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All Journal HAYATI Journal of Biosciences Jurnal Ilmu Dasar Statistika BERKALA SAINSTEK CAUCHY: Jurnal Matematika Murni dan Aplikasi Kreano, Jurnal Matematika Kreatif-Inovatif Prosiding Seminar Matematika dan Pendidikan Matematik AJIE (Asian Journal of Innovation and Entrepreneurship) UNEJ e-Proceeding Martabe : Jurnal Pengabdian Kepada Masyarakat Mathvision : Jurnal Matematika Abdimas Universal JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) International Journal of Quantitative Research and Modeling Jurnal Hasil Pengabdian Kepada Masyarakat Universitas Jember Indonesian Journal of Statistics and Its Applications
Alfian Futuhul Hadi
Departement Of Mathematics, Faculty Of Mathematics And Natural Science, University Of Jember, Jember, 68121, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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Journal : UNEJ e-Proceeding

 1 
Analysis of Simultaneous Equation Model (SEM) on Non normally Response used the Method of Reduce Rank Vector Generalized Linear Models (RR-VGLM) Miftahul Ulum; Alfian Futuhul Hadi; Dian Anggraeni
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Multivariate linear regression is a statistical analysis methods used to data in the case of multiple response variables associated with several predictor variables. In this method of analysis there is an assumption of matrix coefficient regression must be full rank. In the case of simultaneous equations, full rank condition is not fulfilled. Consequently, to analyze that case is not possible because it would produce a regression coefficient that is very large so needed reduction in rank. Reduce Rank Regression (RRR) Method is an alternative method in the case where this method if there is a weak regression coefficients will be cut. However, Reduced rank regression method only applies in response which continuous and normal in econometric data analysis and others. Therefore, to overcome that problem so introduced to f analysis method of Reduce Rank Vector Generalized Linear Model (RR-VGLM). This article will discuss simultaneous equations with non-normal variable response using RR-VGLM by simulating non normal conditions.
Handling Outlier In The Two Ways Table By Using Robust Ammi And Robust Factor Kurnia Ahadiyah; Alfian Futuhul Hadi; Dian Anggraeni
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Robust Regression is a regression methods were used to analyze the data that contains some outliers. This regression is a statistical model were easy to influenced to small changes in the data. This method is often used for data analysis on additive model. In a modeling of two ways table, it has been known AMMI (Additive Main and Multiplicative Interaction) which can be used to analyze the stability of genotypes at several different environments by combining the additive model of main effect and multiplicative model of interaction. AMMI models used for data with normally distribution. AMMI models will against the same problem if there are outliers in two ways table. Because of that problem, it is necessary a robust method in decompotition of interaction matrix including robust SVD and Robust PCA. This study analyzed data on two-way tables that contain contain outliers by using approach of robust SVD and approach of robust PCA. The results of this study on both methods will be compared the goodness of model through the comparison of biplot of each model.
Application Cluster Analysis on Time Series Modelling with Spatial Correlations for Rainfall Data in Jember Regency Ira Yudistira; Alfian Futuhul Hadi; Dian Anggraeni; Budi Lestari
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Forecasting is a statistical analysis to obtain an overview the development of event in the future. Forecasting performed on time series data, is a series of data observation data that affected by previous data. In addition, time series data is also affected by the location of research, it is called spatial correlations. This correlation can be analyzed by cluster analysis method. Cluster analysis aims to group objects based on similar characteristics. Variability of rainfall in Jember Regency depends on time and space so that there is a spatial correlation. Cluster analysis is expected to form groups that optimal in the data so that the forecasting results more optimal. Selection of the best forecasting models in this study is determined by the smallest RMSE value.
Co-Authors A. A. Mattjik Abduh Riski Achmad Budi Susetyo Anak Agung Gede Sugianthara Awalin, Qonita Ilmi Budi Lestari D. Dafik Dian Anggraeni Dian Anggraeni Dian Anggraeni Dian Anggraeni Dian Anggraeni Dian Anggraeni Fatmala, Siti Febriana Fauziyah, Mailulah Ely Forestryani, Veniola Frida Murtinasari, Frida Halimatus Sa'diyah Halimatus Sa'diyah Halimatus Sa’diyah Herry Purnomo, Bambang Hidayat, Muhammad Jamil Hobri I Made Sumertajaya I Made Tirta Ika Hesti Agustin, Ika Hesti Ira Yudistira Kosala Dwidja Purnomo Kurnia Ahadiyah M Dika saputra Madinda, Diah Putri Miftahul Ulum Mohamad Fatekurohman Muhammad Iqbal Yunan Helmi Muharom, Lutfi Ali Nasrul Ilminnafik Nurul Fittriyah, Nurul Paramitha, Luckyta Citra Ayu Prayogo, Rizky Rio Pradani Putra Rory Ronella Agustin Rusdiana, Riza Yuli Sa’diyah, Halimatus Sudarko Sudarko Sunder, R. Syamsul Arifin Tresnawanti, Dini Wibisono, Dwi Anugrah Yuliani Setia Dewi