Makna Religi Novel Ketika Cinta Bertasbih Karya Habiburrahman El Shirazy: Analisis Semiotik Dan Aplikasinya Dalam Pembelajaran Sastra Di Madrasah Aliyah

Makna Religi Novel Ketika Cinta Bertasbih karya Habiburrahman El Shirazy: Analisis Semiotik dan Aplikasinya dalam Pembelajaran Sastra di Madrasah Aliyah. Tesis, Surakarta: Magister Pengkajian Bahasa Universitas Muhammadiyah Surakarta, November 2011. Pembimbing I Dr. Ali Imron Al Ma’ruf, M.Hum. Pembimbing II Drs. Yakub Nasucha, M. Hum. Tujuan dari penelitian ini adalah untuk mendeskripsikan dan menjelaskan arti religi yang terkandung dalam Novel Ketika Cinta Bertasbih karya Habiburrahman El Shirazy. Penelitian ini menggunakan pendekatan deskriptif kualitatif. Sumber data yang digunakan adalah Novel Ketika Cinta Bertasbih karya dari Habiburrahman El Shirazy. Teknik pengumpulan data yang digunakan adalah purposive sampling. Teknik analisis data yang digunakan adalah content analysis. Penelitian ini menggunakan pendekatan semiotik yang terdiri atas pembacaan heoristik dan hermeneuti k . Berdasarkan analisis data penelitian dapat disimpulkan novel Ketika Cinta Bertasbih karya Habiburrahman El Shirazy, memiliki struktur yang utuh, dan unsur yang satu berkaitan dengan yang lain. Adapun makna religius yang terkandung dalam Novel Ketika Cinta Bertasbih karya Habiburrahman El Shirazy berisi tentang (1) taubatan nasuha, ( 2 ) wajib berusaha, berdoa dan berserah diri, (3) kekuasaan dan kebesaran Tuhan, (4) Tuhan Maha Pengampun dan tempat mohon pertolongan, (5) kehidupan manusia di dunia tidak lepas dari ujian dan cobaan, (6) larangan berbuat kerusakan di muka bumi, (7) kewajiban manusia mencari nafkah, (8) cinta tanah air dan perjuangan, ( 9 ) kehidupan di dunia yang tidak kekal, (10 ) amal ibadah sebagai bekal menghadap Tuhan, ( 11 ) kewajiban menggunakan kesempatan untuk beribadah, ( 12 ) larangan takabur, (13) belajar seumur hidup

Robust Estimation of a Linearized Nonlinear Regression Model with Heteroscedastic Errors:A Simulation Study

A simulation study is used to examine the robustness of some estimators on a linearized nonlinear regression model with heteroscedastic errors, namely the Linearized Ordinary Least Squares (LOLS), Transformed Generalized Least Squares (TGLS) , Linearized Reweighted Least Squares (LRLS) and Transformed Linearized Reweighted Least Squares (TLRLS). The latter is a modification of Reweighted Least Squares (RLS) based on Least Median of Squares (LMS). The empirical evidence shows that the first three estimators are not sufficiently robust when the percentage of outliers in the data increases. That is, they do not have a high breakdown point. On the other hand, the modified estimator (TLRLS) has a higher breakdown point than the other three estimators

Friction of a slider on a granular layer: Non-monotonic thickness dependence and effect of boundary conditions

We investigate the effective friction encountered by a mass sliding on a granular layer as a function of bed thickness and boundary roughness conditions. The observed friction has minima for a small number of layers before it increases and saturates to a value which depends on the roughness of the sliding surface. We use an index-matched interstitial liquid to probe the internal motion of the grains with fluorescence imaging in a regime where the liquid has no significant effect on the measured friction. The shear profiles obtained as a function of depth show decrease in slip near the sliding surface as the layer thickness is increased. We propose that the friction depends on the degree of grain confinement relative to the sliding surfaces.Comment: 4 pages, 6 figure

A comparison between classical and robust method in a factorial design in the presence of outlier

Analysis of Variance (ANOVA) techniques which is based on classical Least Squares (LS) method requires several assumptions, such as normality, constant variances and independency. Those assumptions can be violated due to several causes, such as the presence of an outlying observation. There are many evident in literatures that the LS estimate is easily affected by outliers. To remedy this problem, a robust procedure that provides estimation, inference and testing that are not influenced by outlying observations is put forward. A well-known approach to handle dataset with outliers is the M-estimation. In this study, both classical and robust procedures are employed to data of a factorial experiment. The results signify that the classical method of least squares estimates instead of robust methods lead to misleading conclusion of the analysis in factorial designs

Robust multivariate control charts to detect small shifts in mean.

The classical multivariate CUSUM and EWMA charts are commonly used to detect small shifts in the mean vectors. It is now evident that those charts are easily affected by outliers which may be due to small or moderate changes in the mean vector. In this paper, we propose a robust multivariate CUSUM and Robust multivariate EWMA charts to remedy the problem of small changed in scatter outliers. Both the empirical and simulation results indicate that the proposed robust multivariate CUSUM and EWMA charts offer substantial improvement over other multivariate CUSUM and EWMA charts. This article also discussed the robustness of the proposed charts, when there is a small or moderate sustained shift in the data set

Standardized simple mediation model : a numerical example

Mediation models figure out how an effect occurred by hypothesizing a causal sequence. For a simple mediation model, a causal sequence is described in which an independent variable causes the mediator which sequentially causes the dependent variable. In this article, we tried to introduce to use standardized regression coefficient to the involving the simple mediation model since a standardized coefficient will be more meaningful than an unstandardized coefficients. In this article, we show that in simple mediation model, even though standardized regression coefficients are different from the unstandardized coefficients, but the standardized coefficients maintain the order of magnitude of the unstandardized regression coefficients for the simple mediation model

Estimating bias and RMSE of indirect effects using rescaled residual bootstrap in mediation analysis.

It is a common practice to estimate the parameters of mediation model by using the Ordinary Least Squares (OLS) method. The construction of T statistics and confidence interval estimates for making inferences on the parameters of a mediation model, particularly the indirect effect, is usually are based on the assumption that the estimates are normally distributed. Nonetheless, in practice many estimates are not normal and have a heavy tailed istribution which may be the results of having outliers in the data. An alternative approach is to use bootstrap method which does not rely on the normality assumption. In this paper, we proposed a new bootstrap procedure of indirect effect in mediation model which is resistant to outliers. The proposed approach was based on residual bootstrap which incorporated rescaled studentized residuals, namely the Rescaled Studentized Residual Bootstrap using Least Squares (ReSRB). The Monte Carlo simulations showed that the ReSRB is more efficient than some existing methods in the presence of outliers

A nonlinear regression model for chicken growth data

In this article we analyze the chicken growth data taken from chicken breeder in Marvdash in Fars Province of Iran. The chicken growth and the breeding data set can be presented as a nonlinear model with heteroscedastic errors. Six variance models are fitted to the growth data. The result of the study shows that among the six models that are considered, a variance power function model is the best fitted model for the chicken growth data

Hysteresis and competition between disorder and crystallization in sheared and vibrated granular flow

Experiments on spherical particles in a 3D Couette cell vibrated from below and sheared from above show a hysteretic freezing/melting transition. Under sufficient vibration a crystallized state is observed, which can be melted by sufficient shear. The critical line for this transition coincides with equal kinetic energies for vibration and shear. The force distribution is double-peaked in the crystalline state and single-peaked with an approximately exponential tail in the disordered state. A linear relation between pressure and volume ($dP/dV > 0$) exists for a continuum of partially and/or intermittently melted states over a range of parameters

Slow flows of yield stress fluids: complex spatio-temporal behaviour within a simple elasto-plastic model

A minimal athermal model for the flow of dense disordered materials is proposed, based on two generic ingredients: local plastic events occuring above a microscopic yield stress, and the non-local elastic release of the stress these events induce in the material. A complex spatio-temporal rheological behaviour results, with features in line with recent experimental observations. At low shear rates, macroscopic flow actually originates from collective correlated bursts of plastic events, taking place in dynamically generated fragile zones. The related correlation length diverges algebraically at small shear rates. In confined geometries bursts occur preferentially close to the walls yielding an intermittent form of flow localization.Comment: 4 pages, 4 figure