Articles
<![CDATA[QuartimaxFactor Analysis and Centroid Hierarchical Cluster On Visit Lombok Sumbawa Program (VLS) ]]>
<![CDATA[Komalasari, Desy]]>
<![CDATA[ Jurnal Lembaga Penelitian Universitas Mataram Vol 18, No 2 (2014): Jurnal Penelitian ]]>
Publisher : <![CDATA[Jurnal Lembaga Penelitian Universitas Mataram ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[West Nusa Tenggara Province seeks to promote tourism in its region through a program called Visit Lombok Sumbawa ( VLS ) 2012. This is done because tourism can make a major contribution to the regional economy of NTB. The method used to determinethe effect factors ofthe tourist traffic is factor analysis using the quartimax rotation,and for the grouping of tourists using centroid hierarchichalcluster techniques. Fromthis research were obtained four main factors that affect tourist arrivals in this program, including internal factors derived from tourism, personal factors, hygiene factors and promotion factors. In cluster analysis that using centroid hierarchichal clusterhas formed 3 type tourist clusters,where cluster 1 the group of tourists who tend the internal factors and personal factors, cluster 2 the group of tourists who tend to promotion factor, and cluster 3 the group of tourists who tend thehygiene factor in visiting the sights]]>
<![CDATA[Peranan Statistika dan Pengembangan Karakter dalam Menghadapi Tantangan Era Revolusi Industri 4.0 dan Big Data pada SMAN 1 Praya ]]>
<![CDATA[Agus Kurnia]]>;
<![CDATA[Mustika Hadijati]]>;
<![CDATA[Desy Komalasari]]>;
<![CDATA[Nurul Fitriyani]]>
<![CDATA[ Jurnal Gema Ngabdi Vol. 2 No. 1 (2020): Jurnal Gema Ngabdi ]]>
Publisher : <![CDATA[Universitas Mataram ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.29303/jgn.v2i1.50
<![CDATA[The development of science and technology provides changes to every aspect of human life including social, economic, educational and industrial changes which are now entering stage 4.0. The Era of the Industrial Revolution 4.0 is identical to the Internet of Things which produces Big Data that cannot be processed with conventional devices and requires special analysis. These changes require human resource development in science, education and character in order to continue to compete with the global world, especially the younger generation who will fill the industrial forward. The problem arises because most of the educational outcomes lack a link and match or a good match between tertiary education which causes students to feel wrong about their majors or the incompatibility of their needs and abilities in the industrial world which makes it difficult for them to find a work. Therefore, coaching efforts are needed so that students can be aware and prepare themselves to improve their quality both by increasing hardskills and soft skills to meet these needs. This community service activity is carried out by SMAN 1 Praya as one of the best high schools and is a reference school in West Nusa Tenggara. The method used is the direct learning method that is evaluated using self-assessment techniques conducted by students using google form. Evaluation results show an increase in students' knowledge of statistics and character development needed in the face of the industrial revolution 4.0 and Big Data after they have participated in this dedication activity.]]>
<![CDATA[Model Regresi Zero Inflated Poisson Pada Data Overdispersion ]]>
<![CDATA[Wirajaya Kusuma]]>;
<![CDATA[Desy Komalasari]]>;
<![CDATA[Mustika Hadijati]]>
<![CDATA[ Jurnal Matematika Vol 3 No 2 (2013) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[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.]]>
<![CDATA[Model Regresi Zero Inflated Poisson Pada Data Overdispersion ]]>
<![CDATA[Wirajaya Kusuma]]>;
<![CDATA[Desy Komalasari]]>;
<![CDATA[Mustika Hadijati]]>
<![CDATA[ Jurnal Matematika Vol 3 No 2 (2013) ]]>
Publisher : <![CDATA[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
<![CDATA[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]]>
<![CDATA[Rotasi Varimax dan Median Hirarki Cluster Pada Program Raskin di Kabupaten Lombok Barat ]]>
<![CDATA[Desy Komalasari]]>
<![CDATA[ Jurnal Matematika Vol 5 No 1 (2015) ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Transformasi Biplot Simetri Pada Pemetaan Karakteristik Kemiskinan ]]>
<![CDATA[Desy Komalasari]]>;
<![CDATA[Mustika Hadijati]]>;
<![CDATA[Marwan .]]>
<![CDATA[ Jurnal Matematika Vol 3 No 2 (2013) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[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.]]>
<![CDATA[Transformasi Biplot Simetri Pada Pemetaan Karakteristik Kemiskinan ]]>
<![CDATA[Desy Komalasari]]>;
<![CDATA[Mustika Hadijati]]>;
<![CDATA[. Marwan]]>
<![CDATA[ Jurnal Matematika Vol 3 No 2 (2013) ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Factor Extraction and Bicluster Analysis on Halal Destinations in Lombok Island ]]>
<![CDATA[Desy Komalasari]]>;
<![CDATA[Mustika Hadijati]]>;
<![CDATA[Nurul Fitriyani]]>;
<![CDATA[Agus Kurnia]]>
<![CDATA[ Jurnal Varian Vol 4 No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Bumigora ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30812/varian.v4i1.743
<![CDATA[Indonesia is one of the countries currently developing the concept of halal tourism. Halal tourism includes many variables that are related to each other, which need to be grouped into several main factors that affect tourist visits. This study was conducted to group the variables associated with halal tourism visits to Lombok Island using factor analysis and to classify sub-districts and halal tourism destinations on Lombok Island using the Plaid Bicluster algorithm. Based on the analysis using the main component extraction technique in factor analysis with varimax rotation, it can be concluded that the 9 halal tourism characteristic variables can be grouped into 2 main factors. Furthermore, by using the Plaid Bicluster algorithm, 2 Bicluster were produced. There were 7 sub-districts and 9 destinations formed in Bicluster I, and 8 sub-districts and 3 destinations formed in Bicluster II.]]>
<![CDATA[Small Area Estimation dengan Metode Hierarchical Bayes pada Proporsi Destinasi Objek Wisata Halal Kabupaten Lombok Barat ]]>
<![CDATA[Husnul Arini]]>;
<![CDATA[Desy Komalasari]]>;
<![CDATA[Nurul Fitriyani]]>
<![CDATA[ Eigen Mathematics Journal In Press Desember 2018 ]]>
Publisher : <![CDATA[University of Mataram ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (331.867 KB)
|
DOI: 10.29303/emj.v2i2.19
<![CDATA[Research using Hierarchical Bayes (HB) applied to Small Area Estimation (SAE) was conducted with the aim to estimate the proportion of halal tourism destination in West Lombok Regency. The development of halal taourism object in West Lombok that has been done by the Departement of Culture and Tourism, has not been fully able to do direct estimation on a small area, such as at the sub-district level. One way of obtaining estimation data up to the sub-district level is by increasing the sample size. However, increasing the sample size will cost time and money. Therefore, SAE method can be used to solve the poblem of data optimization. Furthermore, the HB method is used in the process of finding the expected alleged value. The prediction process was performed using Markov Chain Monte Carlo (MCMC) by applying the conditional Gibbs Algorithm of Metropolis-Hasting. Indirect modeling using HB method on SAE is based on the Fay-Herriot model for the area level with the help of supporting variables. The estimation results were then compared with the direct estimates with the value of the variance statistic as a benchmark. The results showed that the estimation using HB gave in a smaller average of variance value score of 0.021, compared with direct estimates with an average of variance value of 0.042. This showed that indirect estimation using HB method gave better result than using direct estimation method.]]>
<![CDATA[Estimasi Parameter Distribusi Mixture Eksponensial dan Weibull dengan Metode Bayesian Markov Chain Monte Carlo ]]>
<![CDATA[Ulfa Destiarina]]>;
<![CDATA[Mustika Hadijati]]>;
<![CDATA[Desy Komalasari]]>;
<![CDATA[Nurul Fitriyani]]>
<![CDATA[ Eigen Mathematics Journal Vol. 2 No. 1 Juni 2019 ]]>
Publisher : <![CDATA[University of Mataram ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (419.669 KB)
|
DOI: 10.29303/emj.v1i1.30
<![CDATA[Dalam estimasi parameter, kadangkala terdapat beberapa permasalahan yang menuntut penyelesaian dengan suatu distribusi mixture atau distribusi campuran. Penelitian ini bertujuan untuk menerapkan estimasi parameter distribusi mixture eksponensial dan Weibull pada data simulasi dengan metode estimasi Bayesian Markov Chain Monte Carlo (MCMC). Hasil yang diperoleh menunjukkan bahwa perhitungan analitik estimasi parameter lebih akurat dibandingkan perhitungan dengan bantuan perangkat lunak, apabila dipandang dari segi kesesuaian teori serta proses integrasinya]]>
