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Peranan Statistika dan Pengembangan Karakter dalam Menghadapi Tantangan Era Revolusi Industri 4.0 dan Big Data pada SMAN 1 Praya Agus Kurnia; Mustika Hadijati; Desy Komalasari; Nurul Fitriyani
Jurnal Gema Ngabdi Vol. 2 No. 1 (2020): Jurnal Gema Ngabdi
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jgn.v2i1.50

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.

Pelatihan Pembuatan Media Pembelajaran Matematika Interaktif Berbasis Microsoft Powerpoint di MA Attamimy Lombok Tengah Nurul Fitriyani; Mustika Hadijati; Lisa Harsyiah; Zulhan Widya Baskara
Jurnal Pengabdian Masyarakat Sains Indonesia Vol. 3 No. 2 (2021)
Publisher : Universitas Mataram

Madrasah Aliyah (MA) Attamimy adalah yang berada di bawah naungan Yayasan Pondok Pesantren Attamimy. MA Attamimy ini memiliki visi dan misi untuk melahirkan manusia-manusia yang berimtaq, berakhlak mulia, serta mampu bersaing menghadapi tantangan zaman global. Pada dasarnya, MA Attamimy ini telah memilki fasilitas komputer beserta akses internet yang cukup memadai, namun penggunaannya belum digunakan secara maksimal. Masalah lain yang juga terjadi adalah munculnya istilah mathematics phobia di kalangan siswa di MA Attamimy. Beberapa kesan negatif mengenai ilmu sains dan matematika ini mengharuskan penyampaian materi dan proses pembelajaran di kelas harus dikemas semenarik mungkin. Tujuan dilakukannya kegiatan Pengabdian kepada Masyarakat ini adalah dalam rangka pemanfaatan internet dan Microsoft PowerPoint dalam membuat media pembelajaran yang interaktif. Berdasarkan kegiatan Pengabdian kepada Masyarakat yang dilakukan di MA Attamimy, perlu untuk dilakukan kegiatan lanjutan sebagai bentuk kesinambungan kegiatan. Microsoft PowerPoint sendiri telah dimanfaatkan dalam membuat media pembelajaran interaktif oleh peserta kegiatan Pengabdian kepada Masyarakat, hanya saja perlu ditingkatkan pemanfaatan fitur-fitur, salah satunya fitur hyperlink, sehingga dapat meningkatkan kualitas pembelajaran.

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

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

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

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

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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

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.

Factor Extraction and Bicluster Analysis on Halal Destinations in Lombok Island Desy Komalasari; Mustika Hadijati; Nurul Fitriyani; Agus Kurnia
Jurnal Varian Vol 4 No 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i1.743

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.

Spline and Kernel Mixed Nonparametric Regression for Malnourished Children Model in West Nusa Tenggara Muhammad Sopian Sauri; Mustika Hadijati; Nurul Fitriyani
Jurnal Varian Vol 4 No 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i2.1003

Health sector development is essential to improve human life quality, especially in West Nusa Tenggara (NTB) Province. Based on data from the NTB Provincial Health Office from 2011 to 2016, children under five suffering from malnutrition continued to increase, caused by several factors that affected the incident. Therefore, appropriate analysis is needed to model children who suffer from malnutrition in NTB Province in 2016, consisting of 10 districts based on the variables that influence it. The analysis in this study was carried out using a nonparametric regression mixed-model spline truncated and kernel. The estimation of the nonparametric regression curve depends on the optimal knot points and bandwidths parameter. Therefore, in determining the optimal knot points and bandwidths obtained from Generalized Cross-Validation (GCV). Based on the analysis that has been done, we obtained a nonparametric regression mixed-model spline truncated and kernel optimal knot points, such as for each variable and optimum bandwidths, such as and , with the value of GCV. The mixed model acquired has a good model by considering the values of and MSE. Besides, the MAPE value indicated a high degree of accuracy, so that the model obtained has an excellent forecast.

Analisis Persepsi Mahasiswa Terhadap Kualitas Merek Sepeda Motor dengan Metode Multidimensional Scaling (MDS) Qomaria Sinta Sari; Mustika Hadijati; Mamika Ujianita Romdhini
Beta: Jurnal Tadris Matematika Vol. 6 No. 1 (2013): Beta Mei
Publisher : Universitas Islam Negeri (UIN) Mataram

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Kebutuhan masyarakat akan alat transportasi yang dapat mendukung segala aktifitas dan mobilitas mereka, khususnya sepeda motor, disambut baik oleh kalangan produsen sepeda motor dengan semakin banyaknya merek-merek sepeda motor yang ada dengan keunggulan yang ditawarkan oleh masing-masing merek sepeda motor. Karena itu dirasa perlu untuk mengetahui persepsi konsumen terhadap kualitas sepeda motor, khususnya mahasiswa yang dalam hal ini adalah mahasiswa Universitas Mataram. Penelitian ini bertujuan untuk mengetahui peta persepsi mahasiswa Universitas Mataram terhadap kualitas merek sepeda motor dengan metode MDS. MDS merupakan salah satu prosedur yang digunakan untuk memetakan peta persepsi atau preferensi konsumen yang menggunakan kualitas merek sepeda motor, yang diperoleh dengan survei langsung menggunakan kusioner. Responden diminta menilai preferensi merek sepeda motor, penilaian menggunakan skala numerik yang memiliki dua kutub ekstrem ( 1 = kriteria yang sangat diinginkan sampai 5 = kriteria yang sangat tidak diinginkan). Hasil penelitian menunjukan model yang terpilih adalah model dengan 2 dimensi dengan kemampuan menjeaskan keragaman responden sebesar 95% . Nilai STRESS model diperoleh sebesar 2,38 %, artinya model MDS terpilih sempurna untuk memodelkan pemasaran sepeda motor, untuk dimensi 1 adalah harga beli dan dimensi 2 adalah Model, diperoleh sepeda motor yang paling bersaing adalah merek Vario, peringkat ke-2 adalah merek Beat, peringkat ke -3 adalah sepeda motor dengan merek-merek Mio dan Soul, dan peringkat terakhir adalah merek-merek Scoopy, Spin, Xeon, Skydrive dan Nex.

Estimasi Parameter Model Moving Average Orde 1 Menggunakan Metode Momen dan Maximum Likelihood Nirwana Nirwana; Mustika Hadijati; Nurul Fitriyani
Eigen Mathematics Journal Vol 1 No 1 Juni 2018
Publisher : University of Mataram

Autoregressive Integrated Moving Average is a model that commonly used to model time series data. One model that can be modeled is Moving Average (MA). In this study, the estimation of parameters was performed to produce the model estimator parameter, where if the order component of the MA model is known, then the methods that can be used are the Ordinary Least Square (OLS) method, Moment method, and Maximum Likelihood method. But in fact, there are often assumption deviations when using the OLS method, one of which occurs heteroscedasticity (variant is not constant) which is produce a poor estimator. This study used both Moment and Maximum Likelihood method in estimating the parameter of the 1st Moving Average model, denoted by MA (1). The result showed that MA (1) parameter model using Moment method gave better result than Maximum Likelihood method. This can be seen from the value of Schwartz Bayesian Criterion (SBC) of both Moment and Maximum Likelihood method parameter estimator with magnified amount of data and various parameters values generated.

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