scholarly journals PENGEMBANGAN MEDIA PERMAINAN MONOPOLI PEMBELAJARAN MATEMATIKA

2021 ◽  
Author(s):  
Putri Yeni Lestari ◽  
Mohammad Edy Nurtamam ◽  
Wanda Ramansyah
Keyword(s):  
Sd Model

Berdasarkan hasil penelitian di SD Negeri Sukorejo 2 Lamongan pembelajaran pada mata pelajaran Matematika guru masih menggunakan metode ceramah dan tugas sehingga proses belajar mengajar di dalam kelas monoton. Pengembang membuat media alternatif yang dapat memberikan daya tarik sehingga dapat meningkatkan hasil belajar dan mempermudah guru dalam menyampaikan materi pembelajaran. Tujuan Penelitian pengembangan ini adalah untuk merancang dan menguji kelayakan media permainan monopoli pembelajaran untuk digunakan sebagai pendukung pembelajaran Matematika materi Unsur dan Sifat-sifat bangung Datar Sederhana bagi siswa kelas 3 SD. Model Pengembangan yang digunakan adalah model Borg and Gall, media monopoli pembelajaran ini diujicobakan kepada siswa kelas 3 SD Negeri Sukorejo 2 Lamongan mata pelajaran Matematika. Hasil yang diperoleh nilai uji kelayakan media permainan monopoli pembelajaran yang dikembangkan menurut ahli desain pembelajaran memperoleh hasil sebesar 86.53%, ahli media pembelajaran memperoleh hasil sebesar 93,33%, dan ahli materi memperoleh hasil sebesar 87,50%. Berdasarkan hasil uji kelayakan tersebut dapat diinterpretasikan bahwa media permainan monopoli pembelajaran yang dikembangkan menurut para ahli validasi termasuk pada kriteria sangat layak, serta bisa digunakan untuk mendukung pembelajaran Matematika materi Unsur dan Sifat-sifat Bangun Datar Sederhana bagi siswa kelas 3 SD Negeri Sukorejo 2 Lamongan

Research on Combat SD Model Based on OODA Loop

2015 ◽  
Author(s):  
Gao Dapeng ◽  
Huang Jianming ◽  
Yuhu ◽  
Xu Guoqian ◽  
Zhang Nainiang
Keyword(s):  
Model Based ◽  
Sd Model

A dynamic Modelling of Labor Productivity Impacts Arising from Change Orders in Road Projects

2021 ◽  
Author(s):  
Zain Ghazi Al-Kofahi ◽  
Amirsaman Mahdavian ◽  
Amr Oloufa
Keyword(s):  
Labor Productivity ◽  
Construction Projects ◽  
Productivity Loss ◽  
Dynamic Modelling ◽  
Change Orders ◽  
Factors Affecting ◽  
Road Projects ◽  
Change Order ◽  
The Impact ◽  
Sd Model

It is vital to investigate the system dynamics (SD) between the change orders and labor productivity to identify the causes of the productivity loss of the construction projects. Most productivity loss studies were financed from the contractor’s part and rely on the contractor’s data. This research highlighted the problem of productivity loss resulting from issuance of a change order by utilizing a previously developed SD model. It conducted a sensitivity analysis to evaluate the impact of overtime, overmanning, temperature and learning on the behavior of the SD model quantifying change orders' impact on labor productivity. Based on the results, SD provides more reliable results comparing with the measured mile analysis (MMA) approach for the compensation request, considering the leading factors affecting the productivity loss other than the change order. The model developed in this study can accept or reject the responsibility of a change order for occurrence of productivity loss.

Investigating learning and diffusion strategies for sustainable mobility

2019 ◽  
Vol 9 (1) ◽  
pp. 1-16 ◽  
Author(s):  
George Papageorgiou ◽  
Gregoris Demetriou
Keyword(s):  
Learning Strategies ◽  
City Planning ◽  
Diffusion Processes ◽  
Scenario Planning ◽  
Computer Simulation Model ◽  
Motivation To Change ◽  
Sustainable Mobility ◽  
Content Type ◽  
And Diffusion ◽  
Sd Model

Purpose The purpose of this paper is to examine the concepts of learning and diffusion within the context of urban development and sustainable active mobility. A model is proposed, which treats learning as a diffusion process in a dynamic way, so that key strategies and their effects are investigated over time. Specifically, the question being examined is how learning and information technology strategies can change the mindset of people to be more physically active in their mobility around a city. This is carried out by developing a system dynamics (SD) computer simulation model, where learning strategies that promote walking can be tested prior to implementation. Design/methodology/approach Based on the specific key stages of knowledge, persuasion, decision, implementation and confirmation, the proposed SD model incorporates individual citizen and group level learning and diffusion processes in a unified integrated approach. The SD model gives a clear picture on how learning and changing mindsets occur in the context of a city, whereby we can explore the main drivers to learn new sustainability related habits. A case study is used to contextualize and demostrate the active mobility issue, in order to develop practical scenarios for promoting a walking mindset. This is done in order to demonstrate the capabilities of the model and show its practicality. Through the model we investigate the relationships among variables such as awareness, contact, communication and adoption and evaluate their impact on city policies to promote a walking mindset. Findings The developed SD model exhibits important dimensions, such as social learning, motivation to change behaviour and an analysis of the effects of plausible strategies for promoting sustainable active mobility. The authors have proven that through simulation experimentation, we can significantly accelerate the shaping and diffusion of a walking mindset, by influencing individual and community learning via the introduction of Information and Communication Technology in conjunction with an awareness campaign strategy. Research limitations/implications The diagrammatic representation and the quantification of the factors that contribute to active mobility give rise to better understanding of how policy makers could promote a walking culture in a city. The implications are that the proposed SD model could be used by city planning authorities as a framework for shaping mindsets towards active and sustainable mobility. Originality/value This paper contributes to the further understanding of learning, diffusion of new ideas and strategic planning within the city context. Through the proposed SD model, a number of strategies are formulated and tested using scenario planning, sensitivity analysis and optimization, in order to develop a walking mindset and an urban culture of sustainability.

scholarly journals ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Modeling complex problems with system dynamics: applications in animal agriculture1

2019 ◽  
Vol 97 (5) ◽  
pp. 1903-1920 ◽  
Author(s):  
Charles F Nicholson ◽  
Andre Rozemberg Peixoto Simões ◽  
Paul Andrew LaPierre ◽  
Michael E Van Amburgh
Keyword(s):  
System Dynamics ◽  
Food Systems ◽  
Methodological Approach ◽  
System Structure ◽  
Structural Development ◽  
Productivity Improvement ◽  
Dynamic Complexity ◽  
Country Level ◽  
Stock Flow ◽  
Sd Model

Abstract Many problematic outcomes in agricultural and food systems have important dynamic dimensions and arise due to underlying system structure. Thus, understanding the linkages between system structure and dynamic behavior often is important for the design and implementation of interventions to achieve sustained improvements. System dynamics (SD) modeling represents system structure using stock-flow-feedback structures expressed as systems of differential equations solved by numerical integration methods. System dynamics methods also encompass a broader methodological approach that emphasizes model structural development and data inputs to replicate one of a limited number of problematic behavioral modes, anticipates dynamic complexity, and focuses on feedback processes arising from endogenous system elements. This paper highlights the process of SD modeling using 2 examples from animal agriculture at different scales. A dynamic version of the Cornell Net Carbohydrate and Protein System (CNCPS) that represents outcomes for an individual dairy cow is formulated as an SD model illustrates the benefits of the SD approach in modeling rumen fill and animal performance. At a very different scale, an SD model of the Brazilian dairy supply chain (farms, processing, and consumers) illustrates the country-level impacts of efforts to improve cow productivity and how impacts differ if productivity improvement occurs on small farms rather than large farms. The paper concludes with recommendations about how to increase awareness and training in SD methods to enhance their appropriate use in research and instruction.

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