments. Systematic data collecting from financial measures, market trends, customer preferences, and expert opinions is used. The DSS combines various inputs using computer intelligence to analyze investment opportunities. The DSS's capacity to include subjective inputs and enable scenario evaluations shows its complete grasp of investments. Consumer behavior, market trends, risk assessments, and sustainability correlations greatly impact investment strategies. System strengths include adaptability, extensive analysis, and educated decision-making. However, interpretability, data quality, and real-time adaption issues recommend future study improvements. In hotel investment decision assistance, this research is groundbreaking. The DSS's sophisticated, data-driven insights can allow stakeholders to take a more strategic, sustainable, and adaptive approach to the changing hospitality business. Further refinements and innovations will strengthen its effectiveness, enabling robust and informed hotel investment decisions in the changing landscape

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