Browsing by Author "DEWI, Yuliani Setia"
Now showing items 1-15 of 15
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Analisis Biplot Untuk Mendeskripsikan Ciri-Ciri Kecamatan-Kecamatan Di Kabupaten Jember
DEWI, Yuliani Setia; A, Nonik (Majalah Ilmiah Matematika dan Statistika, 2015-09-15)This research aims to describe subdistricts’ characteristics in Jember districts based on society prosperity indicators by using biplot analysis. Biplot analysis is the method of analysis presenting position of n relative ... -
ANALISIS DISKRIMINAN UNTUK MELIHAT MISKLASIFIKASI MAHASISWA FMIPA ANGKATAN 1998/1999 UNIVERSITAS JEMBER
KUSUMAWATI, Ratna (2017-08-29)Penelitian ini bertujuan untuk membentuk sejumlah fungsi mclalui kombinasi linier peubah-peubah anal, yang dapat digunakan sebagai cara terbaik untuk memisahkan kelompok-kelompok mahasiswa, fungsi ini disebut fungsi ... -
Comparison of Arima Method and Artificial Neural Network Method to Predict Productivity Rice In Panti District
SETIAWAN, Fendi; DEWI, Yuliani Setia; FATEKUROHMAN, Mohamad (EDUSAMPUL JURNAL PENDIDIKAN, 2022-10-01)Produksi padi merupakan kegiatan masyarakat untuk menghasilkan beras, hal itu dimaksudkan untuk menjaga ketahanan pangan di masa yang akan datang. Tujuan dari penelitian ini adalah mengembangkan model terbaik dalam ... -
Comparison of Bivariate Negative Binomial Regression Models for Handling Over Dispersion.
DEWI, Yuliani Setia; PURNAMI, Santi Wulan; PURHADI, Purhadi; SUTIKNO, Sutikno (INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2017-03-16)Some methods have been proposed for dealing with extra Poisson variation when conducting regression analysis of count data. One of them is negative binomial regression model. For bivariate cases, there are some methods ... -
Comparison of Nelder Mead and BFGS Algorithms on Geographically Weighted Multivariate Negative Binomial
DEWI, Yuliani Setia; PURHADI, Purhadi; SUTIKNO, Sutikno; PURNAMI, Santi Wulan (International Journal on Advanced Science, Enginering, Information and Technology (IJASEIT), 2023-02-14)Geographically Weighted Negative Binomial Regression (GWNBR) was proposed related to univariate spatial count data with overdispersion using MLE via Newton Raphson algorithm. However, the Newton Raphson algorithm has the ... -
Comparison Of Support Vector Regression And Autoregressive Integrated Moving Average With Exogenous Variable On Indonesia Consumer Price Index
GHOFUR, Abd. Fattah Al; DEWI, Yuliani Setia; ANGGRAENI, Dian (SAR Journal, 2022-09-05)CPI is one of the most frequently used indicators to measure the inflation rate in a region. The government can maintain economic stability by knowing the CPI value in advance. Therefore, we need a suitable method to ... -
Covariance Based approach SEM with Bollen-Stine Estimation (Case Study Analysis of The Effect of Teacher and Principal Competence on Achievement of National Standards)
KASMURI, Kasmuri; TIRTA, I Made; DEWI, Yuliani Setia (Jurnal Ilmu Dasar, 2015-07-02)Applications of covariance Based SEM (CB-SEM) generally use the maximum likelihood, based upon the assumption on the normal distribution of data. One alternative that could be applied if the data were not normally ... -
Evaluation of geographically weighted multivariate negative Binomial method using multivariate spatial infant mortality data
PURHADI, Purhadi; SUTIKNO, Sutikno; PURNAMI, Santi Wulan; DEWI, Yuliani Setia (Journal of Physics: Conference Series, 2019-12-19)Global regression assumes that the relationships being measured are stationary over space or the model is applied equally over the whole region. If there is spatial heterogeneity on the data, then the global model is not ... -
HUBUNGAN MODEL CAMPURAN TERKENDALA EKSPLISIT DAN IMPLISIT
DEWI, Yuliani Setia (Majalah Ilmiah Matematika dan Statistika, 2017-03-10)In linear models with independent observations, parameter constraints are usually handled by transforming the explicitly constrained model to implicitly constrained model, that takes the form of reduced-parameter. In ... -
Hubungan Model Campuran Terkendala Eksplisit Dan Implisit
DEWI, Yuliani Setia (Majalah Ilmiah Matematika dan Statistika, 2017-03-10)In linear models with independent observations, parameter constraints are usually handled by transforming the explicitly constrained model to implicitly constrained model, that takes the form of reduced-parameter. In ... -
Model Kisi Bersyarat Bebas Untuk Menduga Peluang Sel Pada Tabel Kontingensi Tak Lengkap
DEWI, Yuliani Setia (Majalah Ilmiah Matematika dan Statistika, 2016-03-07)The problem of estimating cell probabilities from incomplete tables, that is when either the row or column variable missing for some of the subjects is very common. This article describes Lattice Conditional Independence ... -
Penerapan Metode Regresi Berstruktur Pohon Pada Pendugaan Lama Penyusunan Skripsi Mahasiswa
DEWI, Theresia Trias Candra; DEWI, Yuliani Setia; PRADJANINGSIH, Agustina (Majalah Ilmiah Matematika dan Statistika, 2017-03-10)The tree regression is one of the regresion methods that can be used to find out the influence of independent X variable to the dependent Y variable. The tree regression method analyzes data by doing step by step isolation. ... -
Peningkatan Status Sinta
WIJAYA, Kristiana; PRADJANINGSIH, Agustina; ANGGRAENI, Dian; HALIKIN, Ikhsanul; DEWI, Yuliani Setia; PURNOMO, Kosala Dwidja; UBAIDILLAH, Firdaus (Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember, 2022-12-05)Majalah Ilmiah Matematika dan Statistika (MIMS) merupakan majalah ilmiah yang diterbitkan oleh Jurusan Matematika FMIPA Universitas Jember sejak tahun 2001 dengan nomor ISSN: 1411-6669. MIMS terbit 2x setiap tahunnya, ... -
Statistical Downscaling Technique Using Response Based Unit Segmentation-Partial Least Square (REBUS-PLS) for Monthly Rainfall Forecasting
SALSABILA, Izdihar; HADI, Alfian Futuhul; TIRTA, I Made; DEWI, Yuliani Setia; UBAIDILLAH, Firdaus; ANGGRAENI, Dian (Atlantis Press, 2022-02-08)One of the newest forecasting techniques today is the Statistical Downscaling (SDs) technique. The SDs technique is a procedure for inferring high-resolution information from low-resolution variables. Forecasting rainfall ... -
Zero Inflated Poisson and Geographically Weighted Zero- Inflated Poisson Regression Model: Application to Elephantiasis (Filariasis) Counts Data
PURNAMI, Santi Wulan; SUTIKNO; PURHADI, Purhadi; DEWI, Yuliani Setia (Jurnal of Mathematics and Statistics., 2015-09-11)Poisson regression has been widely used for modeling counts data. Violation of equidispersion assumption can occur when there are excess of zeros of the data. For that condition we can use Zero-Inflated Poisson (ZIP) ...