Paket Program, Indeks Prestasi Kumulatif, Umur dan Domisili sebagai Faktor Pembeda Prestasi Akademik Mahasiswa

One measure of success in teaching and learning in tertiary institutions is academic achievement. Through student academic achievement, it will increase the enthusiasm of prospective students in determining the tertiary institution of their choice. This research is aimed to determine the differentiating factors of student academic achievement, with the independent variables, namely Program Package, Grade Point Average (GPA), Age and Domicile. The research conducted included classifying students into two groups based on student academic achievement, so the analysis method used was Discriminant Analysis. The results revealed that the differentiating variables between groups consisted of (1) Grade Point Average and (2) Age. The results of data processing from the Enter / Removed Variables, it is known that the Grade Point Average (GPA) variable can be included in the discriminant equation formation process, while the Program Package, Age, and Domicile variables cannot be included in the discriminant equation formation. Eigenvalues test results, obtained a Canonical Correlation value of 0.852 so that the Square Canonical Correlation (CR2) = (0.852) 2 = 0.7259, it can be concluded that the Student Academic Achievement Variable can be explained by the Variable Program Package, Student Achievement Index (GPA), Age and domicile of 72.59%. The results of the validation state that the level of accuracy is> 50% so that the discriminant function is considered appropriate in classifying students.

Nuclear Data Uncertainty Propagation in Complex Fusion Geometries

The ASUSD program package was designed to automate and simplify the process of deterministic nuclear data sensitivity and uncertainty quantification. The program package couples Denovo, a discrete ordinate 3D transport solver, as part of ADVANTG and SUSD3D, a deterministic first order perturbation theory based Sensitivity/Uncertainty code, using several auxiliary programs used for input data preparation and post processing. Because of the automation employed in ASUSD, it is useful for Sensitivity/Uncertainty analysis of complex fusion geometries. In this paper, ASUSD was used to quantify uncertainties in the JET KN2 irradiation position. The results were compared to previously obtained probabilistic-based uncertainties determined using TALYS-based random nuclear data samples and MCNP in a Total Monte Carlo computation scheme. Results of the two approaches, deterministic and probabilistic, to nuclear data uncertainty propagation are compared and discussed. ASUSD was also used to perform preliminary Sensitivity/Uncertainty (S/U) analyses of three JET3-NEXP streaming benchmark experimental positions (A1, A4 and A7).

ANALISIS PENDAPATAN TENAGA KERJA USAHA AYAM POTONG TERHADAP KESEJAHTERAAN MASYARAKAT DI KABUPATEN BIREUEN

The purpose of this study is to look the effect of labor income of conducted in Bireuen District. The data used in this study are primary data sourced from 63 respondents. The data analysis method used in this study is a simple linear regression with the help of the eviews 10 program package. The results showed that the variable of labor income affects welfare and the magnitude of the effect of variable labor income on welfare by 0.0585 (5.85%). Recommendations, it is hoped that the local government will socialize the importance of the broiler business carried out in Bireuen Regency for the welfare of the community.

Stairway Plot 2: demographic history inference with folded SNP frequency spectra

Inferring the demographic histories of populations has wide applications in population, ecological, and conservation genomics. We present Stairway Plot 2, a cross-platform program package for this task using SNP frequency spectra. It is based on a nonparametric method with the capability of handling folded SNP frequency spectra (that is, when the ancestral alleles of the SNPs are unknown) of thousands of samples produced with genotyping-by-sequencing technologies; therefore, it is particularly suitable for nonmodel organisms.