PENGEMBANGAN ALAT PERAGA PEMELAJARAN MATEMATIKA KELAS III SD BERBASIS METODE MONTESSORI DI SD ISLAM ASSALAM CURUG KABUPATEN TANGERANG

PENGEMBANGAN ALAT PERAGA PEMBELAJARAN MATEMATIKA KELAS III SD BERBASIS METODE MONTESSORI DI SD ISLAM ASSALAM CURUG KABUPATEN TANGERANG Fita Nur Septiana1, Mawardi, S.Si., M.Pd2, Najib Hasan, M.Pd3 1Program Studi Pendidikan Guru Sekolah Dasar 1,2 Universitas Muhammadiyah Tangerang E-mail : [email protected](1) [email protected] (2) [email protected] (3) Abstract : the purpose of this study is to develop model multiplication boards based on montessori methods in math class III . The research USE addie's version of development models. The population in this study is 3rd graders a islamic elementary school assalam curug. The techniques in drawing samples in the study use the small group test of 10 students and the large group test of 16 students. The instruments used include interviews, angkets and pre-test questions. The results of this development study met the "worthy" criteria of a media expert of 4,3 with the "very worthy" criteria and the angket research of a 4,2 materials expert and met the "very worthy" criteria and met the "very worthy" criteria and met the "very worthy" criteria and met the criteria of a 3,9 sebersar scholar and met the "worthy" criteria. At a small scale test assessment involving 10 class III students results from a 4,4 presentation and large-scale trial results from 4,3 propelled, thus the "very good" criteria. "Worthy," practical and effective "for use in math class operations materials calculate multiplication to class 3 theme 2 subtheme. Keywords: ADDIE, multiplication board, math, Research and Development (R&D

Challenges of Coal Mining Regions and Municipalities in the Face of Energy Transition

The energy transition currently taking place in the mining regions of the European Union poses many challenges that need to be addressed with a view to 2030 and 2050, of which the reduction of greenhouse gas emissions is the key one. Initial results of the research project entitled “Models of a transition to a climate-neutral, circular economy for mining regions under transformation process”, which is developed in parallel with the transition of mining town Brzeszcze, are presented. The challenges, in the context of energy transition, for both the EU and local governments were identified on the basis of EU policies and the experience of the project team from the cooperation with the commune of Brzeszcze. A “research by design” method was used to develop model solutions. In the context of local challenges, there was a discussion of the Green Deal objectives and “greenery” as a tool for transformation and achieving well-being. It was concluded that a comparison of the tangible (mining and social infrastructure) and intangible (privileges) well-being provided by a “carbon-based” economy with the new “well-being” weights in favour of the new. This is reflected in the concerns of mine workers and the citizens as well. Therefore, proposing appropriate revitalization of a post-mining site will be one of the challenges. With regard to the revitalization, a discussion was held on the role of mining heritage which can trigger either a “growth machine” or a “decline machine” depending on the decisions taken, compatible or not with a circular economy.

DATA-DRIVEN DISCOVERY OF MATERIAL STATES IN COMPOSITES UNDER FATIGUE LOADS

Our community has a widespread knowledge on the damage tolerance and durability of the composites, developed over the past few decades by various experimental and computational efforts. Several methods have been used to understand the damage behavior and henceforth predict the material states such as residual strength (damage tolerance) and life (durability) of these material systems. Electrochemical Impedance Spectroscopy (EIS) and Broadband Dielectric Spectroscopy (BbDS) are such methods, which have been proven to identify the damage states in composites. Our previous work using BbDS method has proven to serve as precursor to identify the damage levels, indicating the beginning of end of life of the material. As a change in the material state variable is triggered by damage development, the rate of change of these states indicates the rate of damage interaction and can effectively predict impending failure. The Data-Driven Discovery of Models (D3M) [1] aims to develop model discovery systems, enabling users with domain knowledge but no data science background to create empirical models of real, complex processes. These D3M methods have been developed severely over the years in various applications and their implementation on real-time prediction for complex parameters such as material states in composites need to be trusted based on physics and domain knowledge. In this research work, we propose the use of data-driven methods combined with BbDS and progressive damage analysis to identify and hence predict material states in composites, subjected to fatigue loads.

POD-Based Model Order Reduction for Tire-Soil Interaction Simulations

The objective of this study is to develop model order reduction capabilities for high-fidelity off-road mobility simulations. The model reduction technique using the proper orthogonal decomposition (POD) is implemented at the level of the numerical solver in order to decrease the number of equations that need to be solved at each iteration of the solution procedure. The POD is, however, limited in that the modes are dependent on snapshot data collected during the running of a full order model (FOM), limiting the modes to being accurate only for the specific scenario from which they were collected. Due to this limitation, a method of mode adaptation through interpolation on a tangent space of the Grassmann manifold is investigated to allow modes to be predicted for cases in which a full order model has not been run. Modes produced for known values of a simulation parameter are used to predict the modes for a value of the simulation parameter for which POD modes have not been directly produced. For a single tire soil bin mobility model, the POD modes are found to be effective at retaining accuracy with minimal errors while also reducing computational time.

Sensing Hydration of Biomimetic Cell Membranes

Biological membranes play a vital role in cell functioning, providing structural integrity, controlling signal transduction, and controlling the transport of various chemical species. Owing to the complex nature of biomembranes, the self-assembly of lipids in aqueous media has been utilized to develop model systems mimicking the lipid bilayer structure, paving the way to elucidate the mechanisms underlying various biological processes, as well as to develop a number of biomedical and technical applications. The hydration properties of lipid bilayers are crucial for their activity in various cellular processes. Of particular interest is the local membrane dehydration, which occurs in membrane fusion events, including neurotransmission, fertilization, and viral entry. The lack of universal technique to evaluate the local hydration state of the membrane components hampers understanding of the molecular-level mechanisms of these processes. Here, we present a new approach to quantify the hydration state of lipid bilayers. It takes advantage of the change in the lateral diffusion of lipids that depends on the number of water molecules hydrating them. Using fluorescence recovery after photobleaching technique, we applied this approach to planar single and multicomponent supported lipid bilayers. The method enables the determination of the hydration level of a biomimetic membrane down to a few water molecules per lipid.

Közepes fejlettség, gazdasági szerkezet, termelékenység és az MKKV szektor = Middle level development, economic structure, productivity and the MSME sector

A cikk elemzi a közepes fejlettségi csapda és a közepes jövedelmi csapda közötti különbségeket. Rávilágít a fejlettség humán és társadalmi mutatói és a növekedési mutatók közötti elméleti és gyakorlati eltérésekre. Foglalkozik továbbá a termelékenység mérésének ellentmondásaival, különös tekintettel a gazdasági szerkezet termelékenységet befolyásoló szerepére. Érvel végül az MKKV szektor és a családi vállalkozások, mint a teljes értéklánc kiépítésére képes olyan gazdasági szereplők fontossága mellett, amelyek kulcsszerepet játszhatnak a közepes fejlettségi csapda elkerülésében és egy fenntartható versenyképes fejlődési modell megvalósításában. = The article analyzes the differences between the middle income and middle development trap concepts. It hightlights the theoretical and practical differences between the human and social indicators of development, and the growth indicators. Furthermore it discusses the contradictions of measuring productivity, with special focus on the effects of economic structures on productivity. Finally it argues for the importance of the micro, small and medium sized enterprises (MKKV) and family businesses, which are able to develop a complete value chain, and by doing so they can serve as a key economic force for avoiding middle development trap, and for implementing a sustainable, competitive develop model.

Modeling the Filling Rate of Faeces in Ordinary Pit Latrines

Faecal sludge deposited into the pit latrine is subject to biodegradation. The aim of this research was to develop model for the filling rate of faeces in ordinary pit latrine together with the effect of shape factor on such fillings to prepare the minds of users on the filling characteristics of the pit based on contents, usage and environmental factors. Consequently, faecal sludges sampled from 100 pits already filled were subjected to laboratory analyses for their physico-chemical and biological characteristics. Models for the actual filling rate of faeces in ordinary pit latrines were derived using BOD, COD, VS, and TS data, calibrated and verified. For a more critical situation, models were also derived for the filling rates considering pit shapes that gave the actual pit filling in comparison with the general condition. From the results, the actual filling rate was lower than those obtained using BOD, VS and TS. However, the COD gave filling rate closer to the actual filling rate than other parameters since TS could not be used to assess the filling rate of faeces in pit latrines. The pits exhibited low filling rate in terms of BOD in 2 pits. In terms of COD, the filling rate was higher compared with that of BOD. Low filling rate was observed with volatile solids and only 3 pits exhibited moderately high filling rates whereas total solids had the highest number of pits with high filling rates. The filling rates for both the square and rectangular pits increased by 26.5% from 40 – 90 ℓ/capita/year to 50 – 112 ℓ/capita/year due to the shape factor and this was above the values obtained in existing models while that of the circular pit remained the same. Reduction in pit volume and increase in filling rate by faeces was due to dead corners as a result of clogging, thereby reducing the area available for faecal infiltration into the surrounding soil. Circular pits are more stable because of the natural arching effect of the ground around the hole and there are no corners to concentrate the stresses. Pits with flat sides are much more likely to develop clogging resulting to dead corners than the circular pit. From this study, it is therefore evident that the shape of pit latrine determines the actual volume and the filling rate of faeces in pit latrine taking into consideration geological and environmental factors. Thus for optimal design, our engineers should take note of the pit shape factor. Thus, the model can be used to determine the filling rate of ordinary pit latrines considering soil characteristics, ground conditions and other favourable conditions.

Modeling the Filling Rate of Faeces in Ordinary Pit Latrines

Faecal sludge deposited into the pit latrine is subject to biodegradation. The aim of this research was to develop model for the filling rate of faeces in ordinary pit latrine together with the effect of shape factor on such fillings to prepare the minds of users on the filling characteristics of the pit based on contents, usage and environmental factors. Consequently, faecal sludges sampled from 100 pits already filled were subjected to laboratory analyses for their physico-chemical and biological characteristics. Models for the actual filling rate of faeces in ordinary pit latrines were derived using BOD, COD, VS, and TS data, calibrated and verified. For a more critical situation, models were also derived for the filling rates considering pit shapes that gave the actual pit filling in comparison with the general condition. From the results, the actual filling rate was lower than those obtained using BOD, VS and TS. However, the COD gave filling rate closer to the actual filling rate than other parameters since TS could not be used to assess the filling rate of faeces in pit latrines. The pits exhibited low filling rate in terms of BOD in 2 pits. In terms of COD, the filling rate was higher compared with that of BOD. Low filling rate was observed with volatile solids and only 3 pits exhibited moderately high filling rates whereas total solids had the highest number of pits with high filling rates. The filling rates for both the square and rectangular pits increased by 26.5% from 40 – 90 ℓ/capita/year to 50 – 112 ℓ/capita/year due to the shape factor and this was above the values obtained in existing models while that of the circular pit remained the same. Reduction in pit volume and increase in filling rate by faeces was due to dead corners as a result of clogging, thereby reducing the area available for faecal infiltration into the surrounding soil. Circular pits are more stable because of the natural arching effect of the ground around the hole and there are no corners to concentrate the stresses. Pits with flat sides are much more likely to develop clogging resulting to dead corners than the circular pit. From this study, it is therefore evident that the shape of pit latrine determines the actual volume and the filling rate of faeces in pit latrine taking into consideration geological and environmental factors. Thus for optimal design, our engineers should take note of the pit shape factor. Thus, the model can be used to determine the filling rate of ordinary pit latrines considering soil characteristics, ground conditions and other favourable conditions.

Corporate Boards, Audit Committees and Voluntary Disclosure: A Case Analysis on Bangladeshi Listed Companies

The study tries to find the interaction of corporate disclosure and governance within the organization, focused stakeholders, and shareholders representation with internal information in the board. The paper investigates seven governance variables as the willful release of information proxy concentrated on organizational structure and functioning. Multiple regression has been performed to identify the explanatory power of the variables. The results are very much similar and consistent with the understanding that both internal and external control exist simultaneously to affect the shareholders' control to restrict each other. The results suggest that the size of the board does not affect the external control of voluntary disclosure. This paper can help to exhibit the relationship between proper and transparent corporate governance and required disclosure to reduce agency conflicts. This paper focused on the existing companies listed in the stock exchanges to identify and develop model to improve the agency setting. The paper should be interesting for the regulators, stakeholders, and practitioners to construct consistent policies with calls for more disclosure requirements in this agency setting.