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All Journal Jurnal Matematika Jurnal Lembaga Penelitian Universitas Mataram EIGEN MATHEMATICS JOURNAL Jurnal Gema Ngabdi Jurnal Varian Prosiding Konferensi Nasional PKM-CSR Journal of Pharmaceutical (JOP)
Desy Komalasari
Fakultas MIPA Universitas Mataram
Agriculture, Biological Sciences & Forestry Humanities Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Matematika

 1 
Model Regresi Zero Inflated Poisson Pada Data Overdispersion Wirajaya Kusuma; Desy Komalasari; Mustika Hadijati
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be used to overcome problems due to excess zeros. The purpose of this research is to estimate the regression parameters model Zero -inflated Poisson (ZIP) and applying to the data of unsuccessful students in national examinations in senior high school and vocational school in the city of Mataram. Parameter estimation Zero inflated Poisson regression model using the maximum likelihood and maximization expectation algorithm with Newton Rhapson approach.
Model Regresi Zero Inflated Poisson Pada Data Overdispersion Wirajaya Kusuma; Desy Komalasari; Mustika Hadijati
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2013.v03.i02.p37

Abstract

Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be used to overcome problems due to excess zeros. The purpose of this research is to estimate the regression parameters model Zero -inflated Poisson (ZIP) and applying to the data of unsuccessful students in national examinations in senior high school and vocational school in the city of Mataram. Parameter estimation Zero inflated Poisson regression model using the maximum likelihood and maximization expectation algorithm with Newton Rhapson approach. Zero inflated Poisson regression model obtained on the data is: dan With  is school accreditation; and  is the proportion of teachers who are already certified
Rotasi Varimax dan Median Hirarki Cluster Pada Program Raskin di Kabupaten Lombok Barat Desy Komalasari
Jurnal Matematika Vol 5 No 1 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2015.v05.i01.p55

Abstract

The granting rice program for poor households (Raskin) is one of the West Lombok regency government programs for village poverty. The effectiveness of the program relating to 14 criteria for the poor households Raskin recipients (RTS-PM). The 14 criteria have been grouped into several factors using varimax rotation factor analysis, while the RTS-PM have been grouped using hierarchical median cluster analysis. Four factors obtained based on the analysis. First factor was the house existence, the second factor was the financial ability, the third factor was the house existing facilities, and the four factor was the education of the household head and the purchasing power of clothing. The clustering results using hierarchical median cluster analysis formed 3 clusters. The first cluster contains the RTS-PM which have been grouped into first factor; the second cluster contains the RTS-PM which have been grouped into second and third factor; and the third cluster contains the RTS-PM which have been grouped into fourth factor.
Transformasi Biplot Simetri Pada Pemetaan Karakteristik Kemiskinan Desy Komalasari; Mustika Hadijati; Marwan .
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this research is to provide the new innovations on mapping of poverty characteristics in West Nusa Tenggara Province using Biplot analysis. The analysis based on matrix transformation, singular value decomposition, and matrix factorization. In this research we construct two kind of matrix transformation, that are average transformation and standarization transformation. The result of this research is symmetry Biplot, which maps the regency and  poverty characteristics simultaneously. The result of Biplot mapping with average transformation obtained the value of  (79.12%), while standarization transformation obtained the value of  (63.11%). It can be concluded that Biplot mapping with averaging transformation is better than standarization transformation.
Transformasi Biplot Simetri Pada Pemetaan Karakteristik Kemiskinan Desy Komalasari; Mustika Hadijati; . Marwan
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2013.v03.i02.p34

Abstract

The purpose of this research is to provide the new innovations on mapping of poverty characteristics in West Nusa Tenggara Province using Biplot analysis. The analysis based on matrix transformation, singular value decomposition, and matrix factorization. In this research we construct two kind of matrix transformation, that are average transformation and standarization transformation. The result of this research is symmetry Biplot, which maps the regency and  poverty characteristics simultaneously. The result of Biplot mapping with average transformation obtained the value of  (79.12%), while standarization transformation obtained the value of  (63.11%). It can be concluded that Biplot mapping with averaging transformation is better than standarization transformation.
Co-Authors Agus Kurnia Endah Kurniawati Himayati Himayati Husnul Arini Kholif, Kholif Sholehah Indra K Luh Putu Ratna Sundari Marwan Marwan Mustika Hadijati Ni Wayan Switrayni Nurul Fitriyani Nurul Fitriyani Toyyibah, Muslimatun Ulfa Destiarina Wirajaya Kusuma