Using Concept Mapping to Build Concept the Competence of School Principals

More and more the competence concept of school principals have an impact on two conditions, namely: (1) to develop the concept can complement and support each other; and (2) to develop the concept of possible contradict, giving rise to different interpretations. Therefore, this becomes the main issue researchers to identify the competence concept of school principals with adaptation of Jackson-Trochim method that is capable of illustrating the concept of competencies. Results of adaptation Jackson-Trochim method that school principals should have three types of competencies to lead the school effectively and efficiently. Kind of competencies are such as school leadership, instructional leadership, and operational leadership. Based on these results, the adaptationof Jackson-Trochim method to build the competence concept of school principals suggests this concept obtained may serve as a reference for school principals continue to build competencies in the futur

Mobility-Dependence of the Critical Density in Two-Dimensional Systems: An Empirical Relation

For five different electron and hole systems in two dimensions (Si MOSFET's, p-GaAs, p-SiGe, n-GaAs and n-AlAs), the critical density, $n_c$ that marks the onset of strong localization is shown to be a single power-law function of the scattering rate $1/\tau$ deduced from the maximum mobility. The resulting curve defines the boundary separating a localized phase from a phase that exhibits metallic behavior. The critical density $n_c \to 0$ in the limit of infinite mobility.Comment: 2 pages, 1 figur

Economic and environmental life cycle perspectives on two engineered wood products: Comparison of LVL and GLT construction materials

The embodied carbon of building materials and the energy consumed during construction have a significant impact on the environmental credentials of buildings. The structural systems of a building present opportunities to reduce environmental emissions and energy. In this regard, mass timber materials have considerable potential as sustainable materials over other alternatives such as steel and concrete. The aim of this investigation was to compare the environment impact, energy consumption, and life cycle cost (LCC) of different wood-based materials in identical single-story residential buildings. The materials compared are laminated veneer lumber (LVL) and glued laminated timber (GLT). GLT has less global warming potential (GWP), ozone layer depletion (OLD), and land use (LU), respectively, by 29%, 37%, and 35% than LVL. Conversely, LVL generally has lower terrestrial acidification potential (TAP), human toxicity potential (HTP), and fossil depletion potential (FDP), respectively, by 30%, 17%, and 27%. The comparative outcomes revealed that using LVL reduces embodied energy by 41%. To identify which of these materials is the best alternative, various environmental categories, embodied energy, and cost criteria require further analysis. Therefore, the multi-criteria decision-making (MCDM) method has been applied to enable robust decision-making. The outcome showed that LVL manufacturing using softwood presents the most sustainable choice. These research findings contribute to the body of knowledge about the use of mass timber in construction

Perbandingan Metode Regresi Logistik Biner Dan Metode Backpropagation Dalam Menentukan Model Terbaik Untuk Klasifikasi Pengguna Program Keluarga Berencana

Indonesia is one of the highest population density in the world has high birth level. One of the regulation to get the population density lower than before that is used by Government is Family Planning Program. On the reality, not all of the productive age join this program. The method is Binary Logistic Regression and Backpropagation. The predictor variables that is researched are husband's age, wife's age, age of the last child, count of children, husband's education, wife's education, husband's job, wife's job and the level of family prosperity. The aim of the research is to compare the classification accuracy between Binary Logistic Regression and Backpropagation. The result of the research by binary logistic regression method, shows the variables that affect the status of KB user is age of the last child and wife's education with the classification accuracy are 66.98%, and the classification accuracy of Backpropagation are 67,30%. The conclution based on the research that is the Backpropagation is better than Binary Logistic Regression when classification the status of KB user in Semarang on March 2013 until Januari 2014

Implementation of Single Minutes of Exchange Die (SMED) in Malaysia Metal Stamping Industry: A Case Study

Downtime loss due to long set-up time will lead to shorter actual production time. This situation will result in a loss to the company because they could not produce their products as planned. Therefore, set-up time needs to be reduced to maximize the resources invested by the company. The most popular approach to is an approach to improve setup time is Single Minutes of Exchange Die (SMED), developed by Shigeo Shingo in early 1960s. Setup operations were divided by into fundamental types; Internal setup and External setup. By Converting Internal setup to External setup, the company can reduced the setup time and thus, lead to longer actual production time. This paper presents an afford of a Malaysia’s metal stamping company in implementing SMED in their company. The company is a supplier of passenger car’s components to Malaysia’s major car makers. The implementation was carried out by separating Internal and External Setup, converting Internal to External Setup and finally streamlining all aspects of the setup operation. After implemented SMED approach, the company managed to reduce their set-up time from 32 minutes to 12 minutes. However, the company still working hard to achieve the objective of SMED, which is to complete all changeovers are in a single number of minutes or less than 10 minutes

Analisis Faktor-faktor Yang Mempengaruhi Laju Pertumbuhan Penduduk Kota Semarang Tahun 2011 Menggunakan Geographically Weighted Logistic Regression

Geographically Weighted Logistic Regression (GWLR) is a local form of logistic regression where geographical factors considered and it is assumed that the Bernoulli distribution of data used to analyze spatial data from non-stationary processes. This research will determine the factors that affect the Population Growth Rate (PGR) in the Semarang city using logistic regression and GWLR with a weighting function of bisquare kernel and gaussian kernel. The result showed that GWLR model with a weighting function of bisquare kernel better than logistic regression model and GWLR model with a weighting function of gaussian kernel because it has the smallest AIC value and classification accuracy is 87,5%. Factor that have significant effect is the number of couples of childbearing age in the Semarang city

Analisis Inflasi Kota Semarang Menggunakan Metode Regresi Non Parametrik B-spline

Inflation is an important consideration for investors to invest in an area. An accurate prediction of inflation is required for investors in conducting a careful planning. One of the method to find the predicted value of inflation is by using B-Spline regression, a nonparametric regression which is not depend on certain assumptions, thus providing greater flexibility. The optimal B-Spline models rely on the optimal knots that has a minimum Generalized Cross Validation (GCV). By using Semarang year-on-year inflation data from January 2008 - August 2013, the optimal B-spline models in this study are on the order of 2 ( linear ) with 2 knots, that is 5,99 and 6,09. Prediction of Semarang inflation in 2014 fluctuated around the number five and six and inflation in the end of 2014 is 6,286394%