Azwar Habibi
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PERBEDAAN PENGGUNAAN SOFTWARE STATISTIKA MINITAB, SPSS, SAS DAN OSS STATISTIKA–R DALAM PEMBELAJARAN METODE ANALISIS REGRESI BERGANDA DENGAN PEMILIHAN MODEL TERBAIK MENGGUNAKAN METODE STEPWISE Azwar Habibi
Jurnal Educazione : Jurnal Pendidikan, Pembelajaran dan Bimbingan dan konseling Vol. 1 No. 1 (2013): November
Publisher : FKIP Universitas Islam Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (156.722 KB) | DOI: 10.0034/edu.v1i1.60

Abstract

Regression analysis is a statistical analysis that aims to model the relationship between independent variables with the dependent variable. In the regression analysis is one method often used to select the best regression model of stepwise regression method. The purpose of this paper is to apply the best selection of regression models with stepwise method to compare data HBAT and stepwise regression method with the program package Minitab, SPSS, SAS and R. Thus, it can be concluded in principle can be shown to the interpretation of multiple linear regression analysis with selection of the best models using the Stepwise method using MINITAB statistical package, SPSS, SAS and R. Thus, to produce the best model . However, the advan tages and deficiency obtained the statistical package suitable for Stepwise regression analysis was SPSS and MINITAB, because this package is specially designed for the social sector in appropriate regression analysis. Because its use is more easily done because the menu based. SAS package is the most comprehensive software suitable for all types of existing analytical methods in statistics, but its use is very difficult because the command line rather than the menu based. While for interpretation using the R package output information in Stepwise regression analysis is easy and is complete so that it can be used in Stepwise regression analysis. Thus, the authors suggested using R packages in Stepwise regression analysis even more is the command line, but, in its use for the stepwise regression analysis commands are easy to do and produce output that is easy to understand.Keywords: Regression Analysis, Stepwise Regression Method, Minitab, R, SAS, SPSS.
Kajian Algoritma Fuzzy c-shell cluster Dalam Analisis Fuzzy Clustering Menggunakan Optimasi Pengganda Lagrange Azwar Habibi
Jurnal Educazione : Jurnal Pendidikan, Pembelajaran dan Bimbingan dan konseling Vol. 2 No. 1 (2014): Mei
Publisher : FKIP Universitas Islam Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (197.347 KB) | DOI: 10.0034/edu.v2i1.69

Abstract

In the group analysis (cluster analysis), there are several methods that have been developed, new methods which are much in demand is fuzzy clustering, fuzzy clustering in its development has been developed in a number of methods (algorithms) one of which is a method of fuzzy c-shell cluster .One method for algorithm to optimize the fuzzy c-shell clusters by using lagrange multipliers by means mendiferensialisasi the meter is in the fuzzy c-shell algorithm clusters. The main problem in the fuzzy c-shell algorithm clusters that determine the optimal parameter of the existing algorithms on the fuzzy c-shell cluster. This paper examines the methods of fuzzy c-shell clusters using lagrange multipliers in mathematics. The results showed that using lagrange multipliers obtained optimizationparameters by minimizing the objective functionlagrange multiplier function obtained using the optimum conditions for the parameters uik , vi  and ri as obtained in the above equation is: Keywords: cluster analysis, fuzzy clustering, fuzzy c-shell clusters, the lagrange multiplier.
Aktualisasi Pengabdian Kepada Masyarakat Dalam Melaksakan Pencegahan Covid-19 Di Desa Sambimulyo Azwar Habibi
NUSANTARA Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 3 (2023): Agustus : Jurnal Pengabdian kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v3i3.1391

Abstract

Covid-19 hit many countries in the world including Indonesia. The Covid-19 outbreak is not only a national problem within a country, but is already a global problem. Covid-19 originated in the Wuhan area of ​​China. The spread of Covid -19, which is so fast and deadly, is transmitted through physical contact through the mouth, eyes and nose. The spread of Covid-19 is out of control, the government invites the public to participate in keeping the spread from spreading by limiting social or physical contact. Community participation is the main key to success in preventing the spread of the Covid-19 outbreak. Social distancing and physical distancing are implemented to cut the chain of spread of the virus.Some people have consciously followed this social restriction mechanism, but some have not participated. This paper examines community participation in preventing the spread of the Covid-19 pandemic in Indonesia. Handling the spread of this virus can be carried out well if the community participates in following the government's advice to always maintain a safe distance from one another, one of which is to stay at home. Covid-19 is an epidemic virus and has the potential for a public health emergency. In the Bangorejo sub-district itself, the government and various local community institutions in dealing with this epidemic have implemented several programs and policies to minimize and prevent the Covid-19 outbreak, but in reality some people do not heed the appeals and directions from the government or social institutions.