scholarly journals The Level of Audience Acceptance of Islamic Genre Films

2020 ◽  
Vol 9 (4) ◽  
pp. 212
Author(s):  
Rosmawati Mohamad Rasit ◽  
Azimah Misrom ◽  
Salasiah Hanin Hamjah
Keyword(s):  
Standard Deviation ◽  
Mean Value ◽  
Descriptive Statistics ◽  
Shopping Malls ◽  
Purposive Sampling ◽  
Klang Valley ◽  
Religious Elements ◽  
Genre Films ◽  
Valley Area ◽  
Survey Questionnaires

The potrayal of  religious elements in  Islamic genre films  have long been discussed  among filmmakers. However, the audience acceptance is unclear and still  at  an infancy stage as the purpose of a film as a form of entertainment is predominant, which is contrary to the teachings  of Islam. Thus, this study aimed to analyse the level of audience acceptance towards Islamic genre films. The design of this study was quantitative survey. Questionnaires were distributed to 500 respondents in five cinemas located in shopping malls in the Klang Valley area which were Alamanda, Mid Valley, The Mines, NU Central and KLCC. This study used purposive sampling, and  data were analysed  using descriptive statistics. The findings showed that the level of audience acceptance towards Islamic films is moderate with a mean value of 34.78 with a standard deviation of 4.38.

scholarly journals An Evaluation of Peace Building Strategies in Southwestern Nigeria: Quantitative and Qualitative Examples

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Kazeem Oyedele Lamidi
Keyword(s):  
Content Analysis ◽  
Standard Deviation ◽  
Quantitative Data ◽  
Qualitative Data ◽  
Group Discussion ◽  
Mean Value ◽  
Local Communities ◽  
Descriptive Statistics ◽  
Peace Building ◽  
Southwestern Nigeria

This paper evaluated the peace building architecture by United Nations using Southwestern Nigeria as a reference point. Quantitative data were generated from responses to the questionnaire. In addition, the qualitative data were gathered from two sources: interview response and theme coding of Focus Group Discussion. Data collected were analysed using frequency, percentage, mean value and standard deviation as well as content analysis methods. From the descriptive statistics, this paper found out that quick intervention, cross-examination, negotiation, and mediation of differences were evaluated to be the key building strategies adopted for the enhancement of peaceful co-existence in local communities within Southwestern Nigeria. In spite of those good remarks, poor nature of ethnic cooperation underlines the causal reason for incessant communal conflicts in Southwestern Nigeria. It therefore concluded that peace building strategies in Southwestern Nigeria were evidently operationalised with observable inconsistencies from the qualitative data.

scholarly journals Penerapan Model Pembelajaran Discovery untuk Meningkatkan Keterampilan Proses Sains dan Penguasaan Konsep IPA SMP

2019 ◽  
Vol 4 (1) ◽  
pp. 44
Author(s):  
Jurmila Jurmila ◽  
Hunaidah Hunaidah ◽  
Luh Sukariasih
Keyword(s):  
Standard Deviation ◽  
Teacher Learning ◽  
Science Learning ◽  
Mean Value ◽  
Research Data ◽  
Descriptive Statistics ◽  
Science Process Skills ◽  
Concept Mastery ◽  
The Mean ◽  
Academic Year

This study aims to describe the increase in students' mastery of concepts and KPS as well as the implementation of teacher learning in science learning class VIIID SMP Kartika XX-6 Kendari using the discovery model. This type of research is the PTK. The subjects in this study were all 26 students of the 2018/2019 academic year. The research data is concept mastery data obtained from tests and KPS obtained from observation sheets. The data were analyzed by using descriptive statistics. The results of data analysis showed that: 1) the mean value of concept mastery in the first cycle was 70.07 with a standard deviation of 9.34, while in the second cycle the mean value of concept mastery was 77.50 with a standard deviation of 5.55; 2) the percentage of aspects of science process skills in the first cycle was 50.55% in the sufficient category, while in the second cycle, 73.41% was in the good category; and 2) the mean value of the implementation of teacher learning in the first cycle was 2.8 and the second cycle was 3.57.

scholarly journals KEMAMPUAN MENGAPRESAISI PUISI DENGAN METODE HERMENEUTIK DALAM PENGUASAAN BAHASA FIGURATIF SISWA MAN 2 MATARAM TAHUN PELAJARAN 2018/2019

MABASAN ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 186-196
Author(s):  
Sukran Makmun ◽  
Rabiyatul Adawiyah
Keyword(s):  
Data Analysis ◽  
Standard Deviation ◽  
Quantitative Research ◽  
Figurative Language ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Purposive Sampling ◽  
Average Value ◽  
Academic Year

This research is aimed to determine the ability to appreciate poetry by hermeneutic methods in mastering figurative language of  students of MAN 2 Mataram in 2017/2018 academic year. This research is quantitative research. The data is collected by using observation and test. The research sample is students of grade X Mia consisting of 12 students of MAN 2 Mataram. Sample is selected by employing purposive sampling technique. Data analysis used is descriptive statistics. The result shows an average value of 76.25 with a standard deviation of  6.44, so that the ability to appreciate poetry with hermeneutic methods in mastering the figurative language of students Man 2 Mataram is high.   

scholarly journals Investment-Linked Takaful Plan Patronage: Evidence from Malaysia

2019 ◽  
Vol 7 (1) ◽  
pp. 041
Author(s):  
Tamiza Parveen ◽  
Siti Salwani Razali ◽  
Marhanum Che Mohd Salleh
Keyword(s):  
Descriptive Statistics ◽  
Product Selection ◽  
Correlation And Regression Analysis ◽  
Recent Innovation ◽  
Plan Selection ◽  
Klang Valley ◽  
Fee Payment ◽  
Self Administered Questionnaire ◽  
Valley Area ◽  
Area Data

Investment-linked Takaful is a recent innovation introduced in Malaysia. This study focuses on Investment-linked takaful plan selection in Malaysia. We have used a self-administered questionnaire to collect data from 143 respondents from the Klang Valley area. Data collected through the survey was analyzed through descriptive statistics, correlation and regression analysis. Results indicate that fee payment and benefits play a significant role in Takaful operator selection while coverage and benefits affect the investment-linked product selection in Malaysia. This study is unique as it provides empirical evidence on the investment-linked takaful investment which is limited in supply. Results provided by this study can be useful for takaful operators in designing the most appropriate investment-linked product for attracting customers.   

GAMBARAN BEBAN KERJA MENTAL PADA DOSEN FAKULTAS X UNIVERSITAS X

2019 ◽  
Vol 2 (3) ◽  
Author(s):  
Kartiani Dewi ◽  
Suryani S ◽  
Ahmad Yamin
Keyword(s):  
Community Service ◽  
Mental Workload ◽  
Sampling Technique ◽  
Mean Value ◽  
Descriptive Statistics ◽  
Large Contribution ◽  
Mean Dimension ◽  
The Mean ◽  
Quantitative Descriptive ◽  
University Lecturers

Lecturers are responsible for implementing the three main responsibilities in university (Tridharma Perguruan Tinggi) with 12 credits to 16 credits each semester. However, many lecturers feel that the workload is very excessive. The purpose of this study was to describe the mental workload of lecturers at the Faculty of X Padjadjaran University. The method of this research was quantitative descriptive by using a total sampling technique involving 43 lecturers. Data collection used NASA-TLX instruments. Data were analysed using descriptive statistics. The results of the study showed that overall the mental workload of the Faculty of X Padjadjaran University lecturers was included in the high category both in education and teaching assignments (74.4%), research assignments (76.7%), and community service assignments (74.4%). ) Effort dimensions have the highest mean value that is equal to 51.8, while the dimensions that have the lowest mean are Perfomance dimension, namely 9.4, where the greater the mean dimension shows the large contribution in the mental workload felt by the lecturer. The conclusions, this study show that most lecturers have a high mental workload. It is suggested that the lecturers need to have balance numbers of tasks according to their abilities, balance the time working with recreation, and meet the needs of rest. The results of this study need to be followed up by examining methods or efforts that can reduce the lecturers' mental workload.

scholarly journals Blood Oxygenation Level Dependent Magnetic Resonance Imaging (MRI), Dynamic Contrast Enhanced MRI and Diffusion Weighted MRI for Benign and Malignant Breast Cancer Discrimination: A Preliminary Experience

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2421
Author(s):  
Roberta Fusco ◽  
Vincenza Granata ◽  
Mauro Mattace Raso ◽  
Paolo Vallone ◽  
Alessandro Pasquale De Rosa ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Univariate Analysis ◽  
Mean Value ◽  
Blood Oxygenation ◽  
Breast Lesions ◽  
Dce Mri ◽  
Malignant Lesions ◽  
The Mean ◽  
And Diffusion ◽  
Skewness And Kurtosis

Purpose. To combine blood oxygenation level dependent magnetic resonance imaging (BOLD-MRI), dynamic contrast enhanced MRI (DCE-MRI), and diffusion weighted MRI (DW-MRI) in differentiation of benign and malignant breast lesions. Methods. Thirty-seven breast lesions (11 benign and 21 malignant lesions) pathologically proven were included in this retrospective preliminary study. Pharmaco-kinetic parameters including Ktrans, kep, ve, and vp were extracted by DCE-MRI; BOLD parameters were estimated by basal signal S0 and the relaxation rate R2*; and diffusion and perfusion parameters were derived by DW-MRI (pseudo-diffusion coefficient (Dp), perfusion fraction (fp), and tissue diffusivity (Dt)). The correlation coefficient, Wilcoxon-Mann-Whitney U-test, and receiver operating characteristic (ROC) analysis were calculated and area under the ROC curve (AUC) was obtained. Moreover, pattern recognition approaches (linear discrimination analysis and decision tree) with balancing technique and leave one out cross validation approach were considered. Results. R2* and D had a significant negative correlation (−0.57). The mean value, standard deviation, Skewness and Kurtosis values of R2* did not show a statistical significance between benign and malignant lesions (p > 0.05) confirmed by the ‘poor’ diagnostic value of ROC analysis. For DW-MRI derived parameters, the univariate analysis, standard deviation of D, Skewness and Kurtosis values of D* had a significant result to discriminate benign and malignant lesions and the best result at the univariate analysis in the discrimination of benign and malignant lesions was obtained by the Skewness of D* with an AUC of 82.9% (p-value = 0.02). Significant results for the mean value of Ktrans, mean value, standard deviation value and Skewness of kep, mean value, Skewness and Kurtosis of ve were obtained and the best AUC among DCE-MRI extracted parameters was reached by the mean value of kep and was equal to 80.0%. The best diagnostic performance in the discrimination of benign and malignant lesions was obtained at the multivariate analysis considering the DCE-MRI parameters alone with an AUC = 0.91 when the balancing technique was considered. Conclusions. Our results suggest that the combined use of DCE-MRI, DW-MRI and/or BOLD-MRI does not provide a dramatic improvement compared to the use of DCE-MRI features alone, in the classification of breast lesions. However, an interesting result was the negative correlation between R2* and D.

Rigorous time-domain analysis of statistically oriented graphene sheet fluctuations

2017 ◽  
Vol 36 (5) ◽  
pp. 1351-1363 ◽  
Author(s):  
Athanasios N. Papadimopoulos ◽  
Stamatios A. Amanatiadis ◽  
Nikolaos V. Kantartzis ◽  
Theodoros T. Zygiridis ◽  
Theodoros D. Tsiboukis
Keyword(s):  
Monte Carlo ◽  
Standard Deviation ◽  
Finite Difference ◽  
Surface Waves ◽  
Time Domain ◽  
Finite Difference Time Domain ◽  
Mean Value ◽  
Content Type ◽  
The Mean ◽  
Difference Time

Purpose Important statistical variations are likely to appear in the propagation of surface plasmon polariton waves atop the surface of graphene sheets, degrading the expected performance of real-life THz applications. This paper aims to introduce an efficient numerical algorithm that is able to accurately and rapidly predict the influence of material-based uncertainties for diverse graphene configurations. Design/methodology/approach Initially, the surface conductivity of graphene is described at the far infrared spectrum and the uncertainties of its main parameters, namely, the chemical potential and the relaxation time, on the propagation properties of the surface waves are investigated, unveiling a considerable impact. Furthermore, the demanding two-dimensional material is numerically modeled as a surface boundary through a frequency-dependent finite-difference time-domain scheme, while a robust stochastic realization is accordingly developed. Findings The mean value and standard deviation of the propagating surface waves are extracted through a single-pass simulation in contrast to the laborious Monte Carlo technique, proving the accomplished high efficiency. Moreover, numerical results, including graphene’s surface current density and electric field distribution, indicate the notable precision, stability and convergence of the new graphene-based stochastic time-domain method in terms of the mean value and the order of magnitude of the standard deviation. Originality/value The combined uncertainties of the main parameters in graphene layers are modeled through a high-performance stochastic numerical algorithm, based on the finite-difference time-domain method. The significant accuracy of the numerical results, compared to the cumbersome Monte Carlo analysis, renders the featured technique a flexible computational tool that is able to enhance the design of graphene THz devices due to the uncertainty prediction.

scholarly journals An image dehazing algorithm based on double priors constraint

2018 ◽  
Vol 189 ◽  
pp. 04009
Author(s):  
Kun Liu ◽  
Shiping Wang ◽  
Linyuan He ◽  
Duyan Bi ◽  
Shan Gao
Keyword(s):  
Standard Deviation ◽  
Mean Value ◽  
Experimental Results ◽  
Dark Channel Prior ◽  
Image Dehazing ◽  
Color Distortion ◽  
Local Media ◽  
Dark Channel

Aiming at the color distortion of the restored image in the sky region, we propose an image dehazing algorithm based on double priors constraint. Firstly, we divided the haze image into sky and non-sky regions. Then the Color-lines prior and dark channel prior are used for estimating the transmission of sky and non-sky regions respectively. After introducing color-lines prior to correct sky regions restored by the dark channel prior, we get an accurate transmission. Finally, the local media mean value and standard deviation are used to refine the transmission to obtain the dehazing image. Experimental results show that the algorithm has obvious advantages in the recovery of the sky area.

scholarly journals A typology of personal factor attributes among shoppers

2014 ◽  
Vol 18 (4) ◽  
pp. 394-412 ◽  
Author(s):  
Yue Teng Wong ◽  
Syuhaily Osman ◽  
Aini Said ◽  
Laily Paim
Keyword(s):  
Hierarchical Cluster ◽  
Measurement Model ◽  
Shopping Behavior ◽  
Personal Factors ◽  
Shopping Malls ◽  
Personal Factor ◽  
Content Type ◽  
Practical Applications ◽  
Confirmatory Factor ◽  
Klang Valley

Purpose – The purpose of this paper is to derive a comprehensive model with integrated dimensions of trait constructs to understand the shoppers’ dispositional traits in consumption. This study endeavors to gain empirical validation of a motivational network of shoppers’ traits in consumption as well as to ascertain different shoppers’ typology from the configurations of personal factor attributes. Design/methodology/approach – Store-intercept method was used to collect data from a sample of 600 apparel adult shoppers at five shopping malls in Klang Valley, Malaysia. The factor structure of personal factors was achieved using confirmatory factory analysis. The hierarchical and non-hierarchical cluster analysis was employed to develop the shoppers’ typology. Findings – A relatively good fit in confirmatory factor analysis validates the applicability of the conceptualized personal factor attributes measurement model. The constitution of personal factor attributes results in three shoppers typology of Confident, Enthusiastic Shoppers; Moderate, Pragmatic Shoppers and Self-Confined, Apathetic Shoppers. Practical implications – The study provides an understanding of the personal attribute factors and disseminates insightful information about profile of shoppers’ typology. Accordingly, the implementation of the strategy which involving the personality and psychological desires of the consumers, is now possible. Originality/value – This paper stipulates new insights to discern other dimensions in personality traits to examine the personal factor attributes, by considering the elemental traits, compound traits, situational traits and surface traits in a holistic manner. The findings of this study advance the knowledge on personal factor attributes that shape shopping behavior along with practical applications.

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